Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Python Developer.

Medtronic
London
1 year ago
Applications closed

Related Jobs

View all jobs

Staff Machine Learning Engineer (Competitive + Equity) at VC-backed AI logistics platform

Computer Vision Tech Lead

Artificial Intelligence Engineer

Senior AI/ML and Data Science Developer

Machine Learning/Artificial Intelligence Developer

Data Scientist / Model Developer - Commercial Lending

Careers that Change Lives 
Acquired by Medtronic – the world’s largest medical device company – in 2019, Digital Technology is a part of the Surgical Robotics operating unit. The company was founded by two surgeons to realize the mission of bringing safe and standardized surgical care to patients around the world.
 
Having a strong and proven foundation in innovation, and in particular computer vision and machine learning, Digital Technology is on the frontier of healthcare image and video analysis. The company is beginning to explore possibilities outside of the Operating Room and minimally invasive surgery, where its existing technology is leading the market in terms of cloud-connected, machine-learning solutions. Imaging and video modalities are ubiquitous across healthcare specialties – why should we stop at minimally invasive surgery?
 
A Day in the Life
As a Python Developer working on our internal machine learning platform at Digital Surgery, you will help design, build and maintain solutions that help deliver cutting edge ML products. You will use your skills to build software that allows our ML team to develop rapidly and at scale.
 
Building machine learning solutions are, by their nature complex. At Medtronic, we are committed to developing robust and effective tools to meet these challenges.
 
Responsibilities include:
• Build and manage python packages used by the ML platform & research teams
• Contribute code to data engineering & platform projects
• Work with ML and data engineers to develop efficient processes for accessing and handle increasing volumes of data
• Collaborate with the ML team to maintain a high bar for quality in a fast-paced, iterative environment 

Must Haves
• BSc or MSc in relevant academic field plus 2-3 years professional experience
• Experience delivering and maintaining production quality code in an industry setting
• Strong experience with Python, common packages and best practices for delivering high quality code
• Experience using version control & contributing to production code bases
• Awareness of common DevOps tools and practices (CI/CD, Docker) 
• Knowledge of cloud infrastructure and development (AWS, GCP etc.)

Nice to have
• Experience working with machine learning would be a bonus
• Experience with infrastructure as code tools (such as Terraform).

We Offer
We offer a competitive salary and benefits package to all our employees:
• Flexible working environment
• Annual Incentive Plan % depending on company results
• Pension scheme and group discount on healthcare insurance 
• Training possibilities via Cornerstone/Skills Lab
• Employee Assistance Program and Recognize! (our global recognition program)

Our Commitment
Our unwavering commitment to inclusion, diversity, and equity (ID&E) means zero barriers to opportunity within Medtronic and a culture where all employees belong, are respected, and feel valued for who they are and the life experiences they contribute. We know equity starts beyond our workplace, and we must play a role in addressing systemic inequities in our communities if we hope to have long-term sustainable impact. Anchored in our Mission, we continue to drive ID&E forward both to enhance the well-being of Medtronic employees and to accelerate innovation that brings our lifesaving technologies to more people in more places around the world. 

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.