193 E Learning jobs in South Africa

Job Title: Manager - Learning & Development
Location: Durban, South Africa (On-site)
Working Hours: Primarily South African business hours, with flexibility to work US hours when required.

About the Role
We are seeking a dynamic and experienced Learning & Development Manager to lead, design, and deliver our L&D programmes. This role will oversee the full training lifecycle—from needs analysis and content creation to facilitation and evaluation—ensuring our employees are equipped with the skills to excel. The successful candidate will work on-site in Durban and play a strategic role in shaping our organisational learning culture.

Key Responsibilities

• Lead the Learning & Development function, aligning training initiatives with business objectives.
• Design, develop, and implement leadership development programmes.
• Oversee the Learning Management System (LMS) and instructional design processes.
• Facilitate engaging training sessions for various levels of the organisation.
• Partner with stakeholders to identify skills gaps and recommend tailored solutions.
• Manage the evaluation of training programmes to ensure effectiveness and continuous improvement.
• Lead and mentor the L&D team, fostering innovation and professional growth.

Candidate Requirements

• Proven experience in Leadership Development .
• Proficiency in Learning Management Systems and Instructional Design .
• Strong skills in Training Facilitation and Instructional Delivery .
• Exceptional communication, presentation, and interpersonal skills.
• Minimum of 2 years in a management or Head of Department role within L&D.
• Ability to work on-site in Durban .

Join to apply for the Machine Learning Engineer role at Discovery Limited

Join to apply for the Machine Learning Engineer role at Discovery Limited

About Discovery

Discovery’s core purpose is to make people healthier and to enhance and protect their lives. We seek out and invest in exceptional individuals who understand and support our core purpose, and whose own values align with those of Discovery. Our fast-paced and dynamic environment enables smart, self-driven people to be their best. As global thought leaders, Discovery is passionate about innovating in order to not only achieve financial success, but to ignite positive and meaningful change within our society .

Discovery Insure

Machine Learning Engineer

About Discovery

Discovery’s core purpose is to make people healthier and to enhance and protect their lives. We seek out and invest in exceptional individuals who understand and support our core purpose, and whose own values align with those of Discovery. Our fast-paced and dynamic environment enables smart, self-driven people to be their best. As global thought leaders, Discovery is passionate about innovating in order to not only achieve financial success, but to ignite positive and meaningful change within our society .

About Discovery Insure

Discovery Insure is committed to creating a nation of great drivers through our innovative Shared-value Insurance model. Discovery Insure is South Africa’s fastest growing short-term insurance company with comprehensive products that provide protection against current and emerging risks facing clients in the motor and home insurance sectors. Vitality Drive, an internationally-recognised and award-winning programme, is a key differentiator in the market that incentivises and rewards clients for driving well. The Vitality Drive programme has been scaled to local and international markets which now include Europe and the Middle East. The company employs over 1 000 people who are committed to putting our customers and financial advisers first by providing unique and innovative solutions and cover.

Key Purpose

This ML Engineer is responsible for designing, building, managing, and continuously improving the operational processes that support the deployment and maintenance of actuarial, machine learning, and other decision-support models. The role involves end-to-end project planning, cross-functional collaboration with actuarial, data science, analytics, and business teams, and delivering insights into process efficiency across business areas. It also includes reporting on the design, progress, and performance of models and related business processes to drive operational excellence and informed decision-making.

Areas of responsibility may include but are not limited to

• Design and create implementation and testing processes for models in both a traditional and ML framework to ensure business decisions can be actioned quickly and effectively.
• Assist with the design and integration of traditional models and processes into cloud-based platforms like DataBricks to utilise additional functions and better performance.
• Responsible for deploying rating and logic engines using proprietary software, ensuring accurate implementation and seamless integration into production environments.
• Project planning and collaboration with actuarial, data science, underwriting, operational and system teams to ensure a smooth implementation process that reduces risks and achieves the required outcomes.
• Frequent monitoring and reporting on the progress and performance of existing models and processes, as well as presenting the design for new processes to upper management.
• Creation of automated processes and reports to reduce manual intervention and flag any areas of concern as they arise.
• Assessment of the efficiency and effectiveness of business processes through data analytics to identify any areas for improvement or cost savings.
• Implementation of pricing changes in existing models on a frequent basis, to ensure that changes in our pricing structure and strategies can be quickly actioned.
• Creation of new tools and processes that can be used to reduce manual intervention and turnaround time of our client support teams.
  
