155 E Learning Specialist jobs in South Africa

Hire Resolve's client is seeking an E-Learning Specialist who will be responsible for the end-to-end design, development, implementation, and management of engaging and effective e-learning solutions for the client. This role requires a blend of instructional design expertise, technical proficiency with e-learning tools and Learning Management Systems, and strong project management skills to support the continuous growth and development of our diverse workforce across Africa.Responsibilities: Design and Develop E-Learning Content: Create comprehensive instructional materials, including interactive modules, video content, assessments, and quizzes. Utilize industry-standard authoring tools (e.g., Articulate Storyline, Adobe Captivate, Lectora, Camtasia) to design engaging e-learning courses. Apply instructional design theories, practices, and methods to create effective online learning experiences tailored to adult learners. Collaborate closely with subject matter experts (SMEs) from various departments to translate complex learning objectives into clear, concise, and impactful e-learning content. Design logical learning paths and develop structured e-learning programs that align with organizational goals and operational needs. Learning Management System (LMS) Administration: Set up, manage, and maintain LMS platforms (e.g., Moodle, Blackboard, Canvas, Talent LMS) to efficiently deliver e-learning courses. Monitor and troubleshoot technical issues within the LMS, ensuring a seamless and positive user experience for all learners. Track learner progress and performance, and generate insightful reports from the LMS to inform decision-making. Multimedia Production: Create high-quality multimedia elements (audio, video, graphics) to enhance the visual appeal and engagement of learning experiences. Edit videos, record professional voiceovers, and create animations to ensure high-quality content delivery. Evaluation and Assessment: Develop robust assessments and evaluation strategies to accurately measure learners’ understanding of course materials and overall program effectiveness. Analyze assessment results and feedback to identify areas for improvement and iteratively enhance course design. Conduct usability testing to gather feedback on course functionality, content clarity, and overall learner satisfaction. Continuous Improvement: Stay abreast of the latest e-learning trends, tools, technologies, and best practices in the digital learning space. Implement feedback from learners and instructors to continuously improve content quality, instructional effectiveness, and user experience. Experiment with new teaching methods and technologies, such as virtual reality (VR) or gamification, to enhance engagement and learning outcomes. Project Management: Effectively manage e-learning projects from inception to completion, adhering to defined timelines, budgets, and deliverables. Work collaboratively with cross-functional teams, including instructional designers, IT specialists, and developers, to successfully execute e-learning initiatives. Ensure all courses are delivered on time, within scope, and consistently meet high-quality standards. Administration & Reporting: Provide monthly reports on training conducted, including participation rates, completion rates, and assessment results. Report on training feedback received from attendees, summarizing insights and recommending actionable improvements Minimum Requirements:Bachelor’s degree in Education, Instructional Design, Educational Technology, Information Technology, or a closely related field. SDF (Skills Development Facilitator) certification. Certified Professional in Learning and Performance (CPLP). E-Learning Instructional Design Certificate from a recognized organization. Project Management Professional (PMP) certification, particularly for managing large-scale e-learning projects. 5-6 years of related experience in e-learning development, instructional design, curriculum development, or multimedia content creation. Hands-on experience with Learning Management Systems (LMS), such as Moodle, Blackboard, Canvas, or Talent LMS. Proficiency with e-learning authoring tools such as Articulate Storyline, Adobe Captivate, Lectora, or Camtasia. Ability to use e-learning authoring tools effectively. Proficiency with multimedia editing software (e.g., Adobe Suite, Final Cut Pro) for audio, video, and graphic design. Basic understanding of web development fundamentals (e.g., HTML, CSS) to create and manage content. Instructional Design Expertise: Strong knowledge of adult learning theories, instructional design principles, and best practices for creating engaging online learning experiences. Strong Organizational Skills: Ability to effectively manage multiple projects simultaneously, prioritize tasks, and meet tight deadlines. Creativity: Demonstrated ability to develop innovative, engaging, and visually appealing digital learning materials. Communication: Excellent written and verbal communication skills, with the ability to collaborate effectively with Subject Matter Experts, developers, and end-users. Problem-Solving: Analytical skills to evaluate the effectiveness of learning programs, identify challenges, and troubleshoot technical or content-related issues. Data Analysis: Ability to analyze user data, feedback, and learning outcomes to continuously enhance course effectiveness and achieve desired results. Adaptability: Eagerness and ability to keep pace with evolving technologies and emerging trends in the e-learning space. Attention to Detail: Meticulous attention to detail, ensuring high quality and accuracy in all aspects of course design and technical implementation. Collaboration: Proven ability to work effectively and collaboratively with instructional designers, developers, and various stakeholders across the organization. Valid driver’s license with own reliable transport. Benefits: Competitive salary based on experience. IF you meet the above requirements and want to make a career-changing move, apply today by emailing your CV to You can also connect with Daniel on Linked In or contact Hire ResolveIf you meet the above requirements we will contact you within 3 working days #J-18808-Ljbffr

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Staff Scientist (Machine Learning Specialist) - SDL6

Date Posted: 08/07/2025
Req ID: 44678
Faculty/Division: Faculty of Arts & Science
Department: Acceleration Consortium
Campus : St. George (Downtown Toronto)

Description:

The Acceleration Consortium (AC) at the University of Toronto (U of T) is leading a transformative shift in scientific discovery that will accelerate technology development and commercialization. The AC is a global community of academia, industry, and government that leverages the power of artificial intelligence (AI), robotics, materials sciences, and high-throughput chemistry to create self-driving laboratories (SDLs), also called materials acceleration platforms (MAPs). These autonomous labs rapidly design materials and molecules needed for a sustainable, healthy, and resilient future, with applications ranging from renewable energy and consumer electronics to drugs. AC Staff Scientists will advance the field of AI-driven autonomous discovery and develop the materials and molecules required to address society’s largest challenges, such as climate change, water pollution, and future pandemics.

The Acceleration Consortium (AC) promotes an inclusive research environment and supports the EDI priorities of the unit.

The Acceleration Consortium received a$200M Canadian First Research Excellence Grant for seven years to develop self-driving labs for chemistry and materials, the largest ever grant to a Canadian University. This grant will provide the Acceleration Consortium with seven years of funding to execute its vision.

