Job Description

Overview

Job title: Senior DevOps / MLOps Engineer

Engagement type: Contract

Location: 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 Kubernetes
  • Managing and evolving Kubeflow-based ML workflows (350+ pipelines)
  • Contributing to cluster migrations, version upgrades, and security updates
  • Supporting users with platform setup and best practices
  • Reducing knowledge concentration by improving maintainability and shared understanding of the platform
  • Collaborating closely with data scientists, ML engineers, and cloud/platform teams
Tech Environment

Infrastructure & Platform <...

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