  

• Modelling skills preferred (Basic)
• Programming Skills: SQL, Python (Intermediate)
• Microsoft Office (Excel, PowerPoint and Word) (Advanced)
  
  

• Matric (Essential)
• Honours degree in Actuarial Science and/or Mathematical Statistics/ Computer Science or Data Science (Essential)
• Min 3-5 completed CT subjects if Actuarial Degree (Advantageous)
  
  

• At least 1-3 years’ experience within a data driven industry
• Experience with Databricks
• Experience with Azure ML solutions
• Experience with WTW Software (e.g., Radar Live) (advantageous)
  
  

• Seniority level Associate

• Employment type Full-time

• Job function Engineering and Information Technology

Referrals increase your chances of interviewing at Discovery Limited by 2x

Sandton, Gauteng, South Africa 7 hours ago

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Melio is seeking a passionate Machine Learning Engineer to join our expanding team:

• Level: Junior or Intermediate
• Position: Full time
• Salary: Based on technical experience

As a fast-paced start-up, our day-to-day is never the same. We look for candidates who love to take up new challenges and have the flexibility to go above-and-beyond the call of duty.

That being said, this specific role is for a team member to work in the Machine Learning AI team as a Machine Learning Engineer.

The candidate will be working with clients on projects focused on delivering reliable data-powered software applications to production. The primary focus of the role includes designing and implementing data pipelines, building models (machine learning or not), and deploying models.

Melio believes in nurturing cross-functional capabilities in our team, so you will need to work closely with other technical roles, such as BI specialists, data scientists, DevOps engineers and other data and machine learning engineers either to observe or to assist.

This is a technical role, but due to the consulting nature of many of our projects, the candidate needs to be able to communicate effectively with both business and technical stakeholders.

The list below is for both machine learning engineer and data engineer, but we are not expecting you to perform as both an ML engineer and a data engineer. The idea is you should be sufficiently comfortable with either role to be aware and able to communicate and learn from your colleagues.

• Fluent with the following languages: Python, Spark, PySpark, SQL.
• Strong analytical skills and passion for solving data problems.
• Strong communications skills and comfortable presenting your own thoughts to technical and business stakeholders.
• Familiar with building training and inference pipelines for ML projects.
• Familiar with fundamental machine learning theory and building, tuning, selecting models.
• Familiar with MLOps principals.
• Some experience with at least one Cloud provider.
• Some experience working with test automation and tools.
• Implement and test data engineering and machine learning software.
• Build and test data engineering and machine learning pipelines for data analytics or machine learning solutions.
• Collaborate and share technical knowledge with team members and co-workers.
• Follow all best practices and procedures as established by the client or industry.
• Document designed solutions and implemented tools.
• Brainstorm new solutions to improve data and ML software development and deployment.
• Basic understanding of the cloud-native ecosystem and desire to learn and grow in this environment.

• Assist with setting up CI (Continuous Integration) and CD (Continuous Delivery) tools with the team.
• Monitor data/model metrics, and develop ways to improve application development and deployment.
• Maintain day-to-day management and administration of projects.

• Bachelor’s degree in Computer Science, Engineering, Software Engineering, Applied Mathematics, Statistics, or related field.
• 2+ years experience working with data science and data engineering. Previous experience with software development (e.g. Python, Java, Go).

Desired Skills

• Contribute and/or passionate about open source projects.
• Masters/PhD in Data Science, Machine Learning or AI.
• AWS certifications (or any other cloud).
• Interested in learning more about Cloud Native Computing Foundation technologies.

• Up-to-date on latest industry trends; able to articulate trends clearly and confidently.
• Able to interact with other team members via code and design documents.
• Good interpersonal skills and communication with all levels of management.
• Able to multitask, prioritize, and manage time efficiently.
• Curious and eager to learn about new technologies.
• Strong in critical thinking and problem-solving.

If you are interested in this position please email Merelda ( ) with the below information:

