Salary: £70,000 - 90,000 per year Requirements: Strong experience in research and development of computer vision machine learning models Experience implementing state-of-the-art deep learning models in PyTorch Experience training large models across multiple GPUs and compute nodes Deep understanding of machine learning theory including linear algebra, probability, statistics and optimisation Experience with deep learning for computer vision, ideally including 3D imaging and/or self-supervised learning Strong Python and PyTorch skills, with the ability to read and write high-quality training code Experience writing and maintaining production-grade Python code, including optimising training performance Experience working with modern development workflows including pull requests, code reviews, documentation and ticketing Experience working in cloud environments Strong Linux and Git skills alongside modern Python development tooling Proactive, self-sufficient and communicative working style Strong English written and verbal communication skills MSc or PhD in Computer Science or a closely related subject Responsibilities: Research and develop advanced deep learning and computer vision models applied to complex medical data Work on self-supervised pre-training and supervised learning tasks such as segmentation, classification and regression Translate academic research into robust and usable machine learning solutions Publish research outcomes in leading conferences and journals Collaborate with engineering teams to support downstream deployment and application of models Keep up to date with developments in machine learning research and apply them where appropriate Technologies: 3D Cloud Computer Vision Git Support Linux Machine Learning PyTorch Python AI More: We are a health-tech software company focused on developing advanced machine learning models for clinical research. We offer a genuinely research-led position with the opportunity to publish high-quality research, exposure to large-scale datasets, and high-performance compute environments. This role is hybrid, allowing for remote work primarily, while requiring one day per week in London. We offer a competitive salary, with flexibility for exceptional candidates, alongside a commitment to creating an inclusive and accessible workplace. last updated 6 week of 2026