The AC is developing seven advanced SDLs plus an AI and Automation lab:

• SDL1 - Inorganic solid-state compounds for advanced materials and energy
• SDL2 - Organic small molecules for sustainability and health
• SDL3 - Medicinal chemistry for improving small molecule drug candidates
• SDL4 - Polymers for materials science and biological applications
• SDL5 - Formulations for pharmaceuticals, consumer products, and coatings
• SDL6 - Biocompatibility with organoids / organ-on-a-chip
• SDL7 - Synthetic scale-up of materials and molecules (University of British Columbia partner lab)
• A central AI and Automation lab to support all the SDLs

Position Overview:

We are seeking a motivated and skilled researcher to join the Acceleration Consortium working with the Human Organ Mimicry SDL. The Self-Driving Lab (SDL) focused on Human Organ Mimicry (HOM) embodies an autonomous artificial intelligence (AI)-assisted platform for culturing and screening high-fidelity models of functional tissues and diseases. In addition to fundamental capabilities like cell passaging and sample preparation, the platform will facilitate closed-loop optimization campaigns designed to optimize cell culture conditions (e.g., growth media and extracellular matrix support), automated generation of model-specific datasets and production of highly reproducible batches of cells with specific phenotypes (e.g., patient-derived organoids (PDOs) and differentiated iPSCs), and development of advanced automated workflows and AI tools (e.g., static and dynamic co-culture organ-on-a-chip (OOC) models, colony picking and bioprinting).

The ideal candidate should have strong expertise performing machine learning (ML), computational biology with the capability and/or experience to apply those skills toward imaging data (e.g., live cell microscopy). The successful candidate will contribute to advancing machine learning-driven analysis of high-content imaging data to achieve 1) better OOC tissue model functional evaluation and clinical benchmarking, 2) optimization on cost-efficient workflow and reproducibility. The candidate must have knowledge of current machine learning models, including their strengths, deficiencies, and strategies for (hyper)parameter optimization. Prior use of Bayesian optimization or other relevant active learning algorithms is preferred. Strong coding skills in Python or a comparable programming language are expected, with the ability to develop analysis pipelines and tools that meet project deadlines and are suitable for publication-quality research. The role will involve developing novel computational approaches for biological discovery and working collaboratively in an interdisciplinary research environment. Additional expertise related to biological knowledge of the wet lab experimentation required to gather imaging data is an optional benefit.

This posted position is for a Staff Scientist at SDL6 (Human Organ Mimicry).

Expertise that is desired:

Computational expertise

• Life science and physical science applications of machine learning in biology, bioengineering or molecular biology or any other relevant fields.
• Programming and high-performance computing
• Experience in design of computational pipelines for large-scale imaging
• Experience with programming languages and scripting methods (i.e. Python, MATLAB, C++, CUDA, Bash, and/or SQL) and machine learning / deep learning methods
• Active learning, exploration, optimal experiment design, Bayesian optimization, reinforcement learning, and/or representation learning
• Experience in development and application of machine learning/deep learning methods for high throughput cell imaging data

Additional expertise that is desired (but not required):

• Experience with ML-based tools for image-analysis and signal processing, development of ML prediction tools
• Experience with PyTorch and/or TensorFlow, experience with databases and high-content imaging platforms
• Familiarity with generative modeling
• Experience with advanced ML techniques for representation learning and multi-modal data integration

The StaffScientist will work with a diverse team of leading experts at U of T, including Professors Alán Aspuru-Guzik, Anatole von Lilienfeld, Florian Shkurti, Animesh Garg, Oleksandr Voznyy, Robert Batey, Cheryl Arrowsmith, Milica Radisic, and Vuk Stambolic. The Staff Scientist will also work with Staff Scientists in Human Organ Mimicry and AI SDL.

The Staff Scientists involved in the AC are highly skilled and experienced researchers who will work independently to develop the AI and automation technologies required to build robust and scalable self-driving labs, manage these SDLs, and design and implement research programs (based on the direction of the AC’s scientific leadership team) that leverage the SDL platforms to discover materials and molecules. Moreover, the Staff Scientists will work collectively, sharing knowledge among each other, faculty, and trainees. This role will report to the Academic Director and Executive Director of the Acceleration Consortium.

The components and duties of the work can include:

• Machine learning for SDL Development

Working with the AC community, including faculty and partners, this candidate will align computational methods with experimental workflows. The focus will be on developing advanced machine learning algorithms for monitoring various in vitro cell culture models (2D, 3D, organoids and OOCs), as well as enabling data-driven autonomous experimentation. Developing computational tools for the analysis of high-resolution microscopy images of complex tissue models and extracting biologically meaningful insights to support quality control and autonomous decision-making.

• SDL and Automation Development

Working with the AC community, including faculty and partners, determine the required capabilities of the SDLs to be built. Design and testing of closed-loop optimization campaigns for cell culture media optimization using the selected framework. Developing SDL plans to meet user requirements and designing novel instruments for autonomous cell culture experiments. Developing customized hardware and Python software packages to build SDLs. Selecting, procurement, and installation of the equipment required for SDLs.

• Research Direction

Working independently to develop research programs that leverage the AC’s SDLs and supports the research objectives of academic and industrial partners. Translating computational approaches ranging from 2D cell culture models to more complex 3D systems (i.e. organoids and OOCs), with the goal of creating advanced biomimetic models that closely replicate human organ functions and produce clinically relevant data. Preparing and publishing high-quality research manuscripts and contributing to grant writing efforts.

Tasks include:

• Managing the research and development projects of AC’s industry partners when implemented in AC labs
• Developing plans supporting research collaborations and estimating financial resources required for programs and/or projects
• Working with Product Managers to ensure research outcomes meet partner requirements
• Promoting AC’s research capacity, including delivering presentations at conferences
• Collaboration in preparing and submitting research proposals to granting agencies and progress reporting
• Preparing manuscripts for submission to peer review publications/journals and stewarding them through the process
• Mentor junior lab members and promote a collaborative team environment

Other

• Supporting consulting services related to the application of SDLs for materials discovery for the AC’s partners
• Support research-focused events such as Annual Symposium

MINIMUM QUALIFICATIONS:

Education –Ph.D. in computational biology, bioinformatics, biophysics, biomedical engineering, computer science, or a related field.