• Participate in stakeholder meetings and work with senior colleagues to analyse business problems, clarify requirements and define the scope of the resolution needed.
• Collaborate within a cross-functional team of Data Scientists, Engineers and Analysts in order to understand project goals, and build, implement and scale-up algorithms for measurable impact.
• Display basic understanding of ANN's, CNN's, RNN's, autoencoders, fundamental data science concepts (linear and logistic regression, SVM's, dimensionality reduction), decision trees, gradient boosting, ensemble models, etc. to develop machine learning models.
• Work with above architectures within deep learning frameworks such as Keras and TensorFlow.
• Demonstrate foundational understanding of relevant applications and/or systems (including, but not limited to, the machine learning algorithms) being created.
• Build basic algorithms based on statistical modelling procedures and build and maintain machine learning solutions in production.
• Use data modelling and evaluation strategy to find patterns and predict unseen instances.
• Train models on large-scale data and fine tune hyper-parameters.
• Research appropriate machine learning algorithms and tools and work with senior colleagues to select the correct libraries, programming languages and frameworks for each task.
• Apply understanding of theoretical frameworks in computer science fundamentals, including data structures, algorithms, computability, complexity and computer architecture.
• Keep abreast of technological developments in the field, and integrate the latest data technologies into existing requirements.
• Follow best practices and standards of machine learning operations (MLOps) workflows for data preparation, deployment, monitoring and retraining to enable agile application methods to projects, and support machine learning models and data sets within a CI/CD process.
  
  

• Bachelor’s Degree or Diploma in Data Science, Computer Science, Information Technology, Information Systems or a related field – (essential).
• +2 years’ experience as a Data Scientist or ML Engineer (preferred) working with machine learning frameworks, models, or systems with strong mathematical and statistical experience skills - (essential).
• Exposure to common machine learning, data, math and visualisation libraries (i.e. Pandas, pyTorch, SciPy, NumPy, Scikit-Learn etc.) - (essential).
• Exposure to developing Machine Learning & NLP solutions over opensource platforms such as (TensorFlow, SparkML, OpenCV, pyTorch, etc.) - (essential).
• Exposure to different coding environments (local, notebooks, containers) and software engineering workflows (testing, code management/Git) - (essential).
• Proficiency in MS Office 365 with well-developed Excel skills – (essential).
• Understanding of relational databases as SQL, MySQL, etc. - (essential)
• Familiarity with a cloud environment (at least one of the following - AWS, Azure, GCP) and containerised environment (Mesos, Kubernetes, Docker) and CI/CD (Jenkins, AWS Code Pipelines) - (desirable)
• Experience in a retail, commercial or IT environment – (desirable).
  
  

We are looking for a talented Machine Learning Engineer to join our team, responsible for developing and deploying machine learning models and algorithms that drive business growth and innovation. The successful candidate will have a strong background in machine learning, deep learning, and software engineering, with a proven track record of delivering high-quality machine learning models and algorithms. The Machine Learning Engineer will work closely with cross-functional teams, including data science, product, and engineering, to identify opportunities for machine learning-driven innovation and develop strategic plans to execute on these opportunities.

1. Design, develop, and deploy machine learning models and algorithms that drive business growth and innovation
2. Collaborate with data scientists to develop and implement machine learning models and algorithms
3. Work with software engineers to integrate machine learning models and algorithms into production-ready software applications
4. Develop and maintain large-scale machine learning systems, including data pipelines, model training, and model serving
5. Optimize machine learning models and algorithms for performance, scalability, and reliability
6. Stay up-to-date with the latest advancements in machine learning, deep learning, and AI, applying this knowledge to drive innovation and improvement in machine learning models and algorithms
7. Collaborate with product managers to develop product roadmaps and prioritize features and requirements
8. Develop and maintain relationships with key stakeholders, including business leaders, product managers, and engineering teams
9. Communicate complex machine learning concepts and results to non-technical stakeholders, including business leaders and product managers

1. Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field
2. 3+ years of experience in machine learning, deep learning, or software engineering, with a focus on machine learning model development and deployment
3. Strong background in machine learning, deep learning, and software engineering, with expertise in areas such as natural language processing, computer vision, or recommender systems
4. Experience with machine learning frameworks and tools, such as TensorFlow, PyTorch, or Scikit-learn
5. Strong programming skills in languages such as Python, Java, or C++
6. Experience with cloud-based technologies, such as AWS or Google Cloud
7. Strong understanding of software engineering principles, including design patterns, testing, and version control
8. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams

Technical Skills:

1. Machine learning frameworks: TensorFlow, PyTorch, Scikit-learn, etc.
2. Deep learning frameworks: Keras, TensorFlow, PyTorch, etc.
3. Cloud-based technologies: AWS, Google Cloud, Azure, etc.

Full time

Johannesburg

Tracker requires the expertise of an experienced Head: Learning and Development to manage the Learning and Development portfolio, focusing on strategic people development, leadership and talent management, as well as change and culture. This individual will be responsible for defining, developing, implementing, and managing a fit-for-purpose learning and development strategy, driving continuous learning and knowledge sharing across the value chain. Reporting to the Executive: Human Capital, the successful candidate will ensure the integration and efficiency of processes and programs within the company, while measuring the success of implemented learning initiatives.

