AI/Data Science Platform Engineer

Medtronic is a global healthcare technology company that develops medical technologies to alleviate pain, restore health, and extend life. Its Surgical Operating Unit creates products that bring connectivity, real-time guidance, and decision support to the operating room. The Surgical AI Centre of Excellence uses data science and computer vision to provide a comprehensive view of surgery.

• Contribute to the design, development, and maintenance of cloud and on-prem infrastructure used by ML Engineers, Data Scientists, and product development teams
• Support ML engineers by responding to platform service requests, troubleshooting issues, and improving the reliability and usability of the MLOps platform
• Build productive working relationships across engineering teams to align stakeholders and advance shared technical work
• Explain technical ideas, risks, and trade-offs clearly in pull requests, design documents, incident reviews, and meetings

• Strong practical Kubernetes experience, including diagnosing and operating Pods, ReplicaSets, StatefulSets, DaemonSets, Services, PVs/PVCs, and Helm deployments
• A GitOps-oriented mindset and experience with declarative, version-controlled delivery, PR workflows, peer review, and approval gates
• Cloud infrastructure experience
• Strong understanding of cloud primitives, including IAM, networking, compute, storage, and observability
• Practical Terraform and/or OpenTofu experience, with the ability to build maintainable, reviewable infrastructure changes
• Hands-on Docker experience, including building, debugging, and maintaining secure, efficient images
• Experience operating production systems, including incident diagnosis, safe change management, and preventing recurrence
• Ability to assess complex platform needs, define practical solutions, and deliver with limited supervision
• Proven ability to improve developer experience, reliability, security, delivery speed, or operational efficiency
• Collaborative team player who communicates openly, gives and receives constructive feedback, and supports colleagues as priorities change
• Willingness to commute to London 2 days per week
• Будет плюсом: Exposure to, collaboration with, or direct experience in a Kanban and/or Scrum role; experience and/or knowledge of Machine Learning; AWS experience

• The position is eligible for the short-term Medtronic Incentive Plan (MIP)
• Flexible benefits package and competitive compensation plans