Experience

• 5 to 10 years of experience (inclusive of PhD and/or post-graduate work) in accelerated research and development in the area of development and application of machine learning/deep learning methods for biological or chemical data analysis
• Experience working closely with a Principal Investigator or as a Principal Investigator or as Project Director with responsibilities of managing, developing and executing a major research project in the area of AI, machine learning, and/or advanced computational analysis and modeling of biological phenomena
• Experience withoverseeing the activities of a lab
• Experience working with industry partners and on industry-led research and development projects
• Strong experience presenting research at academic conferences
• Demonstrated record of academic and/or research excellence
• Must have a strong scholarly publication record

Skills

• Skills in electronic/hardware-oriented programming and machine learning
• Strong and effective communicator in oral and written English
• Collegial when working with team members and collaborators
• Ability to work independently

Other

• Demonstrated success in writing and preparing manuscripts, presentations, reports, briefs, and scientific abstracts, and manuscripts for peer-reviewed journals

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority

Closing Date: 10/30/2025, 11:59PM ET
Employee Group: Research Associate
Appointment Type : Grant - Continuing
Schedule: Full-Time
Pay Scale Group & Hiring Zone: $2,617.00 - 150,000(salary will be assessed basedon skills and experience)
Job Category: Research Administration & Teaching

Diversity Statement

The University of Toronto embraces Diversity and is building aculture of belonging that increases our capacity to effectivelyaddress and serve the interests of our global community. Westrongly encourage applications from Indigenous Peoples,Black and racialized persons, women, persons withdisabilities, and people of diverse sexual and gender identities.We value applicants who have demonstrated a commitment toequity, diversity and inclusion and recognize that diverseperspectives, experiences, and expertise are essential tostrengthening our academic mission.

As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see .

Accessibility Statement

The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.

The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.

If you require any accommodations at any point during the application and hiring process, please .

#J-18808-Ljbffr

Staff Research Scientist (Machine Learning Specialist) - SDL6

Date Posted: 09/02/2025
Req ID: 45033
Faculty/Division: Faculty of Arts & Science
Department: Acceleration Consortium
Campus: St. George (Downtown Toronto)

Description:

The Acceleration Consortium (AC) at the University of Toronto (U of T) is leading a transformative shift in scientific discovery that will accelerate technology development and commercialization. The AC is a global community of academia, industry, and government that leverages the power of artificial intelligence (AI), robotics, materials sciences, and high-throughput chemistry to create self-driving laboratories (SDLs), also called materials acceleration platforms (MAPs). These autonomous labs rapidly design materials and molecules needed for a sustainable, healthy, and resilient future, with applications ranging from renewable energy and consumer electronics to drugs. AC Staff Research Scientists will advance the field of AI-driven autonomous discovery and develop the materials and molecules required to address society’s largest challenges, such as climate change, water pollution, and future pandemics.

The Acceleration Consortium (AC) promotes an inclusive research environment and supports the EDI priorities of the unit.

The Acceleration Consortium received a $200M Canadian First Research Excellence Grant for seven years to develop self-driving labs for chemistry and materials, the largest ever grant to a Canadian University. This grant will provide the AC with seven years of funding to execute its vision.

The AC is developing seven advanced SDLs plus an AI and Automation lab:

• SDL1 - Inorganic solid-state compounds for advanced materials and energy
• SDL2 - Organic small molecules for sustainability and health
• SDL3 - Medicinal chemistry for improving small molecule drug candidates
• SDL4 - Polymers for materials science and biological applications
• SDL5 - Formulations for pharmaceuticals, consumer products, and coatings
• SDL6 - Biocompatibility with organoids / organ-on-a-chip
• SDL7 - Synthetic scale-up of materials and molecules (University of British Columbia partner lab)
• A central AI and Automation lab to support all the SDLs

Position Overview:

We are seeking a motivated and skilled researcher to join the Acceleration Consortium working with the Human Organ Mimicry SDL. The Self-Driving Lab (SDL) focused on Human Organ Mimicry (HOM) embodies an autonomous artificial intelligence (AI)-assisted platform for culturing and screening high-fidelity models of functional tissues and diseases. In addition to fundamental capabilities like cell passaging and sample preparation, the platform will facilitate closed-loop optimization campaigns designed to optimize cell culture conditions (e.g., growth media and extracellular matrix support), automated generation of model-specific datasets and production of highly reproducible batches of cells with specific phenotypes (e.g., patient-derived organoids (PDOs) and differentiated iPSCs), and development of advanced automated workflows and AI tools (e.g., static and dynamic co-culture organ-on-a-chip (OOC) models, colony picking and bioprinting).

The ideal candidate should have strong expertise performing machine learning (ML), computational biology with the capability and/or experience to apply those skills toward imaging data (e.g., live cell microscopy). The successful candidate will contribute to advancing machine learning-driven analysis of high-content imaging data to achieve 1) better OOC tissue model functional evaluation and clinical benchmarking, 2) optimization on cost-efficient workflow and reproducibility. The candidate must have knowledge of current machine learning models, including their strengths, deficiencies, and strategies for (hyper)parameter optimization. Prior use of Bayesian optimization or other relevant active learning algorithms is preferred. Strong coding skills in Python or a comparable programming language are expected, with the ability to develop analysis pipelines and tools that meet project deadlines and are suitable for publication-quality research. The role will involve developing novel computational approaches for biological discovery and working collaboratively in an interdisciplinary research environment. Additional expertise related to biological knowledge of the wet lab experimentation required to gather imaging data is an optional benefit.

This posted position is for a Staff Research Scientist at SDL6 (Human Organ Mimicry).

This is a two-year term with the possibility of renewal.

Expertise that is desired:

Computational expertise

• Life science and physical science applications of machine learning in biology, bioengineering or molecular biology or any other relevant fields.
• Programming and high-performance computing
• Experience in design of computational pipelines for large-scale imaging
• Experience with programming languages and scripting methods (i.e. Python, MATLAB, C++, CUDA, Bash, and/or SQL) and machine learning / deep learning methods
• Active learning, exploration, optimal experiment design, Bayesian optimization, reinforcement learning, and/or representation learning
• Experience in development and application of machine learning/deep learning methods for high throughput cell imaging data

Additional expertise that is desired (but not required):

• Experience with ML-based tools for image-analysis and signal processing, development of ML prediction tools
• Experience with PyTorch and/or TensorFlow, experience with databases and high-content imaging platforms
• Familiarity with generative modeling
• Experience with advanced ML techniques for representation learning and multi-modal data integration

The Staff Research Scientist will work with a diverse team of leading experts at U of T, including Professors Alán Aspuru-Guzik, Anatole von Lilienfeld, Florian Shkurti, Animesh Garg, Oleksandr Voznyy, Robert Batey, Cheryl Arrowsmith, Milica Radisic, and Vuk Stambolic. The Staff Research Scientist will also work with Staff Scientists in Human Organ Mimicry and AI SDL.

The Staff Research Scientists involved in the AC are highly skilled and experienced researchers who will work independently to develop the AI and automation technologies required to build robust and scalable self-driving labs, manage these SDLs, and design and implement research programs (based on the direction of the AC’s scientific leadership team) that leverage the SDL platforms to discover materials and molecules. Moreover, the Staff Research Scientists will work collectively, sharing knowledge among each other, faculty, and trainees. This role will report to the Academic Director and Executive Director of the Acceleration Consortium.

