Senior MLOps Engineer

Experience: 6 - 15 years

Max Experience: 15

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.

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