ML Engineer

• Strong experience deploying machine learning models into production.
• Advanced Python skills and experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
• Experience building and maintaining MLOps pipelines and CI/CD workflows.
• Strong knowledge of AWS, Azure, or GCP.
• Experience with Docker and Kubernetes.
• Strong SQL skills and experience working with large datasets.
• Ability to communicate effectively with both technical and non-technical stakeholders.

They are a well-established retail business investing heavily in their data and AI capabilities. Data plays a central role in shaping strategy across the organisation, with a strong focus on delivering measurable business outcomes through technology. You will join a collaborative team working on impactful machine learning projects within a modern cloud environment.

The Role and Deliverables

• Design, build, and deploy machine learning models into production environments.
• Develop scalable ML pipelines to support model training, testing, and monitoring.
• Collaborate with Data Scientists and Data Engineers to operationalise machine learning solutions.
• Optimise model performance, reliability, and scalability across retail use cases.
• Support the development of MLOps processes and machine learning infrastructure.
• Deliver production-ready solutions that provide measurable business impact.