At a Glance
- Tasks: Apply machine learning to molecular science and drug discovery projects.
- Company: Tech-focused company revolutionising scientific research with ML.
- Benefits: Competitive salary, equity participation, and flexible working options.
- Other info: Join a dynamic team with ownership over your technical work.
- Why this job: Make a real impact in science using cutting-edge machine learning techniques.
- Qualifications: Experience in machine learning, Python, and interdisciplinary collaboration.
The predicted salary is between 36000 - 60000 £ per year.
Location: 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
Applied Machine Learning/ Scientist in London employer: S3 Science Recruitment
Join a pioneering team in Milton Keynes as a Production Technician, where you will play a vital role in advancing scientific research and making impactful discoveries. Our client fosters a collaborative work culture that prioritises safety and compliance, while offering robust training and development opportunities to enhance your skills in a dynamic environment. With a commitment to employee growth and a hands-on approach to working with live virus vaccine equipment, this position not only promises a competitive salary but also the chance to contribute meaningfully to groundbreaking projects.
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We think this is how you could land Applied Machine Learning/ Scientist in London
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We think you need these skills to ace Applied Machine Learning/ Scientist in London
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