At a Glance
- Tasks: Design and maintain cloud infrastructure for cutting-edge AI and data science projects.
- Company: Join Medtronic, a global leader in healthcare technology with a mission to improve lives.
- Benefits: Competitive salary, flexible benefits, and a commitment to employee growth.
- Other info: Collaborative environment with opportunities for career advancement.
- Why this job: Make a real impact on global healthcare using innovative technology.
- Qualifications: Strong Kubernetes, AWS, and cloud infrastructure experience required.
The predicted salary is between 72000 - 88000 £ per year.
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:
- 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.
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: 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).
Location: London, London, United Kingdom
Type: Full time
Senior AI/Data Science Platform Engineer in London employer: Medtronic
At Medtronic, we are dedicated to fostering a work environment that prioritises employee growth and well-being. As a Customer Service Representative in the UK&I, you will be part of a dynamic team that values innovation and collaboration, offering you the chance to make a real impact in healthcare while enjoying a competitive salary and flexible benefits. Join us to develop your career in a purpose-driven culture that supports your professional journey and celebrates your contributions to improving patient care.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI/Data Science Platform Engineer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Medtronic or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Medtronic.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Medtronic.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Medtronic that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior AI/Data Science Platform Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Medtronic.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Medtronic and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Medtronic
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Medtronic uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