The components and duties of the work can include:

• Machine learning for SDL Development

Working with the AC community, including faculty and partners, this candidate will align computational methods with experimental workflows. The focus will be on developing advanced machine learning algorithms for monitoring various in vitro cell culture models (2D, 3D, organoids and OOCs), as well as enabling data-driven autonomous experimentation. Developing computational tools for the analysis of high-resolution microscopy images of complex tissue models and extracting biologically meaningful insights to support quality control and autonomous decision-making.

• SDL and Automation Development

Working with the AC community, including faculty and partners, determine the required capabilities of the SDLs to be built. Design and testing of closed-loop optimization campaigns for cell culture media optimization using the selected framework. Developing SDL plans to meet user requirements and designing novel instruments for autonomous cell culture experiments. Developing customized hardware and Python software packages to build SDLs. Selecting, procurement, and installation of the equipment required for SDLs.

• Research Direction

Working independently to develop research programs that leverage the AC’s SDLs and supports the research objectives of academic and industrial partners. Translating computational approaches ranging from 2D cell culture models to more complex 3D systems (i.e. organoids and OOCs), with the goal of creating advanced biomimetic models that closely replicate human organ functions and produce clinically relevant data. Preparing and publishing high-quality research manuscripts and contributing to grant writing efforts.

Tasks include:

• Managing the research and development projects of AC’s industry partners when implemented in AC labs
• Developing plans supporting research collaborations and estimating financial resources required for programs and/or projects
• Working with Product Managers to ensure research outcomes meet partner requirements
• Promoting AC’s research capacity, including delivering presentations at conferences
• Collaboration in preparing and submitting research proposals to granting agencies and progress reporting
• Preparing manuscripts for submission to peer review publications/journals and stewarding them through the process
• Mentor junior lab members and promote a collaborative team environment

Other

• Supporting consulting services related to the application of SDLs for materials discovery for the AC’s partners
• Support research-focused events such as Annual Symposium

MINIMUM QUALIFICATIONS:

Education – Ph.D. in computational biology, bioinformatics, biophysics, biomedical engineering, computer science, or a related field.

Experience

• One (1) to 5 years of experience (inclusive of PhD and/or post-graduate work) in accelerated research and development in the area of development and application of machine learning/deep learning methods for biological or chemical data analysis
• Experience working closely with a Principal Investigator or as a Principal Investigator or as Project Director with responsibilities of managing, developing and executing a major research project in the area of AI, machine learning, and/or advanced computational analysis and modeling of biological phenomena
• Experience with overseeing the activities of a lab.
• Experience working with industry partners and on industry led research and development projects.
• Strong experience presenting research at academic conferences.
• Demonstrated record of academic and/or research excellence
• Must have a strong scholarly publication record.

Skills

• Skills in electronic/hardware-oriented programming and machine learning
• Strong and effective communicator in oral and written English
• Collegial in working with team members and collaborators.
• Ability to work independently.

Other

• Demonstrated success in writing and preparing manuscripts, presentations, reports, briefs, and scientific abstracts, and manuscripts for peer-reviewed journals

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority

Closing Date: 10/31/2025, 11:59PM ET
Employee Group: Research Associate
Appointment Type: Grant - Term (2 years term with possibility of renewal)
Schedule: Full-Time
Pay Scale Group & Hiring Zone: R01 -- Research Associates (Limited Term): $3,520 - 100,350 (salary will be assessed and may go above the range based on skills and experience)
Job Category: Research Administration & Teaching

Diversity Statement

The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission.

Accessibility Statement

The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission. The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities. If you require any accommodations at any point during the application and hiring process, please contact

