Senior AI/Data Science Platform Engineer

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

Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. 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 leverage 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

• 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.

Required Knowledge and Experience

• 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.

Benefits & Compensation

• Medtronic offers a competitive Salary and flexible Benefits Package
• A commitment to our employees lives at the core of our values.
• We recognize their contributions.
• They share in the success they help to create.
• We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.
• Pay range / Rango salarial / Intervalo salarial /Fascia retributiva / Tranche de salaire / Gehaltsband / Salaribereik: United Kingdom: 76,800.00 GBP - 115,200.00 GBP | This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).
• We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions.
• Our Mission — to alleviate pain, restore health, and extend life — unites a global team of 95,000+ passionate people.
• We are engineers at heart— putting ambitious ideas to work to generate real solutions for real people.
• From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves.
• We have the talent, diverse perspectives, and guts to engineer the extraordinary.
• We change lives.
• Each team member, each day, helps to improve and redefine how the world treats the most pressing health conditions, from heart disease to diabetes.
• Our industry leadership comes from the passion and ingenuity of our people.
• That’s who we are.
• Working alongside one another, we use science, medicine, and a profound understanding of the human body to build extraordinary technologies that can transform lives.
• We build extraordinary solutions as one team.
• With one Medtronic Mindset defining how we work.
• Speed and decisiveness run through our DNA.
• Diverse perspectives inspire our bold answers to any challenge that comes our way.
• And we deliver results the right way, breakthrough after patient breakthrough.
• This life-changing career is yours to engineer.

It is the policy of Medtronic to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status or any other characteristic protected by federal, state or local law. In addition, Medtronic will provide reasonable accommodations for qualified individuals with disabilities.

For sales reps and other patient facing field employees, going into a healthcare setting is considered an essential function of the job and we expect our employees to comply with all credentialing requirements at the hospitals or clinics they support.

This employer participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees.