MLOps Engineer - Azure ML Specialist

hellokindred· Tech Staffing
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📍 London, England, United KingdomContract

About this role

Company Description

Who is HelloKindred?

HelloKindred are specialists in staffing marketing, creative and technology roles, offering a range of talent solutions that can be delivered on-site, remotely or hybrid.

Our vision is to make work accessible and people’s lives better. We do this by disrupting traditional employment barriers – connecting ambitious talent to flexible opportunities with trusted brands.

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.

Qualifications

  • Strong hands-on experience with Azure ML.
  • Practical experience with Python and machine learning frameworks.
  • Experience working with Azure DevOps and CI/CD.
  • Knowledge of model lifecycle management and MLOps practices.
  • Experience supporting production machine learning workloads.
  • Ability to investigate and document development patterns, pipelines, dependencies, integrations, and data flows.
  • Experience supporting machine learning workload migration and testing.
  • Strong analytical skills with the ability to provide practical recommendations for migration and optimisation.

Additional Information

Candidates must be legally authorized to live and work in the country where the position is based, without requiring employer sponsorship.

HelloKindred is committed to fair, transparent, and inclusive hiring practices. We assess candidates based on skills, experience, and role-related requirements.

We appreciate your interest in this opportunity. While we review every application carefully, only candidates selected for an interview will be contacted.

HelloKindred is an equal opportunity employer. We welcome applicants of all backgrounds and do not discriminate on the basis of race, colour, religion, sex, gender identity or expression, sexual orientation, age, national origin, disability, veteran status, or any other protected characteristic under applicable law.

Frequently Asked Questions

Is the salary disclosed for the MLOps Engineer - Azure ML Specialist position at hellokindred?
The salary for this MLOps Engineer - Azure ML Specialist role at hellokindred is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the MLOps Engineer - Azure ML Specialist position at hellokindred located?
This MLOps Engineer - Azure ML Specialist role at hellokindred is based in London, England, United Kingdom. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the MLOps Engineer - Azure ML Specialist role at hellokindred full-time or part-time?
This is listed as a Contract position. It is posted as a MLOps Engineer - Azure ML Specialist role in the Tech Staffing department at hellokindred.
Which team or department does the MLOps Engineer - Azure ML Specialist at hellokindred belong to?
This MLOps Engineer - Azure ML Specialist position is part of the Tech Staffing department at hellokindred. See the full job description for more information about the team structure and responsibilities.
How do I apply for the MLOps Engineer - Azure ML Specialist position at hellokindred?
Click the "Apply Now" button on this page. You will be redirected to hellokindred's official application portal hosted on smartrecruiters where you can submit your application directly.
When was the MLOps Engineer - Azure ML Specialist job at hellokindred posted?
This MLOps Engineer - Azure ML Specialist position at hellokindred was posted on Oct 2, 2026. Apply as soon as possible — early applications are often reviewed first.
MLOps Engineer - Azure ML Specialist
hellokindred
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