#J-18808-Ljbffr

Staff Research Scientist (Machine Learning Specialist) - SDL6 Date Posted: 09/02/2025Req ID: 45033Faculty/Division: Faculty of Arts & ScienceDepartment: Acceleration ConsortiumCampus: St. George (Downtown Toronto) Description: The Acceleration Consortium (AC) at the University of Toronto (U of T) is leading a transformative shift in scientific discovery that will accelerate technology development and commercialization. The AC is a global community of academia, industry, and government that leverages the power of artificial intelligence (AI), robotics, materials sciences, and high-throughput chemistry to create self-driving laboratories (SDLs), also called materials acceleration platforms (MAPs). These autonomous labs rapidly design materials and molecules needed for a sustainable, healthy, and resilient future, with applications ranging from renewable energy and consumer electronics to drugs. AC Staff Research Scientists will advance the field of AI-driven autonomous discovery and develop the materials and molecules required to address society’s largest challenges, such as climate change, water pollution, and future pandemics. The Acceleration Consortium (AC) promotes an inclusive research environment and supports the EDI priorities of the unit. The Acceleration Consortium received a $200 M Canadian First Research Excellence Grant for seven years to develop self-driving labs for chemistry and materials, the largest ever grant to a Canadian University. This grant will provide the AC with seven years of funding to execute its vision. The AC is developing seven advanced SDLs plus an AI and Automation lab: SDL1 - Inorganic solid-state compounds for advanced materials and energy SDL2 - Organic small molecules for sustainability and health SDL3 - Medicinal chemistry for improving small molecule drug candidates SDL4 - Polymers for materials science and biological applications SDL5 - Formulations for pharmaceuticals, consumer products, and coatings SDL6 - Biocompatibility with organoids / organ-on-a-chip SDL7 - Synthetic scale-up of materials and molecules (University of British Columbia partner lab) A central AI and Automation lab to support all the SDLs Position Overview: We are seeking a motivated and skilled researcher to join the Acceleration Consortium working with the Human Organ Mimicry SDL. The Self-Driving Lab (SDL) focused on Human Organ Mimicry (HOM) embodies an autonomous artificial intelligence (AI)-assisted platform for culturing and screening high-fidelity models of functional tissues and diseases. In addition to fundamental capabilities like cell passaging and sample preparation, the platform will facilitate closed-loop optimization campaigns designed to optimize cell culture conditions (e.g., growth media and extracellular matrix support), automated generation of model-specific datasets and production of highly reproducible batches of cells with specific phenotypes (e.g., patient-derived organoids (PDOs) and differentiated i PSCs), and development of advanced automated workflows and AI tools (e.g., static and dynamic co-culture organ-on-a-chip (OOC) models, colony picking and bioprinting). The ideal candidate should have strong expertise performing machine learning (ML), computational biology with the capability and/or experience to apply those skills toward imaging data (e.g., live cell microscopy). The successful candidate will contribute to advancing machine learning-driven analysis of high-content imaging data to achieve 1) better OOC tissue model functional evaluation and clinical benchmarking, 2) optimization on cost-efficient workflow and reproducibility. The candidate must have knowledge of current machine learning models, including their strengths, deficiencies, and strategies for (hyper)parameter optimization. Prior use of Bayesian optimization or other relevant active learning algorithms is preferred. Strong coding skills in Python or a comparable programming language are expected, with the ability to develop analysis pipelines and tools that meet project deadlines and are suitable for publication-quality research. The role will involve developing novel computational approaches for biological discovery and working collaboratively in an interdisciplinary research environment. Additional expertise related to biological knowledge of the wet lab experimentation required to gather imaging data is an optional benefit. This posted position is for a Staff Research Scientist at SDL6 (Human Organ Mimicry). This is a two-year term with the possibility of renewal. Expertise that is desired: Computational expertise Life science and physical science applications of machine learning in biology, bioengineering or molecular biology or any other relevant fields. Programming and high-performance computing Experience in design of computational pipelines for large-scale imaging Experience with programming languages and scripting methods (i.e. Python, MATLAB, C++, CUDA, Bash, and/or SQL) and machine learning / deep learning methods Active learning, exploration, optimal experiment design, Bayesian optimization, reinforcement learning, and/or representation learning Experience in development and application of machine learning/deep learning methods for high throughput cell imaging data Additional expertise that is desired (but not required): Experience with ML-based tools for image-analysis and signal processing, development of ML prediction tools Experience with Py Torch and/or Tensor Flow, experience with databases and high-content imaging platforms Familiarity with generative modeling Experience with advanced ML techniques for representation learning and multi-modal data integration The Staff Research Scientist will work with a diverse team of leading experts at U of T, including Professors Alán Aspuru-Guzik, Anatole von Lilienfeld, Florian Shkurti, Animesh Garg, Oleksandr Voznyy, Robert Batey, Cheryl Arrowsmith, Milica Radisic, and Vuk Stambolic. The Staff Research Scientist will also work with Staff Scientists in Human Organ Mimicry and AI SDL. The Staff Research Scientists involved in the AC are highly skilled and experienced researchers who will work independently to develop the AI and automation technologies required to build robust and scalable self-driving labs, manage these SDLs, and design and implement research programs (based on the direction of the AC’s scientific leadership team) that leverage the SDL platforms to discover materials and molecules. Moreover, the Staff Research Scientists will work collectively, sharing knowledge among each other, faculty, and trainees. This role will report to the Academic Director and Executive Director of the Acceleration Consortium. The components and duties of the work can include: Machine learning for SDL Development Working with the AC community, including faculty and partners, this candidate will align computational methods with experimental workflows. The focus will be on developing advanced machine learning algorithms for monitoring various in vitro cell culture models (2 D, 3 D, organoids and OOCs), as well as enabling data-driven autonomous experimentation. Developing computational tools for the analysis of high-resolution microscopy images of complex tissue models and extracting biologically meaningful insights to support quality control and autonomous decision-making. SDL and Automation Development Working with the AC community, including faculty and partners, determine the required capabilities of the SDLs to be built. Design and testing of closed-loop optimization campaigns for cell culture media optimization using the selected framework. Developing SDL plans to meet user requirements and designing novel instruments for autonomous cell culture experiments. Developing customized hardware and Python software packages to build SDLs. Selecting, procurement, and installation of the equipment required for SDLs. Research Direction Working independently to develop research programs that leverage the AC’s SDLs and supports the research objectives of academic and industrial partners. Translating computational approaches ranging from 2 D cell culture models to more complex 3 D systems (i.e. organoids and OOCs), with the goal of creating advanced biomimetic models that closely replicate human organ functions and produce clinically relevant data. Preparing and publishing high-quality research manuscripts and contributing to grant writing efforts. Tasks include: Managing the research and development projects of AC’s industry partners when implemented in AC labs Developing plans supporting research collaborations and estimating financial resources required for programs and/or projects Working with Product Managers to ensure research outcomes meet partner requirements Promoting AC’s research capacity, including delivering presentations at conferences Collaboration in preparing and submitting research proposals to granting agencies and progress reporting Preparing manuscripts for submission to peer review publications/journals and stewarding them through the process Mentor junior lab members and promote a collaborative team environment Other Supporting consulting services related to the application of SDLs for materials discovery for the AC’s partners Support research-focused events such as Annual Symposium MINIMUM QUALIFICATIONS: Education – Ph. D. in computational biology, bioinformatics, biophysics, biomedical engineering, computer science, or a related field. Experience One (1) to 5 years of experience (inclusive of Ph D and/or post-graduate work) in accelerated research and development in the area of development and application of machine learning/deep learning methods for biological or chemical data analysis Experience working closely with a Principal Investigator or as a Principal Investigator or as Project Director with responsibilities of managing, developing and executing a major research project in the area of AI, machine learning, and/or advanced computational analysis and modeling of biological phenomena Experience with overseeing the activities of a lab. Experience working with industry partners and on industry led research and development projects. Strong experience presenting research at academic conferences. Demonstrated record of academic and/or research excellence Must have a strong scholarly publication record. Skills Skills in electronic/hardware-oriented programming and machine learning Strong and effective communicator in oral and written English Collegial in working with team members and collaborators. Ability to work independently. Other Demonstrated success in writing and preparing manuscripts, presentations, reports, briefs, and scientific abstracts, and manuscripts for peer-reviewed journals All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority Closing Date: 10/31/2025, 11:59 PM ETEmployee Group: Research AssociateAppointment Type: Grant - Term (2 years term with possibility of renewal)Schedule: Full-TimePay Scale Group & Hiring Zone: R01 -- Research Associates (Limited Term): $3,520 - 100,350 (salary will be assessed and may go above the range based on skills and experience)Job Category: Research Administration & Teaching Diversity Statement The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission. Accessibility Statement The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission. The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities. If you require any accommodations at any point during the application and hiring process, please contact #J-18808-Ljbffr

Job Purpose

To ensure the delivery of occupationally directed education, training and development to the company line managers and employees in order to improve the performance of individuals and effectiveness of the organisation. Reporting to Learning and Development Manager.

Minimum Requirements

• Matric/ Grade 12
• National Diploma in Human Resource Management or relevant tertiary qualification in the Education, Training and Development field at NQF level 6
• Registered Skills Development Facilitator / Coach and Mentor / Assessor and Moderator
• 2+ years in a similar role

Main Requirements HR Legislation

• Translate legislative changes into relevant HR Policies and Practices
• An in depth understanding of and to comply with the relevant HR Legislation (Labour Relations Act, Employment Equity Act, BBBEE Act, Skills Development Act, MIBCO Main Agreement etc.)