L&D Strategy and Leadership

• Lead the development, and implementation of an L&D strategy that aligns with business objectives, fosters continuous improvement, and integrates talent development priorities into Tracker’s broader strategic goals.
• Drive the development of the Tracker Learning Academy to create a structured pipeline for leadership and talent development, ensuring future leaders are identified, nurtured, and learning is integrated into career progression and daily operations.
• Oversee the development and implementation of digital learning initiatives to provide scalable, flexible, and accessible learning opportunities for employees at all levels.
• Identify, assess, and address the training and skills development needs of the organisation, with a focus on leadership development to support succession planning and talent retention.
• Serve as a member of the OPCO, sharing oversight on operational activities, contributing to tactical planning, ensuring L&D strategies align with business goals, integrate into broader operations, and support business performance and organisational transformation through talent development priorities.
• Manage and develop a team of Learning Specialists, ensuring they are equipped with the skills and resources to effectively support the L&D strategy and contribute to business impact.

Cultural Transformation and Change

• Drive cultural transformation and change initiatives through L&D programs, ensuring alignment with organisational goals and supporting committees such as the Transformation Committee and EETSCom.
• Champion a culture of continuous learning and innovation, ensuring employees have the tools and resources to stay ahead of industry trends and evolving business needs. Introduce various learning initiatives to improve employee effectiveness.

Training Administration

• Manage the training and development budget, developing an annual forecast based on talent development requirements and tracking expenditures to ensure efficiency.
• Compile training and development progress reports, providing regular updates on training effectiveness, and impact on business outcomes.
• Establish and maintain a trainee database for the company, ensuring accurate records of training participation and progress.
• Work with the Skills Development Facilitator to manage learnerships and graduate programs, ensuring these initiatives are aligned with business needs and objectives.

Performance Measurement and ROI

• Regularly measure the effectiveness of L&D initiatives, analysing ROI and aligning training outcomes with business performance metrics to demonstrate tangible results and impact.
• Add value to the organisation and contribute to improving profit margins through training return on investment (ROI), establishing a more systematic approach to talent development, and ensuring that training initiatives are directly aligned with business needs and performance.

Compliance and Regulatory Requirements

• Ensure sustainable relationships with relevant SETAs, including partnerships on special Skills Development Programmes and updated QMS. Ensure Skills Development/SETA compliance through Workplace Skills Plans (WSP).
• Responsible for complying with applicable legislation, policies, standards, and laid-down procedures (statutory and regulatory requirements). This includes developing, implementing, and monitoring the WSP in line with legislative requirements.
• Manage the Socio-Economic Development (SED) pillar in partnership with the SED Facilitator to ensure alignment with broader community engagement goals, support talent development across sectors, and contribute to fulfilling corporate social responsibility (CSR) commitments.

Collaboration and Stakeholder Management

• Develop and maintain strong relationships with key internal stakeholders, including senior leadership, department heads, and HR teams, to ensure L&D initiatives align with business objectives and support talent development needs.
• Maintain advisory/consultative relationships with subject matter experts and department heads to ensure that L&D programs remain relevant, effective, and aligned with business goals.
• Build and sustain partnerships with external stakeholders such as SETAs, industry associations, training providers, and educational institutions to enhance learning opportunities, stay current with industry trends, and ensure compliance with Skills Development and other regulatory requirements.

Minimum Qualifications

• An honors degree or equivalent qualification in HR Management or similar.
• A post-graduate qualification such as MBA, SMP or MAP or at least 3-5 years in HRD at a senior level preferred.
• 5-8 years Previous Training and Development management experience and exposure at EXCO level.
• ETDP (with at least a facilitator and assessors qualification) and/or SDF background.
• A good balance of strategy and hands-on experience in all people development aspects.
• Ability to effectively communicate at all levels.
• Previous experience working with SETA's.
• Outstanding needs analysis, positioning, Training and Development justification skills.
• Superior presentation and excellent oral and written communication skills.
• Prior experience with e-learning systems.
• Ability to successfully lead and motivate a team.
• Excellent understanding of learning and development systems/programmes.
• Ability to work under pressure.
• Good problem-solving and decision-making skills.
• Professional and positive attitude at all times and to lead by example.

Sandton, South Africa | Posted on 08/28/2024

MUSE  is a consulting company, specialising in resourcing, recruitment and outsourcing of software development teams.

MUSE was founded and is run by experienced developers who are passionate about technology and innovation. We have a vision to be the best in the industry and to provide software development skills that are cutting-edge and high-quality.

We work with some of the leading companies in South Africa and we help them build software products and solutions that are game-changing and future-oriented. We are also at the forefront of applying AI, AR and Machine-Learning concepts to real-world problems.

Our main goal is to help our clients get the most value from their technology investments. We do this by understanding their needs and providing them with the best talent available. We aim to be a vital part of the SDLC.

Are you a talented and enthusiastic Machine Learning Engineer looking for an exciting opportunity? Join our Machine Learning Operations team and be at the forefront of designing, building, testing, deploying, and monitoring cutting-edge machine learning and analytics applications. This role offers the chance to work with state-of-the-art technologies and contribute to the automation of machine learning and AI use cases. Collaborate with data scientists, actuaries, data engineers, and other software engineers to help architect our bank’s modern Machine Learning ecosystem.

Machine Learning Automation and Software Engineering:

• Design, build, and deploy machine learning and analytics automation processes.
  
• Refactor existing code bases to enhance efficiency, robustness, scalability, and automation of machine learning workflows.
  

Cloud-Native Development:

• Utilize Databricks and Azure for data engineering and machine learning use cases.
  
• Leverage Azure services such as Azure Functions, CosmosDB, API Gateway, and Azure Machine Learning to build intelligent data applications.
  

DevOps and Software Engineering:

• Build CI/CD pipelines to improve development and deployment practices.
  
• Develop robust testing and monitoring capabilities for machine learning and AI use cases.
  
• Experience with Git, Jenkins, Azure DevOps, and Terraform is advantageous.
  
• Build APIs to serve machine learning models.
  
• Apply software engineering best practices to develop robust, scalable, and maintainable code.
  
• Create microservice applications using Docker and container orchestration tools like OpenShift.
  
• Collaborate with cross-functional teams to deliver high-quality software solutions for machine learning and data use cases.
  
• Create and maintain documentation of processes, technologies, and code bases.
  
• Familiarity with MLFlow, PyTorch, TensorFlow, etc., is beneficial for the productionization of machine learning use cases.
  
• Work closely with data scientists, actuaries, data engineers, and other software engineers to understand and address their data needs.
  
• Contribute actively to the architecting of our bank’s modern Machine Learning data ecosystem.
  

• 1-3 years of experience as a Software Engineer.
  
• Bachelor’s degree in engineering or a related field. Other qualifications will be considered if accompanied by sufficient experience in software engineering.
  

• 2 years of experience using Python and SQL.
  
• Exposure to Linux shell scripting is advantageous.
  
• Experience with Spark is advantageous.
  
• Interest in software architecture.
  
• Knowledge of cloud compute services.
  
• Familiarity with serverless computing and cloud-native development.
  
• Keen interest in systems design and software architecture.
  
• Knowledge of machine learning frameworks/packages (e.g., MLFlow, Spark ML, Sklearn).
  
• Understanding of CI/CD concepts and API development, with implementation experience being advantageous.
  
• Strong critical thinking, problem-solving, and collaboration skills.
  
• Ability to collaborate with cross-functional tech teams as well as business/product teams.
  
• Commitment to excellence and high-quality delivery.
  
• Passion for personal development and growth, with a high learning potential.
  

If you’re passionate about machine learning and eager to work in a dynamic and innovative environment, we’d love to hear from you! Apply now and be part of our journey to revolutionize the banking industry with cutting-edge AI and machine learning solutions.

Who We Are Is What We Do. Deel and our family of growing companies are made up of global teams dedicated to helping businesses hire anyone, anywhere, easily.

The team comprises over three thousand self-driven individuals spanning over 100 countries, and our unified yet diverse culture keeps us continually learning and innovating the platform and products for customers.

Companies should be able to hire the best talent anywhere in the world, so we are building the best platform to make that a reality. Our market-leading technology, expertise, and global team are crucial to the platform’s success. We deliver the best products and features in our space, enabling millions of jobs worldwide and connecting the global workforce with the best companies and opportunities.

Why should you be part of our success story?

A 30-mile hiring radius should no longer dictate how companies hire because exceptional talent lives everywhere. Deel sees a world without hiring borders and endless talent that pairs perfect candidates with great companies.

We offer global teams all the tools they need to hire, onboard, manage, pay, and scale at full speed. We aim to foster a diverse global economy by building a generational platform that seamlessly connects companies with talent worldwide.

