Machine Learning Engineer

Eteam — United Kingdom · Posted ~3 hours ago

Senior Contract Hybrid £438 per day

Skills

Azure ML Python Machine Learning Azure DevOps CI/CD

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Summary ✨ AI‑Generated

A machine learning engineering role focused on assessing and improving ML platforms. Responsibilities include analyzing workflows, migrating models, supporting testing, and optimizing deployment processes.

Highlights

Contract MLOps role focused on Azure ML migration, model lifecycle management, and machine learning platform optimization.

Description

We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you. Role Title: MLOps Engineer-Azure ML Specialist Location: London 2-3 WFO Duration: 31/12/2026 Rate: £438 per day(PAYE through FCSA Umbrella) Role Description: **Purpose:** Assess and document the existing Azure ML estate and support migration of workloads. **Key Responsibilities** - 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 migration and testing of pilot models. - Provide recommendations for migration and optimisation. **Key Experience** - Strong hands-on Azure ML experience. - Python and machine learning frameworks. - Azure DevOps, CI/CD, and model lifecycle management. Experience supporting production ML workloads If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.