Senior AI/Data Science Platform Engineer

Posted Yesterday
Be an Early Applicant
London, Greater London, England, GBR
In-Office
77K-115K Annually
Senior level
Healthtech
The Role
Designs, builds, and maintains AWS and on-premises infrastructure for machine learning engineers, data scientists, and software teams. Responsibilities include operating Kubernetes and MLOps platforms, responding to service requests, troubleshooting production issues, implementing infrastructure as code, improving reliability and developer experience, and supporting secure, scalable product delivery. The role requires cross-team collaboration, clear technical communication, and commuting to London two days per week.
Summary Generated by Built In

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 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.

  • 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.

  • Willingness to commute to London 2 days per week.

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.


    Physical Job Requirements
    The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. 

    Recruitment Fraud Alert 

    We are aware of phishing scams targeting job seekers. Please keep the following in mind: 


    Apply only through official Medtronic channels. All legitimate Medtronic recruiting communications come from approved Medtronic platforms and official @medtronic.com email addresses. 


    Medtronic will never ask for payment or sensitive personal information (such as bank account or Social Security details) during early stages of the hiring process. Any such requests are not legitimate. 


    If you receive a suspicious message claiming to be from Medtronic, do not respond, click links, or open attachments. 


    If you have any questions, concerns regarding the authenticity of a communication alleged to have been made by or on behalf of Medtronic, please contact us immediately at [email protected]



    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).

    Skills Required

    • Strong practical Kubernetes experience, including operating and diagnosing Pods, ReplicaSets, StatefulSets, DaemonSets, Services, PVs/PVCs, and Helm deployments.
    • Experience with GitOps, declarative version-controlled delivery, pull request workflows, peer review, and approval gates.
    • Cloud infrastructure experience; AWS is strongly preferred.
    • Strong understanding of cloud primitives, including IAM, networking, compute, storage, and observability.
    • Practical Terraform and/or OpenTofu experience building maintainable, reviewable infrastructure changes.
    • Hands-on Docker experience building, debugging, and maintaining secure, efficient images.
    • Experience operating production systems, diagnosing incidents, managing changes safely, 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 communication skills, including giving and receiving constructive feedback and supporting colleagues as priorities change.
    • Willingness to commute to London two days per week.
    • Exposure to, collaboration with, or direct experience in Kanban and/or Scrum.
    • Experience or knowledge of machine learning.

    Medtronic Compensation & Benefits Highlights

    The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Medtronic and has not been reviewed or approved by Medtronic.

    • Healthcare Strength Health coverage is considered comprehensive, with high-quality medical, dental, and vision options through major providers and added mental-health resources. These programs are frequently highlighted as a core strength of the package.
    • Parental & Family Support Parental and family benefits stand out, including up to 24 weeks paid leave for U.S. birthing parents, 12 weeks for other parents, and a global Family Care Leave at 100% pay. Family-building support (fertility, adoption/surrogacy reimbursements) and backup care further reinforce this strength.
    • Retirement Support A 401(k) with company match is described as competitive and reliable for long-term savings. Additional financial programs, such as tuition assistance and charitable-gift matching, complement retirement planning.

    Medtronic Insights

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    The Company
    HQ: Dublin
    80,303 Employees
    Year Founded: 1949

    What We Do

    Medtronic is a global healthcare solutions company operating in approximately 160 countries. We are committed to improving lives through our medical technologies, services, and solutions. Since our beginning, 60 years ago, our Mission has remained the same: to alleviate pain, restore health, and extend life for people around the world. The Mission is our ethical framework and inspirational goal guiding our day-to-day work. It reminds us that our efforts are transforming millions of lives each year. To meet the needs of patients and healthcare professionals around the globe, we operate from more than 370 locations in approximately 160 countries.

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