After our successful Series D in 2021, we raised another $50M in 2023, doubling our valuation to $12B. There’s never been a more exciting time to join Deel — the international payroll and compliance market leader.

Assignment: Learning Design for Deel’s Leadership Academy

Contract Period: June 1st, 2024 – December 1st, 2024

Scope: Deliver comprehensive, multi-modal learning resources in collaboration with the People Development Partners, to support the creation, launch and iteration of Deel’s Leadership Academy within H2 2024.

Contract Deliverables:

• Develop interactive e-learning modules (using Articulate) and associated or stand-alone assets including but not limited to animations, videos, quizzes, and case studies on topics related to the Leadership Academy programs.
• In partnership with People Development Partners, design visually engaging live leadership workshops plus custom-designed facilitator guides and participant workbooks.
• Create visually engaging job aids, infographics, and one-pagers summarizing key leadership models, frameworks, and best practices for quick reference and reinforcement.
• Support with the creation of ‘marketing’ content for the Leadership Academy, including the design of promotional materials such as videos, slide decks and other visual assets.

Total Rewards

Our workforce deserves fair and competitive pay that meets them where they are. With scalable benefits, rewards, and perks, our total rewards programs reflect our commitment to inclusivity and access for all.

Some things you’ll enjoy

• Provided computer equipment tailored to your role
• Stock grant opportunities dependent on your role, employment status and location
• Additional perks and benefits based on your employment status and country
• The flexibility of remote work, including WeWork access where available

At Deel, we’re an equal-opportunity employer that values diversity and positively encourages applications from suitably qualified and eligible candidates regardless of race, religion, sex, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, pregnancy or maternity or other applicable legally protected characteristics.

Position: Freelance Learning Manager

Location: South Africa

About LRN:

LRN is the world’s leading dedicated ethics and compliance SaaS company, helping more than 30 million people every year navigate complex regional and global regulatory environments and build ethical, responsible cultures. With over 3,000 clients across the US, EMEA, APAC, and Latin America—including some of the world’s most respected and successful brands—we’re proud to be the long-term partner trusted to reduce organizational risk and drive principled performance.

Named one of Inc Magazine’s 5000 Fastest-Growing Companies, LRN is redefining how organizations turn values into action. Our state-of-the-art platform combines intuitive design, mobile accessibility, robust analytics, and industry benchmarking—enabling organizations to create, manage, deliver, and audit ethics and compliance programs with confidence. Backed by a unique blend of technology, education, and expert advisement, LRN helps companies turn their values into real-world behaviors and leadership practices that deliver lasting competitive advantage.

About the role:

As our Freelance Learning Manager, you will be supporting our internal teams designing training solutions for our clients, who are represented by some of the largest brands in the world. You will meet with the client, either virtually or in person, visiting them at their offices to find out their business needs. You will attend a Design Workshop where you will deliver exciting ideas that will have the greatest impact on the learners. This could be a 20-minute e-learning course, an interactive workbook, a game, an animated sequence, an acted drama – or a combination of ALL these things. You will guide a team of Graphic Designers, Programmers, and Instructional Designers through the project to ensure that our training solution is creative, captivating, and modern and will create a measurable change in the organization.

What you'll do:

• Leads Instructional Designers and subject matter experts across the content team to develop e-learning course content.
• Responsible for analysing, designing, developing, implementing, and evaluating online learning.
• Support solutions based on the client requirements using different digital media appropriate to their needs.
• Working with Instructional Designers on instructional, graphic and assessment design across multiple learning project workflows simultaneously, within stipulated standards, resources, and deadlines.
• Responsible for delivering innovative creative ideas which will help in design and implementation.
• Leads the team of Instructional Designers to ensure greater team coordination.
• Responsible for a strong versatile creative writing skills and guides the team to write for e-learning, animations, drama, and printed materials.
• Develop templates, organise, manage and repurpose course content files (audio, video, SCORM), schedule periodic course reviews, and track documentation and version control in order to manage content creation and the effective organisation of digital and digitised information.
• Responsible to run a creative meeting and keep it on-track.
• Responsible for multiple delivery methods (HTML5, Storyline, Articulate Rise, PDF, Word, PPT.)

What we're looking for:

• A minimum of 4 years' experience in Instructional Design
• BA (Bachelor of Arts) or equivalent experience
• Experience of Creative Writing
• Has strong views about how best to communicate information to a diverse audience.
• Has an eye for good visual design (you do not need Photoshop skills)

• Competitive hourly fee rates

LRN is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.