A fantastic opportunity for a Senior Machine Learning Scientist to work for a health-tech software company developing advanced machine learning models used within clinical research. The organisation applies modern machine learning techniques to complex medical datasets to support better understanding of patient outcomes and treatment response.
This is a research-focused role, ideal for candidates who enjoy developing novel deep learning approaches and translating academic research into applied machine learning solutions. You will work on large-scale models and high-performance compute, with the opportunity to publish research while collaborating with engineering teams to ensure work can be taken forward into real-world use.
Location: 1 day per week in London, remainder remote (UK based)
Salary: £70,000 – £90,000 per annum, with flexibility for the right candidate, plus benefits
Requirements for Senior Machine Learning Scientist:
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 for Senior Machine Learning Scientist:
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
What the role offers:
A genuinely research-led machine learning position
Opportunity to publish high-quality research
Exposure to large-scale datasets and high-performance compute environments
Hybrid working with a remote-first setup
Competitive salary with flexibility for exceptional candidates
Applications:
If you would like to apply for this unique Machine Learning Scientist role then please send your CV via the relevant links.
We’re committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by separately emailing (if this email address has been removed by the job board, full contact details are readily available on our website).
Keywords: Senior Machine Learning Scientist / Machine Learning Scientist / Research Scientist / Applied Research Scientist / Machine Learning Researcher / AI Research Scientist / Computer Vision Scientist / Deep Learning Scientist / AI Scientist / ML Research Engineer / Python / PyTorch / Deep Learning / Computer Vision / 3D Imaging / Volumetric Imaging / Self-Supervised Learning / Representation Learning / Foundation Models / Segmentation / Classification / Regression / GPU Training / Distributed Training / Multi-GPU Training / High Performance Computing / Cloud Machine Learning / Linux