Senior DevOps ML Engineer

Job Description 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 maintain MLOps and DevOps infrastructure on Azure Develop and optimise ML pipelines for deployment, monitoring, and governance Work with Azure Databricks, MLflow , and Unity Catalog Implement CI/CD pipelines and automated ModelOps workflows 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 Strong hands-on experience with Azure Databricks , including MLflow and Unity Catalog Proven background in DevOps or MLOps for AI / ML platforms Solid experience with Azure Cloud services Hands-on CI/CD and pipeline automation experience Infrastructure as Code expertise using Terraform Strong understanding of data governance, access control, and compliance principles Confident English for daily cooperation with international stakeholders Nice to have Python development or scripting experience 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