957 Machine Learning jobs in South Africa

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.

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.

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.

• 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)

Education:

• 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)

Minimum Experience:

• 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)

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.

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

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Business Unit: Discovery Insure

Function: Actuarial Sciences

Date: 24 Sept 2025

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 to 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.

Skills and Knowledge:

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

Education and Experience

Education:

• 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)

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.

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:

• Design, implement, and optimize Generative AI solutions and RAG frameworks.
• Develop scalable data pipelines, perform ETL, and design dimensional models for optimal data storage.
• Deploy, monitor, and optimize AI models for performance, scalability, and cost efficiency.
• Collaborate with cross-functional teams to align solutions with business goals.
• Communicate complex AI concepts clearly to non-technical stakeholders.
• Stay ahead of the curve by researching and experimenting with new AI architectures and techniques.

• Education: Bachelors degree in Computer Science, Data Science, Machine Learning, or related field (Masters/PhD preferred).
• Experience: 3+ years in AI/ML, with at least 12 years specialising in Generative AI.
• Technical Skills:
  
  • Proficiency in Python, SQL, Pandas, NumPy.
  • Experience with deep learning frameworks (TensorFlow, PyTorch) and LLM tools (LangChain, Llama-Index).
  • Cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
  • Strong data engineering skills (ETL, pipeline design, data modelling).
  • Knowledge of MLOps practices for model versioning, monitoring, and retraining.
• Soft Skills: Proactive, curious, collaborative, and strong communicator.
• Preferred Certifications: AWS ML Specialty, GCP ML Engineer, Azure AI Engineer, or similar.

Apply By
We're on the lookout for energetic, self-motivated individuals who share our passion for service in the banking industry. To be part of the journey, follow the steps below:

• To see what life at Capitec is all about and complete a short assessment, please click here
• Once you have completed the above finalize your application by clicking apply below.

Join Us in Becoming the Best Bank in the World
We appoint energized and motivated people for their potential and continuously look for talented, driven individuals to help us innovate and evolve. That is why we focus on finding the right people for the right jobs. We love what we do because we focus on making a positive difference for our clients and employees. Our company DNA is built around talented and committed teams dedicated to build a brand that we are proud of and earns the trust of our clients.

Who We Are
We are a bank, but we're much more than that. We believe that banking is about enabling people to control their financial lives through banking that is simplified, accessible, affordable and delivered through personal experience. By helping our clients manage their financial lives better, we enable them to live better.

Why Choose Us
At Capitec, we offer our best by living up to our CEO values in every situation – we always put the Client first, act with Energy and take Ownership. And to support people in being their best, our Employee Value Proposition offers every value to all team members through cohesive teams, growth opportunities as well as employee benefits and savings. We make it a priority to ensure that each member of the Capitec team feels welcome, valued, focused, and has the opportunity to grow.

About This Role
As a Machine Learning Engineer at Capitec is pivotal in shaping and executing the bank's AI strategy. By collaborating with Data Scientists and Decision Scientists, you'll enhance their efficiency through the development, implementation, and support of platform improvements. Your contributions will be crucial in positioning Capitec to remain competitive in a rapidly evolving landscape where AI technologies are key strategic differentiators.

This role leverages your deep understanding of machine learning models, from concept to deployment, and expertise in modern software development best practices, big data processing frameworks, and cloud environments whilst sitting in the risk division of the business. You'll also be working extensively with Python, SQL, and advanced debugging techniques to ensure the delivery of scalable, robust, and production-ready predictive models

Our Ideal Candidate Has
Our ideal candidate has:

• 4+ years of experience in any engineering role
• Honors degree or higher in any field
• Python and SQL experience
• PySpark
• Big data frameworks – Hadoop/Kafka
• Github experience or Git

Ideal

• AWS experience

Competencies

• Simplify and make it easy
• Earn and extend trust
• Plan, deliver and raise the bar
• Curious and continuously learns
• Act, learn and adapt
• Inspire optimism and persistence
• Have courage, disagree and commit

Education

• Completed an Honors Degree or higher

If you are interested in being part of this dynamic team, on a mission to build the best bank in the world through unlocking the potential of its people, please apply. We would love to hear from you
Capitec is committed to diversity and, where feasible, all appointments will support the achievement of our employment equity goals

Capitec is committed to diversity, applications to this position will strictly be considered in support of our employment equity goals.

