MLOps Specialist: DevOps, Kubernetes

Overview Job title: Senior DevOps / MLOps EngineerEngagement type: ContractLocation: Remote (within the EU)Responsibilities You'll join a highly specialised environment where the ML platform is already live and heavily used. The focus will be on platform stability, upgrades, security updates, and enabling users, rather than firefighting production issues.Supporting and improving an existing ML platform running on KubernetesManaging and evolving Kubeflow-based ML workflows (350+ pipelines)Contributing to cluster migrations, version upgrades, and security updatesSupporting users with platform setup and best practicesReducing knowledge concentration by improving maintainability and shared understanding of the platformCollaborating closely with data scientists, ML engineers, and cloud/platform teamsTech Environment Infrastructure & PlatformCloud: Azure (core cloud managed by another team)GitOps-based deploymentsCI/CD & MLOpsGitHub ActionsKubeflow for ML orchestrationArtifactory for Dock...