3 of 3 Permanent Health Technology Jobs in Cambridgeshire

Cure Talent is proud to partner with a pioneering medical device company developing cutting-edge wearable and connected health technology thats transforming how specific physiological conditions are monitored and managed. Their intelligent devices are redefining possibilities in patient care, blending innovative design with real-world impact. As part of their continued growth, they are now seeking a highly … an exceptional opportunity to join a mission-driven company at the forefront of connected healthcare innovation. Youll play a key role in shaping the digital platform behind life-changing technology and enjoy the collaborative spirit of a growing, ambitious team. More ❯

Cure Talent is proud to partner with a pioneering medical device company developing cutting-edge wearable and connected health technology thats transforming how specific physiological conditions are monitored and managed. Their intelligent devices are redefining possibilities in patient care, blending innovative design with real-world impact click apply for full job details More ❯

Machine Learning Engineer – On-Device Health Monitoring Cambridge (1 day a week) Up to £80,000 + Equity + Benefits About the Role We’re working with a pioneering health-tech start-up that’s transforming the way we measure human health through sound. Their mission is to create the world’s leading foundation model for turning … sound into health insights — enabling preventative health monitoring through devices people already own. They’re now looking for a Machine Learning Engineer to build and optimise on-device ML models for health and biosignal monitoring, helping take their technology from proof of concept to a production-ready product. You’ll be at the forefront of developing … offers full exposure to the early-stage startup experience — from prototyping and experimentation to strategic product decisions. Key Responsibilities Develop, optimise, and deploy machine learning models for on-device health monitoring. Experiment with architectures and apply techniques such as quantisation, pruning, and compression to improve efficiency. Collaborate with cross-functional teams to take research prototypes into production-ready systems. More ❯