HelloKindred

MLOps Engineer - Azure ML Specialist

London, gb Contract Hybrid
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Job Description

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.

Frequently Asked Questions

What does the MLOps Engineer - Azure ML Specialist role at HelloKindred involve?

The MLOps Engineer - Azure ML Specialist position at HelloKindred in London, gb is a contract role. 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.

What skills are required for MLOps Engineer - Azure ML Specialist at HelloKindred?

Key skills for this role include: Azure, CI/CD, Machine Learning, Mlops.

What is the salary for MLOps Engineer - Azure ML Specialist at HelloKindred?

The salary for this position is not publicly listed. You can negotiate during the interview process. Check Glassdoor or Levels.fyi for estimates.

Is the MLOps Engineer - Azure ML Specialist position at HelloKindred remote or on-site?

This position is Hybrid. Expect a combination of office and remote work, typically based in London, gb.

How do I apply for MLOps Engineer - Azure ML Specialist at HelloKindred?

You can apply for this position directly through the employer's careers page. Click the 'Apply Now' button on this page to be redirected to the original listing. Make sure your resume is ATS-optimized. Use SpotChange's free ATS test to check.

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About This Role

MLOps Engineer - Azure ML Specialist at HelloKindred is a contract ai & machine learning position in London, gb. Key skills include Azure, CI/CD, Machine Learning, Mlops. Experience: 3+ years.

This role is classified as hybrid and is suitable for mid level-level professionals. Ghost Score 25/100 (Probably Active) indicates this listing is probably active with recent employer engagement.

To apply, visit the official application page through the Apply Now button above. SpotChange Jobs provides AI-powered career tools including resume optimization, ATS testing, interview preparation, and salary negotiation assistance.