644 Machine Learning Manager 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 .

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.

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)

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.

Overview

Let's build the future together!

Ikue is a tech start-up with a clear purpose and vision - to provide telecommunications operators with a superior product to deliver superior customer experiences.

We know that customer data is at the heart of hyper personalisation and are looking for the brightest, most inspiring engineers to deliver our product which enables data to drive every decision, every communication, and every customer interaction.

We are building a diverse team, all unified by a desire to unleash the data needed by marketeers. Creativity is at the core of Ikue and is something we are looking to further strengthen. There are no typical profiles, each and every team member shares our vision and wants to be part of its success.

• Design and construct Ikue's AI Studio in collaboration with Product owners and Data Scientists
• Design and build machine learning pipelines (model build, evaluation, deploy, monitoring)
• Integrate machine learning outputs into real-time and batch data pipelines
• Ensure machine learning and data pipelines are monitored, reliable and supportable (including expert support when required)

• You will become part of an international environment that embraces diversity and professionalism
• A dynamic and motivated team, with a good sense of humour
• Freedom to take responsibility, grow within the team and ALSO
• Working in a fast-forward company
• Remote work model

• BSc Computer Science or Engineering
• 3+ years working experience as a Machine Learning Engineer
• Advanced skills developing in Python, Spark, SQL
• Experience deploying and maintaining common machine learning models (e.g., binary classification, regression, clustering) in the cloud (AWS ECS andSagemaker preferable)
• AWS Associate Developer certification (Machine Learning Specialty preferable)
• Excellent problem solving and analytical skills
• Strong communication and collaboration abilities

Overview

Let's build the future together!

Ikue is a tech start-up with a clear purpose and vision - to provide telecommunications operators with a superior product to deliver superior customer experiences.

We know that customer data is at the heart of hyper personalisation and are looking for the brightest, most inspiring engineers to deliver our product which enables data to drive every decision, every communication, and every customer interaction.

We are building a diverse team, all unified by a desire to unleash the data needed by marketeers. Creativity is at the core of Ikue and is something we are looking to further strengthen. There are no typical profiles, each and every team member shares our vision and wants to be part of its success.

• Design and construct Ikue's AI Studio in collaboration with Product owners and Data Scientists
• Design and build machine learning pipelines (model build, evaluation, deploy, monitoring)
• Integrate machine learning outputs into real-time and batch data pipelines
• Ensure machine learning and data pipelines are monitored, reliable and supportable (including expert support when required)

• You will become part of an international environment that embraces diversity and professionalism
• A dynamic and motivated team, with a good sense of humour
• Freedom to take responsibility, grow within the team and ALSO
• Working in a fast-forward company
• Remote work model

• BSc Computer Science or Engineering
• 3+ years working experience as a Machine Learning Engineer
• Advanced skills developing in Python, Spark, SQL
• Experience deploying and maintaining common machine learning models (e.g., binary classification, regression, clustering) in the cloud (AWS ECS andSagemaker preferable)
• AWS Associate Developer certification (Machine Learning Specialty preferable)
• Excellent problem solving and analytical skills
• Strong communication and collaboration abilities

Overview

Let's build the future together!

Ikue is a tech start-up with a clear purpose and vision - to provide telecommunications operators with a superior product to deliver superior customer experiences.

We know that customer data is at the heart of hyper personalisation and are looking for the brightest, most inspiring engineers to deliver our product which enables data to drive every decision, every communication, and every customer interaction.

We are building a diverse team, all unified by a desire to unleash the data needed by marketeers. Creativity is at the core of Ikue and is something we are looking to further strengthen. There are no typical profiles, each and every team member shares our vision and wants to be part of its success.

