We are looking for a Senior DevOps ML Engineer to support a long-term enterprise AI platform focused on production-grade ML workloads. This role is fully centred on MLOps and DevOps infrastructure — ensuring that existing AI and ML models run reliably, securely, and at scale in production. The position operates in a regulated environment and requires strong focus on automation, governance, and operational excellence.
Responsibilities
Design, build, and maintainMLOpsand DevOps infrastructure on Azure
Develop andoptimiseML pipelines for deployment, monitoring, and governance
Work with Azure Databricks,MLflow, and Unity Catalog
Implement CI/CD pipelines and automatedModelOpsworkflows
Ensure data architecture supports governance, lineage, and schema evolution
Apply Infrastructure as Code using Terraform
Collaborate closely with AI engineers and data teams to support production ML systems
Monitor and ensure platform stability, performance, security, and compliance
Support operational readiness of ML workloads in regulated environments