MLOps Engineer - Azure ML, Github
Up to £550pd (Inside IR35)
London/Hybrid
6 months
My client is looking for an MLOps Engineer to build and maintain scalable, automated AI systems on Azure. You'll develop CI/CD pipelines for AI/ML, manage model deployment and monitoring, and work closely with data scientists and engineers to ensure secure, reliable, and compliant AI operations across environments.
Key Requirements:
Proven experience in MLOps with strong focus on Azure
Proficient in Azure Machine Learning, Cognitive Services, Speech Services, Azure OpenAI
Hands‑on with Azure DevOps, Azure CLI, and CI/CD for AI
Strong Python and Azure SDK experience
Solid knowledge of Docker, Kubernetes/AKS
Experience with Azure Monitor, App Insights, and building dashboards
Understanding of IAM in Azure (Managed Identity, RBAC)
AI/ML lifecycle and environment promotion experience
Strong problem‑solving and communication skills
Nice to have:
Some experience with GitHub Actions or other CI/CD tools
Experience with Flask or similar frameworks
Familiarity with MLflow
Exposure to Generative AI / LLMs
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