Senior ML Engineer

Games Global Operations Limited; Durban North; On-site; ZAR 800,000 - 1,200,000; Full time

Job summary

Games Global Operations Limited is seeking a Senior ML Engineer for its Advanced Data Products team in Durban North, South Africa. This role involves designing and optimising robust ML models and pipelines, owning the full ML lifecycle, and mentoring junior engineers.

The ideal candidate should have extensive machine learning expertise, solid software engineering skills, and experience in MLOps and cloud environments. Join a dynamic team where you can create impactful data-driven products.

Qualifications

• Strong grasp of algorithms, model selection, and evaluation.
• Clean, production-ready code writing skills.
• Track record of ML systems deployment and operation.

Responsibilities

• Design, build, and optimise ML models and pipelines.
• Own full ML lifecycle from data ingestion to monitoring.
• Mentor junior engineers and improve model quality.

Skills

Machine learning expertise

Software engineering skills

MLOps experience

Cloud experience (AWS preferred)

Statistics foundation

Clear communication

Problem-solving skills

Education

B.Sc. in Computer Science or related field

Job description

Overview

We're looking for a Senior ML Engineer to join our Advanced Data Products team and help build the machine learning systems that power Games Global's data-driven products.

If you're obsessed with building robust, scalable ML pipelines — and take pride in models that don't just work in a notebook but thrive in production — this role was made for you.

Responsibilities

What you'll be doing

• Design, build, and optimise machine learning models and pipelines that deliver real business impact across GGL
• Own the full ML lifecycle — from data ingestion and feature engineering through to training, evaluation, deployment, and monitoring
• Build and maintain MLOps infrastructure to support reliable, repeatable model delivery
• Collaborate with AI Engineers and data teams to turn business use cases into production-grade ML solutions
• Build and maintain observability tooling to monitor model performance, drift, and data quality in production
• Mentor junior engineers in the team — sharing knowledge, reviewing work, and helping them grow
• Continuously improve model quality, efficiency, and scalability across GGL's product suite

Qualifications

What we're looking for

• Deep machine learning expertise — strong grasp of algorithms, model selection, and evaluation
• Solid software engineering skills — you write clean, production-ready code
• Hands-on MLOps experience — pipelines, experiment tracking, model versioning, and deployment
• Hands-on cloud experience, AWS preferred
• Track record of building, deploying, and operating ML systems at scale
• Experience with observability — monitoring, alerting, and keeping models healthy in production
• Strong foundations in statistics, mathematics, and data modelling
• Sharp problem-solving instincts — you break complex technical challenges into structured, deliverable pieces
• Clear communicator who can work effectively across engineering and data teams
• Experience mentoring, supporting, and growing junior engineers
• B.Sc. in Computer Science, Statistics, Applied Mathematics, Data Science, or related field — B.Eng./B.Tech also considered (postgrad a bonus)