Machine Learning Engineer

MLOps Engineer

Contract

London based (hybrid or onsite depending on preference)

Outside IR35

£600 to £650 per day

I am supporting a client in London who is preparing to scale their machine learning capability. They need an experienced MLOps Engineer who can take models from development into a reliable production environment and keep everything running smoothly throughout the lifecycle.

What you will be working on

• Building, improving and maintaining the end to end ML pipeline from data ingestion through to deployment.

• Working closely with Data Scientists to turn notebooks and prototypes into production ready workloads.

• Setting up CI and CD for model training, testing and deployment using Python based toolsets.

• Managing model performance, drift monitoring and regular retraining workflows.

• Creating infrastructure using Terraform or similar, ideally within Azure.

• Maintaining containerised workloads using Docker and Kubernetes.

• Supporting observability by putting in place clear logging, alerting and metrics for ML services.

• Ensuring best practice for version control, experiment tracking and model registry.

• Troubleshooting production issues and improving stability and performance across the ML platform.

Key skills

• Strong Python for production environments.

• Solid experience with Azure for ML workloads including compute, networking and storage.

• Good knowledge of MLOps tools such as MLflow, Azure ML, Kubeflow or similar.

• Strong background in CI and CD using GitHub Actions, Azure DevOps or similar.

• Experience working in containerised environments using Docker and Kubernetes.

• Clear understanding of how to support Data Scientists and engineering teams through the model lifecycle.

Useful to have

• Experience working on large scale data or ML projects.

• Good understanding of data engineering fundamentals.

• Experience working in regulated or high availability environments.

If you're an experienced MLOps Engineer feel free to apply or send your C.V to

MLOps Engineer