Senior Artificial Intelligence Engineer

Medtronic plc; Greater London; On-site; GBP 77,000 - 115,000; Full time

Job summary

Medtronic plc is seeking a Senior Artificial Intelligence Engineer to design, implement, and optimize machine learning models for computer vision and video analysis in edge and cloud environments. You will collaborate across AI/ML, embedded software, and research teams to deliver low-latency, high-throughput solutions for surgical applications.

The role emphasizes prototyping, performance optimization, and productionizing end-to-end video pipelines, with a focus on temporal reasoning and

Qualifications

• Master’s or PhD in CS, Math, CV, ML or related field.
• Hands-on experience with deep learning models for CV using PyTorch.
• Experience with video ML problems: classification, action recognition, tracking, temporal modeling.
• Strong AI optimization know-how: pruning, quantization, distillation, efficiency improvements.
• Experience with TensorRT.
• Proficiency in Python and libraries NumPy, scikit-learn, OpenCV.

Responsibilities

• Design, benchmark, and optimize DL models for CV and video understanding.
• Improve architectures and inference pipelines to reduce latency and increase throughput.
• Develop end-to-end video processing pipelines for surgical video analysis in cloud/edge environments.
• Work on temporal reasoning, motion understanding, and multi-frame analysis.
• Deliver high-quality, maintainable code and share results in team meetings.
• Stay current with advances in CV, video learning, and model optimization, and contribute ideas.

Skills

Deep learning

PyTorch

Video understanding

Model optimization

Python

Education

Master's or PhD in CS/ML/CV

Tools

TensorRT

AWS

Docker

Kubernetes

OpenCV

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 Digital Technologies 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 compact, high-performance, embedded systems that enable edge computing and connectivity. Working closely with other teams across Medtronic, we are creating a connected ecosystem and leveraging the state of the art in 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 Artificial Intelligence Engineer, focused on algorithm optimization, you will help to design, implement, and optimize Machine Learning models to achieve low latency on edge and cloud devices. You will become part of a talented team exploring new concepts through fast iterative prototyping. You will collaborate as an AI optimization expert with our other machine learning engineers, platform engineers, embedded software engineers and research experts of the team.

Primary Responsibilities

• Designing, benchmarking, and optimizing deep learning models for computer vision and video understanding.
• Improving existing model architectures and inference pipelines to reduce latency, increase throughput, and maintain or improve accuracy across target platforms.
• Developing and productionizing end-to-end video processing pipelines for surgical video analysis in cloud and/or edge environments.
• Working on problems involving temporal reasoning, motion understanding, and multi‑frame video analysis.
• Delivering well‑written, high‑quality, and maintainable code.
• Sharing results and technical findings during regular team meetings.
• Staying current with advances in computer vision, video learning, and model optimization, and contributing new ideas.

Required Qualifications

• Master’s or PhD in Computer Science, Mathematics, Computer Vision, Machine Learning, or a related field.
• Strong hands‑on experience designing, training, and evaluating deep learning models for computer vision using PyTorch.
• Experience with video-based machine learning problems such as video classification, action recognition, tracking, temporal modeling, or multi‑frame reasoning.
• Strong understanding of model optimization techniques such as pruning, quantization, sparsity, knowledge distillation, or architecture‑level efficiency improvements.
• Strong understanding of AI optimization tools, such as TensorRT.
• Strong programming skills in Python and experience with relevant numerical and machine learning libraries such as NumPy, scikit‑learn, and OpenCV.
• Ability to analyze performance bottlenecks and optimize systems across model, software, and hardware layers.

Preferred Qualifications

• Experience with AWS cloud services and containerized deployment workflows, including Docker, EKS, and ECS.
• Experience with data visualization for model evaluation, performance analysis, and communication of results.
• Strong communication skills, with the ability to collaborate effectively with engineers, clinicians, business stakeholders, and cross‑functional partners.
• Experience working on video processing or other performance‑sensitive, real‑time, or high‑performance applications.
• Experience in medical imaging, surgical video, or other safety‑or quality‑critical AI applications.
• Track record of scientific publications, patents, or conference contributions in computer vision, machine learning, video understanding, or related fields.

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 / Rango salarial / Intervalo salarial /Fascia retributiva / Tranche de salaire / Gehaltsband / Salaribereik: United Kingdom: 76,800.00 GBP - 115,200.00 GBP | The final salary within this range will be determined based on objective, job‑related criteria, including relevant experience, skills and qualifications, in accordance with our compensation framework.

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. By bringing your ambitious ideas, unique perspective and contributions, you will… Build a better future, amplifying your impact on the causes that matter to you and the world Grow a career reflective of your passion and abilities Connect to a dynamic and inclusive culture that welcomes the challenge of life‑long learning These commitments set our team apart from the rest: Experiences that put people first. Respect for people is the hallmark of our humanity. It fuels our team to positively impact even a single life. And it means we put our people first at Medtronic as well, creating a culture of belonging and always pushing to get you the career‑building resources you need. Life-transforming technologies. No matter your role, you contribute to technologies that transform lives. Better outcomes for our world. Here, it’s about more than the bottom line. Our Mission to improve human welfare drives us. We advance healthcare, society, and equity with every design, inside and outside our walls. Insight-driven care. Fresh viewpoints. Cutting-edge AI, data, and automation. You’re shaping the future of healthcare technology and defining the next generationof breakthroughs incare It is the policyof 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/orexpression, 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, Medtronicwill providereasonable accommodationsfor qualified individuals with disabilities. For sales reps and other patient facing field employees, going into a healthcare settingis considered an essentialfunction of the jobandweexpectour employeesto complywithallcredentialing requirementsatthehospitals or clinicstheysupport. ThisemployerparticipatesinthefederalE‑Verifyprogram to confirmthe identity and employment authorization of all newly hired employees.