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