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Senior AI/Data Science Platform Engineer
Medtronic
London, GBR
Full-time
Senior
Hybrid
GBP 76800-115200 yearly / year
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A Day in the Life
Medtronic ’s Surgical Operating Unit (SOU) is creating ambitious new products that bring connectivity, real-time guidance, and decision support to the operating room. To support this mission, we are developing high-performance systems that enable edge computing and connectivity.
The Surgical AI Centre of Excellence works closely with teams across the SOU , to create a connected ecosystem and leverag e state of the art data science and computer vision to provide the most comprehensive view of surgery. If you’re interested in using cutting-edge technology to improve the standard of care in surgery on a global scale, this could be the place for you.
As a Senior Platform Engineer working in our AI and Data Science Platform team, you will help design, build and maintain cloud and on-prem infrastructure that Software Engineers, Machine Learning Engineers and Data Scientists use to develop new products. You will use your skills to build a platform that empowers our teams to deliver rapidly and at scale.
Responsibilities may include the following and other duties may be assigned
- 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.
Required Knowledge and Experience
Strong practical Kubernetes experience, including diagnosing and operating Pods, ReplicaSets, StatefulSets, DaemonSets, Services, PVs/PVCs, and Helm deployments.
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