Senior AI Platform Engineer: Cloud & MLOps

DSL Digital Surgery Limited; Greater London; Hybrid; GBP 77,000 - 115,000; Full time

Benefits offered by this job

Competitive salary

Short-term incentive (MIP)

Hybrid work arrangement

Job summary

Medtronic is a global healthcare technology leader hiring a Senior Platform Engineer for the AI and Data Science Platform in the Surgical Operating Unit. The role designs, builds, and maintains cloud and on-prem infra used by ML engineers, data scientists and software teams to accelerate product development.

The ideal candidate has strong Kubernetes skills, Terraform/OpenTofu experience, Docker proficiency, and a solid cloud foundation (AWS).

Qualifications

• Strong practical Kubernetes experience, including diagnosing and operating Pods, ReplicaSets, StatefulSets, DaemonSets, Services, PVs/PVCs, and Helm deployments.
• GitOps-oriented mindset with experience in declarative, version-controlled delivery, PR workflows, peer review, and approval gates.
• Cloud infrastructure experience, with AWS strongly preferred.
• 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.
• Exposure, collaboration with or direct experience in a Kanban and/or Scrum role is preferred.
• Experience and/or knowledge of Machine Learning is considered a plus.

Responsibilities

• Contribute to the design, development and maintenance of cloud (AWS) and on-prem infrastructure that is used by ML Engineers, Data Scientists and new 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 move shared technical work forward.
• Explain technical ideas, risks, and trade-offs clearly in pull requests, design documents, incident reviews, and meetings.
• Willingness to commute to London 2 days per week.

Job description

Medtronic is a global healthcare technology leader hiring a Senior Platform Engineer for the AI and Data Science Platform in the Surgical Operating Unit. The role designs, builds, and maintains cloud and on-prem infra used by ML engineers, data scientists and software teams to accelerate product development.

The ideal candidate has strong Kubernetes skills, Terraform/OpenTofu experience, Docker proficiency, and a solid cloud foundation (AWS).