About talent match africa (tma)

talent match africa
is on a mission to unlock Africa's potential by connecting exceptional talent with organizations that are shaping the future. We don't just match skills to roles - we match people to possibilities. With a strong network across industries and a people-first approach, we help companies thrive while empowering professionals to build meaningful careers.

About this role

As a
Machine Learning Engineer
, you'll go beyond writing code to solving real-world problems with data. This role is about designing intelligent systems that learn and improve, tackling complex challenges that demand both creativity and technical depth. You'll thrive in collaboration, bringing ideas to life alongside a dynamic team.

What You'll Do

• Design, build, and deploy machine learning models and algorithms
• Develop scalable data pipelines for model training and inference
• Optimize models for performance and efficiency
• Collaborate with data scientists to bring research into production
• Monitor and maintain ML models in live environments
• Implement A/B testing frameworks to validate models
• Work with large-scale datasets and distributed computing systems
• Maintain and enhance existing ML systems

What We're Looking For

Required

• 3+ years of experience in machine learning and software development
• Proficiency in Python, R, or Scala
• Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
• Familiarity with cloud platforms (AWS, GCP, Azure)
• Strong understanding of statistics and mathematics
• Experience with version control and software engineering best practices

Preferred

• Exposure to MLOps tools and practices
• Knowledge of containerization (Docker, Kubernetes)
• Experience building real-time inference systems

Why tma?

At
talent match africa
, you're not just taking on a job, you're joining a movement. You'll work with innovative teams, get exposure to impactful projects, and be part of an ecosystem that's redefining how Africa connects to opportunities.

Apply now »

Date:
21 Aug 2025

Location:
Stellenbosch, ZA

Company:
Capitec Bank Ltd

Apply By
We're on the lookout for energetic, self-motivated individuals who share our passion for service in the banking industry. To be part of the journey, follow the steps below:

• To see what life at Capitec is all about and complete a short assessment, please click here
• Once you have completed the above finalize your application by clicking apply below.

Join Us in Becoming the Best Bank in the World

We appoint energized and motivated people for their potential and continuously look for talented, driven individuals to help us innovate and evolve. That is why we focus on finding the right people for the right jobs. We love what we do because we focus on making a positive difference for our clients and employees. Our company DNA is built around talented and committed teams dedicated to build a brand that we are proud of and earns the trust of our clients.

Who We Are
We are a bank, but we're much more than that. We believe that banking is about enabling people to control their financial lives through banking that is simplified, accessible, affordable and delivered through personal experience. By helping our clients manage their financial lives better, we enable them to live better.

Why Choose Us
At Capitec, we offer our best by living up to our CEO values in every situation – we always put the Client first, act with Energy and take Ownership. And to support people in being their best, our Employee Value Proposition offers every value to all team members through cohesive teams, growth opportunities as well as employee benefits and savings. We make it a priority to ensure that each member of the Capitec team feels welcome, valued, focused, and has the opportunity to grow.

About This Role
As a Machine Learning Engineer at Capitec is pivotal in shaping and executing the bank's AI strategy. By collaborating with Data Scientists and Decision Scientists, you'll enhance their efficiency through the development, implementation, and support of platform improvements. Your contributions will be crucial in positioning Capitec to remain competitive in a rapidly evolving landscape where AI technologies are key strategic differentiators.

This role leverages your deep understanding of machine learning models, from concept to deployment, and expertise in modern software development best practices, big data processing frameworks, and cloud environments whilst sitting in the risk division of the business. You'll also be working extensively with Python, SQL, and advanced debugging techniques to ensure the delivery of scalable, robust, and production-ready predictive models

Our Ideal Candidate Has
Our ideal candidate has:

• 4+ years of experience in any engineering role
• Honors degree or higher in any field
• Python and SQL experience
• PySpark
• Big data frameworks – Hadoop/Kafka
• Github experience or Git

Ideal

• AWS experience

Competencies

• Simplify and make it easy
• Earn and extend trust
• Plan, deliver and raise the bar
• Curious and continuously learns
• Act, learn and adapt
• Inspire optimism and persistence
• Have courage, disagree and commit

Education

• Completed an Honors Degree or higher

If you are interested in being part of this dynamic team, on a mission to build the best bank in the world through unlocking the potential of its people, please apply. We would love to hear from you
Capitec is committed to diversity and, where feasible, all appointments will support the achievement of our employment equity goals
Capitec is committed to diversity, applications to this position will strictly be considered in support of our employment equity goals.
Apply now »