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 If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)