Cambridge, Cambridgeshire, East Anglia, United Kingdom
CURE TALENT LIMITED
Cure Talent is proud to partner with a pioneering medical device company developing cutting-edge wearable and connected healthtechnology 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 ❯
Cambridge, Cambridgeshire, England, United Kingdom Hybrid / WFH Options
Technical Futures Ltd
you will bring good customer facing skills and a strong academic background. Project Managers with a career spanning a range of industry sectors from Defence and Space to Consumer, Health-tech and Security would be highly beneficial. The Software Project Manager will take responsibility for planning and delivering a range of software led projects, working closely with electronics or More ❯
Cambridge, Cambridgeshire, East Anglia, United Kingdom Hybrid / WFH Options
Client Server
Engineer (Full Stack Python React) Cambridge to £70k Are you a bright, ambitious Software Engineer with start-up experience who enjoys taking ownership and working with a range of technology across the full stack? You could be progressing your career in an impactful role at a growing 'tech for good' start-up that is using AI technology to … ensure compliance and efficiencies within the NHS and Health sector, with plans to expand to other regulated industries. As a Founding Engineer you'll work closely with the founders and a small technology team to design and develop scalable end-to-end solutions working across the full software development lifecycle through to CI/CD and deployment to 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 ❯
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 ❯