Employment Equity

• Participate in the implementation and utilisation of equity related processes

BBBEE

• Create an awareness of BBBEE within the Group
• Assist the Learning & Development Manager with the skills element within BBBEE

Training and Development

• Assist the line managers and facilitators in identifying employee training needs and problem solving around these issues
• Analyse the individual development plans of employees to understand the training and development requirements
• Discuss with external suppliers and facilitators on specific requirements of the learning and development intervention and source details, as defined in the training strategy, in order to meet organisational, departmental and individual development needs. (evaluate the programmes using accepted criteria)
• Schedule staff to attend internal and external learning events in accordance with the wider learning and development strategy
• Develop material for in-house training
• Ensure that appropriate resources are available, e.g. venue, equipment, course material, manpower, etc.
• Collate training information for audit purposes – BBBEE, ISO etc.
• Participate in audits and ensure recommendations are actioned
• Facilitate internal training interventions
• Gather information for learning communications i.e. noticeboards, newsletters etc.
• Collate learning and development evaluations to enable amendments to programmes
• Provide technical expertise on external industry committees and bodies

Administration

• Prepare learning and development materials to a consistently high standard and ensure that they reach the delegates/facilitators within agreed timescales
• Update the learning and development calendar

Workplace Assessments

• Administer, coordinate and maintain assessment records
• Coordinate Standards Based Assessments processes and conduct outcomes-based assessments

SETA Management

• Manage learners and learnerships through the SETA
• Co-ordinate and provide input into the Workplace Skills Plan to ensure accurate and timely submission
• Provide administrative support in the skills development levy claim process
• Perform programme planning, co-ordination and qualification development within the SETA framework

Reporting

• Compile Training and Development monthly reports

#J-18808-Ljbffr

Discovery Institute of Training

Learning & Development Specialist

Sandton- Hybrid

Primary function of the role

KEY PURPOSE

The vacancy is for a Learning and Development Specialist to join the Discovery Institute of Training. This role is responsible for designing, developing, delivering, and implementing impactful learning solutions that build capability across various roles and levels within Discovery. These include leadership development, core (soft) skills, and business performance support, using a mix of in-person facilitation, virtual training, and digital formats. In addition to design responsibilities, this role will also be accountable for the effective delivery and facilitation of training interventions across multiple modalities, ensuring meaningful learning experiences and driving behaviour change and performance improvement.

KEY OUTPUTS

• Learning needs analysis and stakeholder consultation: Conduct in-depth learning needs analyses in consultation with a wide range of stakeholders on all levels. Identify skills gaps, performance challenges, and capability needs across the organisation.
• Design, development, and delivery of learning solutions: Design, develop, and deliver high-impact learning interventions using a blended learning approach, including in-person facilitation, virtual training, and digital content, to support leadership development, core (soft) skills, and business performance.
• Training facilitation: Facilitate engaging, high-quality leadership development and core (soft) skills training sessions that drive behaviour change and performance outcomes. Ensure facilitation is tailored to the audience and aligned with business objectives.
• Learning project initiation and management: Initiate and manage custom learning and business support initiatives that align with business strategy and drive measurable impact. Propose and implement new tools, methodologies, and learning solutions that positively influence performance.
• Strategic contribution and innovation: Actively contribute to the strategic planning and continuous improvement of the Discovery Institute of Training. Use deep learning and development knowledge and experience to shape departmental direction, propose innovative solutions, and align team outputs with strategic business goals.
• Impact measurement and evaluation: Track, analyse, and report on the effectiveness and business impact of learning initiatives. Use data and feedback to continuously refine and improve learning solutions.
• Champion innovation and the effective use of AI and emerging technologies: Leverage AI and other emerging technologies to enhance the design, development, and delivery of learning solutions. Champion innovation by identifying and implementing new tools, platforms, and methodologies that improve learner engagement, efficiency, and impact. Act as a change agent within the team and organisation by promoting a culture of continuous improvement, experimentation, and future-focused thinking.
• Quality assurance and best practice implementation: Uphold best practices in adult learning, learning design methodologies (e.g., 6Ds, ADDIE), and performance consulting. Ensure learning content and facilitation consistently meet high-quality standards and compliance requirements.

COMPETENCIES

• Learning and development expertise: Deep understanding of adult learning principles, learning design methodologies (e.g., 6Ds, ADDIE), and best practices in training delivery and facilitation.
• Instructional design capability: Strong ability to design and develop engaging, outcomes-based learning experiences across various modalities (classroom, virtual, digital).
• Facilitation skills: Excellent facilitation and presentation skills, with the ability to engage diverse learners across roles and levels, both in-person and virtually.
• Stakeholder management: Strong interpersonal skills and the ability to consult, influence, and build trusted relationships with diverse internal stakeholders at all levels.
• Strategic thinking: Ability to align learning initiatives with business strategy, contribute to departmental planning, and identify opportunities for value creation.
• Project management: Demonstrated ability to manage complex projects, timelines, and cross-functional teams, ensuring successful implementation and measurable outcomes.
• Analytical and impact-driven: Skilled in evaluating learning effectiveness and using data to make informed decisions that drive continuous improvement and business performance.
• Innovation and technology savvy: Forward-thinking and curious, with a passion for exploring and implementing new technologies, including AI, to enhance learning design and delivery.
• Communication and collaboration: Strong verbal and written communication skills, with the ability to collaborate effectively within a team and across departments.
• Agility and adaptability: Comfortable working in a fast-paced, changing environment with the ability to shift priorities, experiment, and respond to evolving business needs.

QUALIFICATION AND EXPERIENCE

Minimum qualifications:

• A relevant qualification in Human Resources, Education, Psychology, Organisational Development, Learning and Development, or related field.
• Formal training or certification in Instructional Design, Facilitation Adult Learning, or Learning & Development methodologies (e.g., 6Ds, ADDIE).

Preferred qualifications:

• Postgraduate qualification in Learning and Development, Organisational Psychology, or related field.
• Accreditation in coaching is advantageous.

Experience:

• Minimum of 5–7 years’ experience in a Learning and Development Specialist role.
• Proven track record of designing, developing and delivering leadership development and soft skills programmes across various levels in a large organisation.
• Proven track record in consulting with stakeholders and conducting learning needs analysis.
• Extensive experience designing, developing, and facilitating learning solutions across multiple formats (in-person, virtual, and digital).
• Strong experience in managing end-to-end learning or capability-building projects, including measurement of impact.
• Demonstrated success in contributing to strategic L&D initiatives within a complex business environment.
• Experience in working with or within financial services is advantageous.
• Experience using AI-driven tools to design and deliver learning experiences is strongly preferred.

