Location: London / Flexible (Hybrid or Remote)
Contract: Full-time
We are a technology-focused company applying modern machine-learning techniques to problems in molecular science and early-stage drug discovery. Our goal is to translate recent advances in ML into practical tools that support scientific research and decision-making in real-world discovery programmes.
The team brings together experience in machine learning, software engineering, and the life sciences, and collaborates closely with internal scientific teams and external research partners.
This role focuses on applying machine-learning methods to scientific and molecular datasets, with an emphasis on building robust, usable solutions rather than purely exploratory research. You will work across the full lifecycle of applied modelling projects, from understanding scientific objectives through to model development, evaluation, and integration into downstream workflows.
You will collaborate with researchers and engineers across multiple disciplines, contributing both technical expertise and practical insight into how ML systems perform in applied scientific settings.
Applied Machine Learning/ Scientist • Greater London, England, GB
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