At a Glance
- Tasks: Design and maintain cloud infrastructure for ML Engineers and Data Scientists.
- Company: Join Medtronic, a leader in healthcare technology innovation.
- Benefits: Flexible benefits, competitive pay, and short-term incentive plans.
- Other info: Collaborative environment with opportunities for growth and learning.
- Why this job: Make a real impact in healthcare with cutting-edge AI and data science.
- Qualifications: Strong Kubernetes and cloud infrastructure experience required.
The predicted salary is between 51750 - 63250 £ per year.
Medtronic is a global healthcare technology company that develops medical technologies to alleviate pain, restore health, and extend life. Its Surgical Operating Unit creates products that bring connectivity, real-time guidance, and decision support to the operating room. The Surgical AI Centre of Excellence uses data science and computer vision to provide a comprehensive view of surgery.
Responsibilities:
- Contribute to the design, development, and maintenance of cloud and on-prem infrastructure used by ML Engineers, Data Scientists, and 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 advance shared technical work.
- Explain technical ideas, risks, and trade-offs clearly in pull requests, design documents, incident reviews, and meetings.
Requirements:
- Strong practical Kubernetes experience, including diagnosing and operating Pods, ReplicaSets, StatefulSets, DaemonSets, Services, PVs/PVCs, and Helm deployments.
- A GitOps-oriented mindset and experience with declarative, version-controlled delivery, PR workflows, peer review, and approval gates.
- Cloud infrastructure experience.
- 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.
Desirable:
- Exposure to, collaboration with, or direct experience in a Kanban and/or Scrum role; experience and/or knowledge of Machine Learning; AWS experience.
Conditions:
- The position is eligible for the short-term Medtronic Incentive Plan (MIP).
- Flexible benefits package and competitive compensation plans.
AI/Data Science Platform Engineer in London employer: Medtronic plc
Medtronic plc is an exceptional employer located in Watford, offering a dynamic work culture that prioritises patient-focused service and continuous improvement. Employees benefit from comprehensive training, opportunities for professional growth, and the chance to collaborate with industry experts in a highly regulated MedTech environment, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land 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 plc 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 plc.
✨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 plc.
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We think you need these skills to ace 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 plc.
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 plc 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 plc
✨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 plc 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.
