Senior AI Engineer — Edge & Cloud Vision

Medtronic plc; Greater London; Sur place; GBP 77 000 - 115 000; Plein temps

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

Deep learning

PyTorch

Video understanding

Model optimization

Python

Formation

Master's or PhD in CS/ML/CV

Outils

TensorRT

AWS

Docker

Kubernetes

OpenCV

Description du poste

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