Senior Artificial Intelligence Engineer

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

Benefits offered by this job

Competitive salary

Flexible benefits

Medtronic Incentive Plan (MIP)

Job summary

Medtronic plc is seeking a Senior Artificial Intelligence Engineer to optimize ML models for low latency on edge and cloud devices. You will design, implement, and iterate production pipelines processing surgical videos in real time, collaborating with ML, platform, and embedded teams.

The role emphasizes advanced CV/ML techniques, fast prototyping, and strong communication across diverse stakeholders in a global healthcare setting.

Qualifications

• Master's or PhD in Computer Science, Math, CV/ML or related field.
• Proven ability to design and build CV networks using PyTorch.
• Knowledge of optimization methods (pruning, sparsity, quantization).
• Experience with AI optimization tools (TensorRT).
• Strong Python and numerical library skills (NumPy, OpenCV, scikit-learn).
• Experience with CI/CD pipelines and CV basics.

Responsibilities

• Benchmark and optimize network architectures for latency on target platforms.
• Redesign networks to improve forward flow and reduce latency.
• Develop production pipelines in cloud or edge devices for real-time video.
• Deliver high-quality, well-documented code.
• Share results in regular team meetings and reviews.
• Stay updated with state-of-the-art methods and research ideas.

Skills

Python

PyTorch

Computer Vision

CI/CD pipelines

CUDA

Education

Master’s or PhD in Computer Science/Math/CS Vision/ML

Tools

TensorRT

Docker

AWS (EKS/ECS)

CUDA

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

• Benchmarking and optimizing different existing network architectures and their latency in different target platforms.
• Further re-designing or optimizing existing network architectures to improve their forward flow and reduce latency.
• Developing production pipelines in the cloud or edge devices to process surgical videos in real-time with our optimized models.
• Delivering well-written and high-quality code.
• Sharing results during regular meetings.
• Staying updated with state-of-the-art methods and propose novel approaches for problems at hand (we try to devote time to do research and share it with the team).

Required Qualifications

• A Master or PhD in, Computer Science, Mathematics, Computer Vision/Machine Learning or similar related field.
• Proven ability to design and build computer vision networks using Pytorch.
• Knowledge of different optimization methods (e.g. pruning, sparsity, quantization etc..).
• Experience with AI optimization tools (e.g. TensorRT).
• Very knowledgeable in Python and relevant numerical libraries (numpy, scikit-learn, opencv, etc.).
• Experience with CI/CD pipelines.
• Computer Vision.

Preferred Qualifications

• Advanced knowledge on AI-based optimization methods (QAT, Knowledge Distillation, Network Sparsification etc..).
• Knowledge of AWS cloud and experience with their services (EKS, ECS, ...) and docker.
• Knowledge of C++ and CUDA, and ideally experience writing custom kernels / operators.
• Data visualization experience would also be useful for this role.
• Excellent communicator - You are comfortable talking with programmers, marketers, surgeons, business leaders, and everyone in-between.
• Experience of working in video processing or equivalent performance sensitive or high-performance applications.

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

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).

Medtronic is an Equal Opportunity Employer.