• Design and construct Ikue's AI Studio in collaboration with Product owners and Data Scientists
• Design and build machine learning pipelines (model build, evaluation, deploy, monitoring)
• Integrate machine learning outputs into real-time and batch data pipelines
• Ensure machine learning and data pipelines are monitored, reliable and supportable (including expert support when required)

• You will become part of an international environment that embraces diversity and professionalism
• A dynamic and motivated team, with a good sense of humour
• Freedom to take responsibility, grow within the team and ALSO
• Working in a fast-forward company
• Remote work model

• BSc Computer Science or Engineering
• 3+ years working experience as a Machine Learning Engineer
• Advanced skills developing in Python, Spark, SQL
• Experience deploying and maintaining common machine learning models (e.g., binary classification, regression, clustering) in the cloud (AWS ECS andSagemaker preferable)
• AWS Associate Developer certification (Machine Learning Specialty preferable)
• Excellent problem solving and analytical skills
• Strong communication and collaboration abilities

Overview

Let's build the future together!

Ikue is a tech start-up with a clear purpose and vision - to provide telecommunications operators with a superior product to deliver superior customer experiences.

We know that customer data is at the heart of hyper personalisation and are looking for the brightest, most inspiring engineers to deliver our product which enables data to drive every decision, every communication, and every customer interaction.

We are building a diverse team, all unified by a desire to unleash the data needed by marketeers. Creativity is at the core of Ikue and is something we are looking to further strengthen. There are no typical profiles, each and every team member shares our vision and wants to be part of its success.

• Design and construct Ikue's AI Studio in collaboration with Product owners and Data Scientists
• Design and build machine learning pipelines (model build, evaluation, deploy, monitoring)
• Integrate machine learning outputs into real-time and batch data pipelines
• Ensure machine learning and data pipelines are monitored, reliable and supportable (including expert support when required)

• You will become part of an international environment that embraces diversity and professionalism
• A dynamic and motivated team, with a good sense of humour
• Freedom to take responsibility, grow within the team and ALSO
• Working in a fast-forward company
• Remote work model

• BSc Computer Science or Engineering
• 3+ years working experience as a Machine Learning Engineer
• Advanced skills developing in Python, Spark, SQL
• Experience deploying and maintaining common machine learning models (e.g., binary classification, regression, clustering) in the cloud (AWS ECS andSagemaker preferable)
• AWS Associate Developer certification (Machine Learning Specialty preferable)
• Excellent problem solving and analytical skills
• Strong communication and collaboration abilities

Overview

Let's build the future together!

Ikue is a tech start-up with a clear purpose and vision - to provide telecommunications operators with a superior product to deliver superior customer experiences.

We know that customer data is at the heart of hyper personalisation and are looking for the brightest, most inspiring engineers to deliver our product which enables data to drive every decision, every communication, and every customer interaction.

We are building a diverse team, all unified by a desire to unleash the data needed by marketeers. Creativity is at the core of Ikue and is something we are looking to further strengthen. There are no typical profiles, each and every team member shares our vision and wants to be part of its success.

• Design and construct Ikue's AI Studio in collaboration with Product owners and Data Scientists
• Design and build machine learning pipelines (model build, evaluation, deploy, monitoring)
• Integrate machine learning outputs into real-time and batch data pipelines
• Ensure machine learning and data pipelines are monitored, reliable and supportable (including expert support when required)

• You will become part of an international environment that embraces diversity and professionalism
• A dynamic and motivated team, with a good sense of humour
• Freedom to take responsibility, grow within the team and ALSO
• Working in a fast-forward company
• Remote work model

• BSc Computer Science or Engineering
• 3+ years working experience as a Machine Learning Engineer
• Advanced skills developing in Python, Spark, SQL
• Experience deploying and maintaining common machine learning models (e.g., binary classification, regression, clustering) in the cloud (AWS ECS andSagemaker preferable)
• AWS Associate Developer certification (Machine Learning Specialty preferable)
• Excellent problem solving and analytical skills
• Strong communication and collaboration abilities

Overview

Let's build the future together!

Ikue is a tech start-up with a clear purpose and vision - to provide telecommunications operators with a superior product to deliver superior customer experiences.

We know that customer data is at the heart of hyper personalisation and are looking for the brightest, most inspiring engineers to deliver our product which enables data to drive every decision, every communication, and every customer interaction.

We are building a diverse team, all unified by a desire to unleash the data needed by marketeers. Creativity is at the core of Ikue and is something we are looking to further strengthen. There are no typical profiles, each and every team member shares our vision and wants to be part of its success.

