54 Learning Specialist jobs in South Africa

Position outputs

This position is responsible for delivering and facilitating the technical course curriculums. This includes classroom instruction, field instruction, and administering assessments. This position is also involved in the creation and implementation of curriculums following the standards of Barloworld Equipment, Caterpillar and relevant regulatory bodies.

Learning Facilitation

• Facilitate learning interventions according to the Caterpillar prescribed quality levels.

• Conduct theoretical and practical training on technical systems and components as required by the curriculum.

• Assess learning as per the pre-defined processes.

• Coach and develop technical learners to the highest standard including standards set by OEMs (Caterpillar/Perkins etc.) and regulatory bodies such as merSETA/ MQA etc.

• Implement the checklists/quality controls as provided by the Learning Manager: Technical

• Conduct training at customer sites as required.

• Liaise with all relevant stakeholders to ensure the implementation of quality programmes/courses.

Evaluation and Support

• Manage and implement quality learning practices including but not limited to:

o Assessment of learning

o Course certification – ensure learners completed all requirements for certificates to be issued

o Recognise gaps in training and ensure alignment of programme outcomes with business requirements.

o Recommend improvements to the Learning Manager: Technical / Learning Specialist: Compliance.

Learning Management

• Complete and process training administration according to Learning Academy policy and procedures

• Ensure all materials for the classes are in place before classes commence (including tools booked for practicals, training materials are ready, etc.)

• Build and maintain positive and effective working relationships internally and externally (with business/functional leaders i.e. be a trusted advisor).

Qualification, Experience and Competencies

Minimum Required Qualification:

• Qualified in relevant trade (e.g. Diesel Mechanic / Heavy Earthmoving Mechanic) – "Red Seal"

• Caterpillar Certified (Advanced)

Minimum Required Experience:

• Four years post qualification experience in relevant industry

• Field Service experience

• Experience in Facilitation, Assessments, and Coaching will be an advantage

Minimum Required Competencies

• Caterpillar Product knowledge

• Verbal and written communication (including presentation) (L2)

• Problem Solving (L2)

• Mechanical Reasoning (L2)
• Drive, Energy and Initiative (L1)

• Teamwork (L2)
• Business and Financial Acumen (L1)
• Motivating Others (L1)
• Developing People(L2)
• Technical Competence (L2)
• Rule Orientation (1)
• Self-Management (including time management) (L1)
• Customer Responsiveness (L1)

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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 .

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

Overview

Mondi offers exciting careers in a workplace where digital and human ingenuity work together. We create innovative solutions with integrity, a passion for performance and care for our people and our world. If you have an entrepreneurial spirit, a passion to perform and are interested in the chance of working in different countries and cultures around the world you should consider becoming part of the Mondi Group.

• Support the Learning & Development Manager in analysing organizational training needs and researching industry trends
• Ensure best practice to guide the design of appropriate curricula and learning paths for the various talent segments
• Develop and ensure the effective delivery of relevant training programs to meet organizational objectives
• Identify and track key metrics to determine overall effectiveness of learning initiatives
• Manage and maintain e-learning content in our Learning Management System under the oversight of the Learning & Development Manager
• Support the Learning & Development Manager with information management data processing and analysis to enable accurate reporting and e-filing
• Support in the compilation administration and preparation for all related internal audits
• Track development plans and provide regular feedback on progress with relevant stakeholders
• Build and maintain collaborative working relationships with key stakeholders including the management of 3rd party vendors
• Act as an advisory custodian to all employees on People Development related policies and procedures

• Degree in Industrial Organization Psychology, Human Resources Management or related qualification
• 2 to 3 years of experience in Talent Management and Organizational Development or Human Resources experience
• Valid South African drivers license

Location: 380 Old Howick Road Hilton 3245

Duration: Permanent

Health benefits; Learning & Development

We strive to create a culture that inspires our people to reach their full potential. Going the extra mile - for colleagues and customers - our people drive our passion for performance and are the key ingredient of Mondi's success. Be part of our future.

Do you want to know more about Mondi? We are a global leader in packaging and paper contributing to a better world through innovative solutions that are sustainable by design. Our global team of 24,000 people works across 100 production sites in more than 30 countries.

Our strength lies in our diversity. We are dedicated to creating a team that reflects the diversity of the world we operate in. We believe in your potential and are committed to supporting you as you grow and learn at Mondi. If you need any accommodations during the recruitment process please reach out to the contact person listed above.

Only CVs uploaded onto our online career platform will be taken into consideration. With your application you will be redirected to our recruiting platform. After creating an account you will receive an activation link. If you do not find the email in your inbox please check your spam folder or add the address to your safe list or address book.

Appointments will be made in line with our Employment Equity Plan. The above advert has minimum requirements listed; however Management reserves the right to use additional / relevant information as criteria for shortlisting.

Awards: Unclear Seniority

Key Skills: Aerospace Engineering, Data Entry, Business Management, Flexcube, Contract

Employment Type: Full-Time

Experience: years

Vacancy: 1

Alorica City of Cape Town, Western Cape, South Africa

GET TO KNOW ALORICA

At Alorica, we only do one thing – make lives better, one interaction at a time. We’re a global leader in customer service and experience, serving the world’s biggest brands with tens of thousands of employees in hundreds of locations around the globe.

Job Summary

Performs responsible supervisory work educating, testing, and coaching new hires to a specified account using curricula and materials specialized to a particular account. Direct supervision is exercised over subordinate personnel.

job Responsibilities

• Conducts new hire, program revision and remedial training following instructional guides
• Evaluates trainee performance
• Provides written evaluations of employee performance to management as required
• Maintains positive, consistent communication with departments and corporate staff
• Reports on progress of assigned projects to Training Manager
• Maintains ongoing dialogue with department heads as needed
• Maintains accurate training records
  
  

• Perform other duties as assigned
  
  

• Possession of a High School Degree, GED or other equivalent education; Associates degree preferred
• Two (2) years’ experience in training and/or customer call center experience
  
  

• Demonstrated knowledge of adult learning techniques and best practices in training delivery
• Demonstrated knowledge of specific account provisions, products, and policies
• Ability to communicate effectively both orally and in writing
• Excellent listening skills
• Demonstrated proficiency of presentation skills
• A wide degree of creativity and latitude is expected
• Knowledge of Microsoft Word, Excel, and PowerPoint
  
  

• Ability to work in a fast paced, ever changing environment
  
  

• Some domestic travel
• Ability to stand while conducting training classes
• Ability to travel to centers to deliver training or to monitor, evaluate and coach team members
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Management and Manufacturing
• Industries IT Services and IT Consulting

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Overview

Discovery Institute of Training – Learning & Development Specialist – Sandton- Hybrid

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.

• 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.

• 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.

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.

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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.

Job Purpose

To ensure the delivery of occupationally directed education, training and development to KAP Automotive line managers and employees in order to improve the performance of individuals and effectiveness of the organisation.

• 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

• 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.)

• Participate in the implementation and utilisation of equity related processes.

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

• 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.

• 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.

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

• 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.

• Compile Training and Development monthly reports