Machine Learning Engineer, Senior

Senior Machine Learning Engineer x2 days a week in the office (can be reduced to x1 day sometimes)

Join a large-scale, consumer-facing technology business operating across multiple markets, known for its innovation, rich user data, and commitment to ML / AI.

With thousands of employees and a rapidly expanding AI/ML function, this company is investing deeply in applied machine learning to enhance digital experiences, power intelligent automation, and unlock data-driven decision-making.

As a Senior Machine Learning Engineer, youll be part of a cross-functional team bringing models from ideation into production, developing scalable ML systems that operate across both real-time and batch environments. You'll also help shape internal tooling and infrastructure to support rapid experimentation, reliable deployment, and safe AI at scale.

Build, deploy and maintain machine learning models as APIs, streams, and batch services
Partner with Data Scientists to industrialise prototypes into production-ready applications
Lead on observability, CI/CD automation, and monitoring for ML workflows
Contribute to shared ML tooling and experimentation platforms
Ensure best practices in model testing, rollback, and deployment hygiene
Work across technical and compliance teams to ensure governance and risk controls

35 years experience in machine learning engineering and/or applied data science
~ Masters or PhD in a numerate discipline (Computer Science, Mathematics, etc.)
~ Strong Python coding skills for production systems
~ Familiarity with MLOps best practices and containerised deployments (Docker, Kubernetes)
~ Experience working in cloud environments (AWS preferred; Terraform a bonus)
~ Strong communication skills and interest in the latest ML/AI developments
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