• Design and construct Ikue's AI Studio in collaboration with Product owners and Data Scientists
• Design and build machine learning pipelines (model build, evaluation, deploy, monitoring)
• Integrate machine learning outputs into real-time and batch data pipelines
• Ensure machine learning and data pipelines are monitored, reliable and supportable (including expert support when required)

• You will become part of an international environment that embraces diversity and professionalism
• A dynamic and motivated team, with a good sense of humour
• Freedom to take responsibility, grow within the team and ALSO
• Working in a fast-forward company
• Remote work model

• BSc Computer Science or Engineering
• 3+ years working experience as a Machine Learning Engineer
• Advanced skills developing in Python, Spark, SQL
• Experience deploying and maintaining common machine learning models (e.g., binary classification, regression, clustering) in the cloud (AWS ECS andSagemaker preferable)
• AWS Associate Developer certification (Machine Learning Specialty preferable)
• Excellent problem solving and analytical skills
• Strong communication and collaboration abilities

Overview

Let's build the future together!

Ikue is a tech start-up with a clear purpose and vision - to provide telecommunications operators with a superior product to deliver superior customer experiences.

We know that customer data is at the heart of hyper personalisation and are looking for the brightest, most inspiring engineers to deliver our product which enables data to drive every decision, every communication, and every customer interaction.

We are building a diverse team, all unified by a desire to unleash the data needed by marketeers. Creativity is at the core of Ikue and is something we are looking to further strengthen. There are no typical profiles, each and every team member shares our vision and wants to be part of its success.

• Design and construct Ikue's AI Studio in collaboration with Product owners and Data Scientists
• Design and build machine learning pipelines (model build, evaluation, deploy, monitoring)
• Integrate machine learning outputs into real-time and batch data pipelines
• Ensure machine learning and data pipelines are monitored, reliable and supportable (including expert support when required)

• You will become part of an international environment that embraces diversity and professionalism
• A dynamic and motivated team, with a good sense of humour
• Freedom to take responsibility, grow within the team and ALSO
• Working in a fast-forward company
• Remote work model

• BSc Computer Science or Engineering
• 3+ years working experience as a Machine Learning Engineer
• Advanced skills developing in Python, Spark, SQL
• Experience deploying and maintaining common machine learning models (e.g., binary classification, regression, clustering) in the cloud (AWS ECS andSagemaker preferable)
• AWS Associate Developer certification (Machine Learning Specialty preferable)
• Excellent problem solving and analytical skills
• Strong communication and collaboration abilities

Overview

Let's build the future together!

Ikue is a tech start-up with a clear purpose and vision - to provide telecommunications operators with a superior product to deliver superior customer experiences.

We know that customer data is at the heart of hyper personalisation and are looking for the brightest, most inspiring engineers to deliver our product which enables data to drive every decision, every communication, and every customer interaction.

We are building a diverse team, all unified by a desire to unleash the data needed by marketeers. Creativity is at the core of Ikue and is something we are looking to further strengthen. There are no typical profiles, each and every team member shares our vision and wants to be part of its success.

• Design and construct Ikue's AI Studio in collaboration with Product owners and Data Scientists
• Design and build machine learning pipelines (model build, evaluation, deploy, monitoring)
• Integrate machine learning outputs into real-time and batch data pipelines
• Ensure machine learning and data pipelines are monitored, reliable and supportable (including expert support when required)

• You will become part of an international environment that embraces diversity and professionalism
• A dynamic and motivated team, with a good sense of humour
• Freedom to take responsibility, grow within the team and ALSO
• Working in a fast-forward company
• Remote work model

• BSc Computer Science or Engineering
• 3+ years working experience as a Machine Learning Engineer
• Advanced skills developing in Python, Spark, SQL
• Experience deploying and maintaining common machine learning models (e.g., binary classification, regression, clustering) in the cloud (AWS ECS andSagemaker preferable)
• AWS Associate Developer certification (Machine Learning Specialty preferable)
• Excellent problem solving and analytical skills
• Strong communication and collaboration abilities