Senior Machine Learning Scientist

Overview

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

• Strong experience in research and development of computer vision machine learning models
• Experience implementing state-of-the-art deep learning models in Py Torch
• 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

• 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

• 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

If you would like to apply for this unique Machine Learning Scientist role then please send your CV via the relevant links.

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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