Machine Learning Engineer

Designing, building and maintaining production-grade machine learning systems that power personalisation and product discovery

Developing and improving recommender systems, ranking models and customer-facing machine learning capabilities

Deploying models into batch and real-time environments, ensuring reliability, scalability and performance at scale

Collaborating with Applied Scientists and Engineers to take models from experimentation into robust production systems

Monitoring, evaluating and iterating on models using real-world customer behaviour and performance metrics

Contributing to engineering best practices, MLOps tooling and shared machine learning platform capabilities

Helping to improve how machine learning is developed, deployed and operated across the organisation

We're keen to hear from Machine Learning Engineers who enjoy solving real-world problems, learning from others and building systems that deliver meaningful impact.

You don't need to meet every requirement below to apply. If this role sounds exciting and aligns with your experience or career ambitions, we'd love to hear from you.

Experience developing, deploying or operating machine learning solutions in production environments

Familiarity with modern machine learning frameworks and tooling such as PyTorch, TensorFlow, XGBoost or similar technologies

Experience training models using GPUs, or an interest in distributed computing and scalable machine learning systems

Understanding of software engineering fundamentals, including version control, CI/CD, testing, observability and containerisation

An appreciation of MLOps practices and the challenges of deploying machine learning systems at scale

Strong collaboration and communication skills, with experience working across engineering, science and product disciplines

Curiosity, adaptability and a genuine enthusiasm for learning new technologies and approaches