Senior DevOps ML Engineer

This is a remote position.

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

Requirements

• Stronghands-onexperiencewithAzureDatabricks,includingMLflowand UnityCatalog
• Proven background in DevOps orMLOpsfor AI / ML platforms
• Solid experience with Azure Cloud services
• Hands-on CI/CD and pipeline automation experience
• Infrastructure as Codeexpertiseusing Terraform
• Strong understanding of data governance, access control, and compliance principles
• Confident English for daily cooperation with international stakeholders

Nice to have

• Pythondevelopmentorscriptingexperience
• Docker and Kubernetes knowledge
• Exposure to Generative AI or broader ML workflows
• Experience working in insurance or other regulated environments

Benefits

• Solid, competitive salary
• Work in multinational environment on international projects
• Comprehensive healthcare
• Long-term B2B contract with stable project pipeline
• Fully remote model