Anticipated Contract End Date/Length: December 31, 2026 Work Set-Up: Hybrid (2–3 days per week in office) Clearance Required: BPSS Our client in the Information Technology and Services industry is looking for a MLOps Engineer - Azure ML Specialist to assess and document the existing Azure ML estate and support the migration of machine learning workloads. The role will focus on investigating current Azure ML development patterns and Data Scientist workflows, analysing training and deployment pipelines, documenting dependencies and data flows, transitioning model assets and configurations, and supporting the migration and testing of pilot models. What you will do: Investigate current Azure ML development patterns and Data Scientist workflows. Analyse training pipelines, deployment pipelines, model artefacts, and monitoring capabilities. Document dependencies, integrations, and data flows. Extract and transition model assets, configurations, and deployment patterns. Support the migration and testing of pilot models. Provide recommendations for migration and optimisation. Assess existing machine learning workloads and support production migration activities. Apply Azure DevOps and CI/CD practices to support model lifecycle management.