AI ML Engineer

Kick-start your career in the online gaming world and experience the very latest in technology and innovation.

We’re part of Super Group, the NYSE-listed digital gaming company behind some of the world’s leading Sports and iGaming brands.

Our journey at Betway Africa started in 1999 with a handful of brilliant individuals and some very big picture thinking. Now, we are an ever-growing community of 300+ talented and exceptional people at the forefront of the vast and competitive world. Our expertise lies in marketing, customer service and technology.

We’re on a thrilling journey of growth and innovation, and we need passionate, driven individuals to join us. At Betway Africa, every day is action-packed, and we expect you to bring your A-game. In return, you’ll find a supportive environment where your skills can flourish and your career can soar.

Ready to become a game-changer? Supercharge your career with us and be part of something extraordinary.

We’re on a mission to create extraordinary experiences for our customers, and we believe that your unique skills, passion and superdrive will help us achieve our vision.

The AI ML Engineer plays a key role in designing and implementing cutting-edge artificial intelligence solutions that enhance product offerings, personalisation, and operational efficiency across our casino and sports book platforms. This role collaborates with cross‑functional teams to deliver scalable and intelligent systems that drive innovation and deliver value to our global user base.

• Design, train, and deploy ML/AI models to power features such as player personalisation, recommendation engines, fraud detection, and dynamic odds modelling.

• Partner with data engineers to ensure robust data pipelines and infrastructure for AI workloads.

• Build scalable and efficient systems for deploying models into production environments with high availability and low latency.

• Drive experimentation (A/B testing, uplift modelling) and continuous model improvement based on live performance data.

• Work closely with Product, Compliance, Marketing, and Risk teams to shape AI use cases that align with business goals and regulatory frameworks.

• Maintain proper documentation, ensure model explainability, and support compliance and responsible AI practices.

This job description is not intended to be an exhaustive list of responsibilities. You may be required to complete other reasonable duties in order to achieve business objectives.

• Strong Python skills with frameworks such as Tensor Flow, PyTorch, Scikit-learn
• Solid understanding of statistics, deep learning, NLP, or reinforcement learning
• Experience building end-to-end ML pipelines, from data prep to deployment
• Ability to translate business challenges into machine learning solutions
• Familiarity with cloud services (e.g., AWS Sagemaker, GCP Vertex AI, Azure ML)
• Experience working collaboratively in cross‑functional product/engineering teams
• Strong verbal and written communication skills to explain technical concepts to non-technical stakeholders

• Strong verbal and written communication skills, with the ability to clearly convey complex ideas
• Proven ability to collaborate effectively within cross‑functional teams to achieve shared objectives
• Excellent multitasking and time management skills, with a consistent track record of delivering projects on time and within scope
• High attention to detail, ensuring quality and accuracy in all deliverables
• Comfortable working in fast‑paced, dynamic environments with changing priorities

• Experience in the online gaming or sports betting industry
• Familiarity with real‑time data processing (e.g., Kafka, Spark Streaming)
• Exposure to responsible gaming or fraud prevention AI applications
• Understanding of MLOps practices and CI/CD pipelines for ML
• Familiarity with predictive modelling for LTV,…