Senior Platform Engineer — AI/ML Infra & Cloud

Aimlroles; Greater London; Hybrid; GBP 77,000 - 115,000; Full time

Job summary

Medtronic is seeking a Senior Platform Engineer for the AI and Data Science Platform in London. You will design, build and maintain cloud and on‑prem infra used by ML engineers, data scientists and product teams to develop new solutions at scale.

You will collaborate with cross‑functional teams, respond to platform requests, and help raise reliability, security and developer experience. The role requires commuting to London 2 days per week and a strong background in cloud and container

Qualifications

• Kubernetes experience across Pods, StatefulSets, DaemonSets, Services, PVs/PVCs and Helm deployments.
• GitOps mindset with declarative delivery, PR workflows, peer review and approval gates.
• Cloud infrastructure experience with AWS including IAM, networking, compute and storage.
• Strong understanding of cloud primitives such as IAM, networking, compute, storage and observability.
• Practical Terraform and/or OpenTofu experience for maintainable infra changes.
• Hands-on Docker experience: building, debugging and securing images.
• Experience operating production systems: incident diagnosis and safe change management.
• 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 and supports colleagues as priorities change.
• Willingness to commute to London 2 days per week.
• Exposure to Kanban/Scrum; knowledge of Machine Learning is a plus.

Responsibilities

• Contribute to design, development and maintenance of cloud (AWS) and on‑prem infrastructure used by ML Engineers, Data Scientists and product teams.
• Support ML engineers by responding to platform service requests, troubleshooting issues, and improving the MLOps platform usability.
• Build productive 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 docs and incident reviews.

Skills

Kubernetes

GitOps

AWS

Cloud primitives

Terraform

OpenTofu

Docker

Incident management

Independent work

Collaboration

On-site London

Tools

Helm

Job description

Medtronic is seeking a Senior Platform Engineer for the AI and Data Science Platform in London. You will design, build and maintain cloud and on‑prem infra used by ML engineers, data scientists and product teams to develop new solutions at scale.

You will collaborate with cross‑functional teams, respond to platform requests, and help raise reliability, security and developer experience. The role requires commuting to London 2 days per week and a strong background in cloud and container