976 Machine Learning Engineers jobs in South Africa
Postdoctral Research Fellowship – Deep Learning and Bioacoustics African Institute for Mathemat[...]
Posted 19 days ago
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Join AIMS South Africa, and work on deep learning for bioacoustics research! This is an in-person postdoc fellowship.
If you’re excited to help with animal conservation and use deep learning to achieve this, then you should apply!
AIMS South Africa in Cape Town, a few meters from the beach! ?
Application deadline: applications will be reviewed as they are received
Start date: immediate
A recent report issued by theWWF states that there has been a catastrophic decline in wildlife population in recent years. A large number of species are threatened with extinction due to a number of factors. Further conservation efforts are still urgently required to ensure the survival of the remaining individuals.
Fellowship OpportunityTheAfrican Institute for Mathematical Sciences (AIMS) andStellenbosch University are looking to appoint a post-doctoral fellow to work in the area of deep learning and bioacoustics. The fellow will work as part of a collaborative team of local and international researchers to address important conservation issues.
This fellowship aims at investigating deep learning models for passive acoustic monitoring of animal species. The data will primarily be acoustic data, however additional sources may be used to supplement the investigation. The fellow will research state-of-the-art techniques in deep learning and mathematics to address critical conservation problems. The fellow will develop software code for audio processing, and suitable deep neural networks, typically in TensorFlow or other libraries. Research outputs will be submitted to Q1 ranked international journals.
The fellow will work closely withDr. Emmanuel Dufourq and theMachine Learning for Ecology Research Group . The fellow will work at AIMS South Africa which is located in the beautiful city of Muizenberg, Cape Town, South Africa. AIMS is located just a few meters from Muizenberg beach! The fellow will also have the opportunity to travel to Rwanda and contribute to AIMS Rwanda.
Core Responsibilities- Participate fully in the project including research design, literature review, software and model implementation, data analysis, data annotation, writing manuscripts, and giving academic talks.
- Maintain research code in a GitHub repository and use current programming practices.
- Actively participate in research meetings and take initiative to grow the group’s collaborative network.
- Co-supervise students in the area of deep learning for wildlife monitoring.
- Assist the research group in research and academic tasks.
- 40 hours of research work per week.
- Ph.D. in a relevant mathematical science (e.g. computer science, mathematics, …).
- Strong experience in deep learning (TensorFlow, PyTorch,…) and Python programming.
- Clear evidence of completed deep learning projects in computer vision or audio tasks.
- Good mathematical and problem solving skills as the candidate will actively engage in this.
- A strong desire to apply machine learning to bioacoustics problems.
- Proven ability to publish in reputable peer-reviewed journals (Q1 or Q2 ranked, check ranking here).
- Strong communication skills (English written, oral, and presentation).
If you’re excited to help with animal conservation and use deep learning to achieve this, then you should apply! If you love to code and chat about research, then you’ll have a great time!
The award is compliant with the SARS rules for tax exemption and is tenable for two years, subject to submission of a satisfactory progress report and the availability of funds. Tax is not paid on this funding, and thus the candidate would have full access to the funds. Note that this is not a remote position, and the fellow will have to be present at AIMS South Africa for the duration of the fellowship. The fellow will be responsible for their living arrangements and visa application if needed. Candidates who are immediately able to come to Cape Town are encouraged to apply.
Start dateImmediately, in-person in Cape Town
Applications must include- A complete CV,
- Proof of Ph.D. completion,
- A covering letter detailing the candidate’s experience (especially in deep learning for computer vision or audio), availability to start, and explain your interest in machine learning for bioacoustics. Propose a tentative research project related to this call, and how you would address the research question. Cover letters should be aligned with the research group’s interest.
Send your application as a single PDF file to Only shortlisted candidates will be contacted for an online interview. Contact Dr. Emmanuel Dufourq ( ) for details regarding this position.
Women are strongly encouraged to apply. Applications will be reviewed as soon as they are received (first come first served basis).
DISCLAIMER: AIMS South Africa reserves the right to disqualify ineligible, incomplete and/or inappropriate applications. AIMS also reserves the right not to make an appointment to the position as advertised or to extend the deadline for applications.
#J-18808-LjbffrPostdoctral research fellowship – deep learning and bioacoustics african institute for mathemat[...]
Posted today
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Machine Learning Engineer
Posted 2 days ago
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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 InsureDiscovery 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 PurposeThis 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- 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.
#J-18808-LjbffrMachine learning engineer
Posted 4 days ago
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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.
Responsibilities:- Design, develop, and deploy machine learning models and algorithms that drive business growth and innovation
- Collaborate with data scientists to develop and implement machine learning models and algorithms
- Work with software engineers to integrate machine learning models and algorithms into production-ready software applications
- Develop and maintain large-scale machine learning systems, including data pipelines, model training, and model serving
- Optimize machine learning models and algorithms for performance, scalability, and reliability
- 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
- Collaborate with product managers to develop product roadmaps and prioritize features and requirements
- Develop and maintain relationships with key stakeholders, including business leaders, product managers, and engineering teams
- Communicate complex machine learning concepts and results to non-technical stakeholders, including business leaders and product managers
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field
- 3+ years of experience in machine learning, deep learning, or software engineering, with a focus on machine learning model development and deployment
- Strong background in machine learning, deep learning, and software engineering, with expertise in areas such as natural language processing, computer vision, or recommender systems
- Experience with machine learning frameworks and tools, such as TensorFlow, PyTorch, or Scikit-learn
- Strong programming skills in languages such as Python, Java, or C++
- Experience with cloud-based technologies, such as AWS or Google Cloud
- Strong understanding of software engineering principles, including design patterns, testing, and version control
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
Technical Skills:
- Machine learning frameworks: TensorFlow, PyTorch, Scikit-learn, etc.
- Deep learning frameworks: Keras, TensorFlow, PyTorch, etc.
- Cloud-based technologies: AWS, Google Cloud, Azure, etc.
Full time
Johannesburg
#J-18808-LjbffrMachine Learning Engineer
Posted 4 days ago
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Machine Learning EngineerBusiness 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.
#J-18808-LjbffrMachine Learning Engineer
Posted 19 days 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.
Job DescriptionThe 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.
What you will be working on- 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:
#J-18808-LjbffrMachine Learning Engineer
Posted today
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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.
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Machine Learning Engineer
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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.
Machine Learning Engineer
Posted today
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Job Description
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 »
Machine learning engineer
Posted today
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