Azure MLOps Engineer: ML Pipelines & Migration Expert

SmartRecruiters, Inc.; Greater London; Hybrid; GBP 65,000 - 95,000; Full time

Job summary

HelloKindred is seeking an MLOps Engineer - Azure ML Specialist to assess the current Azure ML estate and support the migration of machine learning workloads.

You will analyze development patterns, pipelines, dependencies and data flows, document findings, and help transition models to production with CI/CD practices. The role requires BPSS clearance and a hybrid setup in London, with the contract ending on 31 December 2026.

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.

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 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.

Skills

Azure ML

Python

CI/CD

Azure DevOps

MLOps

Data science workflows

Tools

Azure DevOps

CI/CD tooling

Job description

HelloKindred is seeking an MLOps Engineer - Azure ML Specialist to assess the current Azure ML estate and support the migration of machine learning workloads.

You will analyze development patterns, pipelines, dependencies and data flows, document findings, and help transition models to production with CI/CD practices. The role requires BPSS clearance and a hybrid setup in London, with the contract ending on 31 December 2026.