Applied Machine Learning/ ScientistS3 Science Recruitment • London, England, United Kingdom
Applied Machine Learning/ Scientist
S3 Science Recruitment
- London, England, United Kingdom
- London, England, United Kingdom
Über
London / Flexible (Hybrid or Remote)
Contract:
Full-time
About the organisation 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.
The role 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.
Key responsibilities
Apply machine-learning techniques to problems in molecular modelling and computational life sciences
Design and execute modelling experiments, including dataset preparation, model training, fine-tuning, and evaluation
Translate scientific questions into well-defined modelling approaches
Contribute to the development of maintainable, reproducible ML codebases
Work closely with scientists, engineers, and other stakeholders to support research objectives
Assess model performance and identify areas for improvement in applied settings
Requirements
Hands-on experience applying machine-learning methods to real-world problems
Experience working with biological, chemical, or scientific data
Strong proficiency in Python and common ML frameworks (e.g. PyTorch)
Experience writing and maintaining production-quality or research-grade ML code
Experience working in interdisciplinary teams
Exposure to collaborative projects with external partners
Background in applied or translational ML research
What’s on offer
Opportunity to work on applied ML problems in a scientific discovery context
High degree of ownership over technical work
Collaboration with a multidisciplinary technical and scientific team
Competitive compensation package, including equity participation
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Sprachkenntnisse
- English
Hinweis für Nutzer
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