EMPLOYMENT EQUITY

The Company’s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.

#J-18808-Ljbffr

Join to apply for the Learning & Development Specialist role at Discovery Limited

Join to apply for the Learning & Development Specialist role at Discovery Limited

KEY PURPOSE

The vacancy is for a

Discovery Institute of Training

Learning & Development Specialist

Sandton- Hybrid

Primary Function Of The Role

KEY PURPOSE

The vacancy is for a Learning and Development Specialist to join the Discovery Institute of Training. This role is responsible for designing, developing, delivering, and implementing impactful learning solutions that build capability across various roles and levels within Discovery. These include leadership development, core (soft) skills, and business performance support, using a mix of in-person facilitation, virtual training, and digital formats. In addition to design responsibilities, this role will also be accountable for the effective delivery and facilitation of training interventions across multiple modalities, ensuring meaningful learning experiences and driving behaviour change and performance improvement.

KEY OUTPUTS

• Learning needs analysis and stakeholder consultation: Conduct in-depth learning needs analyses in consultation with a wide range of stakeholders on all levels. Identify skills gaps, performance challenges, and capability needs across the organisation.
• Design, development, and delivery of learning solutions: Design, develop, and deliver high-impact learning interventions using a blended learning approach, including in-person facilitation, virtual training, and digital content, to support leadership development, core (soft) skills, and business performance.
• Training facilitation: Facilitate engaging, high-quality leadership development and core (soft) skills training sessions that drive behaviour change and performance outcomes. Ensure facilitation is tailored to the audience and aligned with business objectives.
• Learning project initiation and management: Initiate and manage custom learning and business support initiatives that align with business strategy and drive measurable impact. Propose and implement new tools, methodologies, and learning solutions that positively influence performance.
• Strategic contribution and innovation: Actively contribute to the strategic planning and continuous improvement of the Discovery Institute of Training. Use deep learning and development knowledge and experience to shape departmental direction, propose innovative solutions, and align team outputs with strategic business goals.
• Impact measurement and evaluation: Track, analyse, and report on the effectiveness and business impact of learning initiatives. Use data and feedback to continuously refine and improve learning solutions.
• Champion innovation and the effective use of AI and emerging technologies: Leverage AI and other emerging technologies to enhance the design, development, and delivery of learning solutions. Champion innovation by identifying and implementing new tools, platforms, and methodologies that improve learner engagement, efficiency, and impact. Act as a change agent within the team and organisation by promoting a culture of continuous improvement, experimentation, and future-focused thinking.
• Quality assurance and best practice implementation: Uphold best practices in adult learning, learning design methodologies (e.g., 6Ds, ADDIE), and performance consulting. Ensure learning content and facilitation consistently meet high-quality standards and compliance requirements.
  
  

COMPETENCIES

• Learning and development expertise: Deep understanding of adult learning principles, learning design methodologies (e.g., 6Ds, ADDIE), and best practices in training delivery and facilitation.
• Instructional design capability: Strong ability to design and develop engaging, outcomes-based learning experiences across various modalities (classroom, virtual, digital).
• Facilitation skills: Excellent facilitation and presentation skills, with the ability to engage diverse learners across roles and levels, both in-person and virtually.
• Stakeholder management: Strong interpersonal skills and the ability to consult, influence, and build trusted relationships with diverse internal stakeholders at all levels.
• Strategic thinking: Ability to align learning initiatives with business strategy, contribute to departmental planning, and identify opportunities for value creation.
• Project management: Demonstrated ability to manage complex projects, timelines, and cross-functional teams, ensuring successful implementation and measurable outcomes.
• Analytical and impact-driven: Skilled in evaluating learning effectiveness and using data to make informed decisions that drive continuous improvement and business performance.
• Innovation and technology savvy: Forward-thinking and curious, with a passion for exploring and implementing new technologies, including AI, to enhance learning design and delivery.
• Communication and collaboration: Strong verbal and written communication skills, with the ability to collaborate effectively within a team and across departments.
• Agility and adaptability: Comfortable working in a fast-paced, changing environment with the ability to shift priorities, experiment, and respond to evolving business needs.
  
  

Qualification And Experience

Minimum qualifications:

• A relevant qualification in Human Resources, Education, Psychology, Organisational Development, Learning and Development, or related field.
• Formal training or certification in Instructional Design, Facilitation Adult Learning, or Learning & Development methodologies (e.g., 6Ds, ADDIE).
  
  

Preferred Qualifications

• Postgraduate qualification in Learning and Development, Organisational Psychology, or related field.
• Accreditation in coaching is advantageous.
  
  

Experience

• Minimum of 5–7 years’ experience in a Learning and Development Specialist role.
• Proven track record of designing, developing and delivering leadership development and soft skills programmes across various levels in a large organisation.
• Proven track record in consulting with stakeholders and conducting learning needs analysis.
• Extensive experience designing, developing, and facilitating learning solutions across multiple formats (in-person, virtual, and digital).
• Strong experience in managing end-to-end learning or capability-building projects, including measurement of impact.
• Demonstrated success in contributing to strategic L&D initiatives within a complex business environment.
• Experience in working with or within financial services is advantageous.
• Experience using AI-driven tools to design and deliver learning experiences is strongly preferred.
  
  

EMPLOYMENT EQUITY

The Company’s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.

Seniority level

• Seniority level Associate

Employment type

• Employment type Full-time

Job function

• Job function Human Resources

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Learning & Development Specialist

Business Unit: Sales & Distribution

Date: 12 Aug 2025

Discovery Institute of Training

Learning & Development Specialist

Primary function of the role

KEY PURPOSE

The vacancy is for a Learning and Development Specialist to join the Discovery Institute of Training. This role is responsible for designing, developing, delivering, and implementing impactful learning solutions that build capability across various roles and levels within Discovery. These include leadership development, core (soft) skills, and business performance support, using a mix of in-person facilitation, virtual training, and digital formats. In addition to design responsibilities, this role will also be accountable for the effective delivery and facilitation of training interventions across multiple modalities, ensuring meaningful learning experiences and driving behaviour change and performance improvement.

KEY OUTPUTS

• Learning needs analysis and stakeholder consultation: Conduct in-depth learning needs analyses in consultation with a wide range of stakeholders on all levels. Identify skills gaps, performance challenges, and capability needs across the organisation.
• Design, development, and delivery of learning solutions: Design, develop, and deliver high-impact learning interventions using a blended learning approach, including in-person facilitation, virtual training, and digital content, to support leadership development, core (soft) skills, and business performance.
• Training facilitation: Facilitate engaging, high-quality leadership development and core (soft) skills training sessions that drive behaviour change and performance outcomes. Ensure facilitation is tailored to the audience and aligned with business objectives.
• Learning project initiation and management: Initiate and manage custom learning and business support initiatives that align with business strategy and drive measurable impact. Propose and implement new tools, methodologies, and learning solutions that positively influence performance.
• Strategic contribution and innovation: Actively contribute to the strategic planning and continuous improvement of the Discovery Institute of Training. Use deep learning and development knowledge and experience to shape departmental direction, propose innovative solutions, and align team outputs with strategic business goals.
• Impact measurement and evaluation: Track, analyse, and report on the effectiveness and business impact of learning initiatives. Use data and feedback to continuously refine and improve learning solutions.
• Champion innovation and the effective use of AI and emerging technologies: Leverage AI and other emerging technologies to enhance the design, development, and delivery of learning solutions. Champion innovation by identifying and implementing new tools, platforms, and methodologies that improve learner engagement, efficiency, and impact. Act as a change agent within the team and organisation by promoting a culture of continuous improvement, experimentation, and future-focused thinking.
• Quality assurance and best practice implementation: Uphold best practices in adult learning, learning design methodologies (e.g., 6Ds, ADDIE), and performance consulting. Ensure learning content and facilitation consistently meet high-quality standards and compliance requirements.

COMPETENCIES

• Learning and development expertise: Deep understanding of adult learning principles, learning design methodologies (e.g., 6Ds, ADDIE), and best practices in training delivery and facilitation.
• Instructional design capability: Strong ability to design and develop engaging, outcomes-based learning experiences across various modalities (classroom, virtual, digital).
• Facilitation skills: Excellent facilitation and presentation skills, with the ability to engage diverse learners across roles and levels, both in-person and virtually.
• Stakeholder management: Strong interpersonal skills and the ability to consult, influence, and build trusted relationships with diverse internal stakeholders at all levels.
• Strategic thinking: Ability to align learning initiatives with business strategy, contribute to departmental planning, and identify opportunities for value creation.
• Project management: Demonstrated ability to manage complex projects, timelines, and cross-functional teams, ensuring successful implementation and measurable outcomes.
• Analytical and impact-driven: Skilled in evaluating learning effectiveness and using data to make informed decisions that drive continuous improvement and business performance.
• Innovation and technology savvy: Forward-thinking and curious, with a passion for exploring and implementing new technologies, including AI, to enhance learning design and delivery.
• Communication and collaboration: Strong verbal and written communication skills, with the ability to collaborate effectively within a team and across departments.
• Agility and adaptability: Comfortable working in a fast-paced, changing environment with the ability to shift priorities, experiment, and respond to evolving business needs.

QUALIFICATION AND EXPERIENCE

• A relevant qualification in Human Resources, Education, Psychology, Organisational Development, Learning and Development, or related field.
• Formal training or certification in Instructional Design, Facilitation Adult Learning, or Learning & Development methodologies (e.g., 6Ds, ADDIE).

Preferred qualifications:

• Postgraduate qualification in Learning and Development, Organisational Psychology, or related field.
• Accreditation in coaching is advantageous.

Experience:

• Minimum of 5–7 years’ experience in a Learning and Development Specialist role.
• Proven track record of designing, developing and delivering leadership development and soft skills programmes across various levels in a large organisation.
• Proven track record in consulting with stakeholders and conducting learning needs analysis.
• Extensive experience designing, developing, and facilitating learning solutions across multiple formats (in-person, virtual, and digital).
• Strong experience in managing end-to-end learning or capability-building projects, including measurement of impact.
• Demonstrated success in contributing to strategic L&D initiatives within a complex business environment.
• Experience in working with or within financial services is advantageous.
• Experience using AI-driven tools to design and deliver learning experiences is strongly preferred.

EMPLOYMENT EQUITY

The Company’s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.

#J-18808-Ljbffr

Job Purpose:

• To ensure the delivery of occupationally directed education, training and development to the company  line managers and employees in order to improve the performance of individuals and
  effectiveness of the organisation. Reporting to Learning and Development Manager.

Minimum Requirements:

• Matric/ Grade 12
• National Diploma in Human Resource Management or relevant tertiary qualification in the Education, Training and Development field at NQF level 6
• Registered Skills Development Facilitator / Coach and Mentor / Assessor and Moderato
• 2+ years in a similar role 

Main Requirements:

HR Legislation:  

• Translate legislative changes into relevant HR Policies and Practices
• An in depth understanding of and to comply with the relevant HR Legislation (Labour Relations Act, Employment Equity Act, BBBEE Act, Skills Development Act, MIBCO Main Agreement etc.) 

Employment Equity:

• Participate in the implementation and utilisation of equity related processes

BBBEE: 

• Create an awareness of BBBEE within the Group
• Assist the Learning & Development Manager with the skills element within BBBEE

Training and Development: 

• Assist the line managers and facilitators in identifying employee training needs and problem solving around these issues
• Analyse the individual development plans of employees to understand the training and development requirements
• Discuss with external suppliers and facilitators on specific requirements of the learning and development intervention and source details, as defined in the training strategy, in order to meet organisational, departmental and individual development needs. (evaluate the programmes using accepted criteria)
• Schedule staff to attend internal and external learning events in accordance with the wider learning and development strategy
• Develop material for in-house training
• Ensure that appropriate resources are available, e.g. venue, equipment, course material, manpower, etc.
• Collate training information for audit purposes – BBBEE, ISO etc.
• Participate in audits and ensure recommendations are actioned
• Facilitate internal training interventions
• Gather information for learning communications i.e. noticeboards, newsletters etc.
• Collate learning and development evaluations to enable amendments to programmes
• Provide technical expertise on external industry committees and bodies

Administration: 

• Prepare learning and development materials to a consistently high standard and ensure that they reach the delegates/facilitators within agreed timescales
• Update the learning and development calendar

Workplace Assessments: 

• Administer, coordinate and maintain assessment records
• Coordinate Standards Based Assessments processes and conduct outcomes-based assessments

SETA Management: 

• Manage learners and learnerships through the SETA
• Co-ordinate and provide input into the Workplace Skills Plan to ensure accurate and timely submission
• Provide administrative support in the skills development levy claim process
• Perform programme planning, co-ordination and qualification development within the SETA framework

Reporting:

• Compile Training and Development monthly reports