Machine Learning Scientist

Platform Recruitment; Greater London; On-site; GBP 90,000 - 110,000; Full time

Job summary

Platform Recruitment in London is seeking an exceptional ML Scientist to develop next-generation AI methods for molecular and protein discovery, blending research with engineering proximity.

You will develop novel ML methods for molecules, proteins and biological systems, translating ideas into practical tools that accelerate scientific discovery, with a strong track record of research impact.

Qualifications

• PhD or equivalent research experience in ML or related field.

Responsibilities

• Develop novel ML methods for molecules, proteins and biological systems.
• Translate ideas into practical tools that accelerate scientific discovery.
• Work closely with engineers to move research from concept to production.
• Demonstrate a strong track record of research impact across publications or equivalent achievements.

Skills

Python

PyTorch

Graph neural networks

Transformer architectures

Diffusion models

Research leadership

Communication

Education

PhD in Machine Learning/CS/Computational Biology/Physics/Mathematics

Job description

Job Title: ML Scientist (Molecular AI)

Location: London (Hybrid)

Salary: Up to £100,000 DOE

A well-funded life science technology company is looking for an exceptional Machine Learning Scientist to develop next-generation AI methods for molecular and protein discovery.

This is a research role with real engineering proximity. You will develop novel ML methods for molecules, proteins, and biological systems, working closely with engineers to translate new ideas into practical tools that accelerate scientific discovery. The team values strong scientific contributions and a genuine track record of research impact.

What we are looking for

• PhD in Machine Learning, Computer Science, Computational Biology, Physics, Mathematics, or a related discipline, or equivalent research experience
• A strong publication record at premier ML conferences such as NeurIPS, ICML, ICLR, AISTATS, or CVPR, or research achievements of comparable quality
• Deep understanding of modern deep learning methods including graph neural networks, transformer architectures, and diffusion models
• Strong Python and PyTorch programming skills
• The ability to independently drive research from idea through to implementation
• Excellent communication and collaboration skills across technical and scientific teams

Particularly strong candidates will also have

• Experience with 3D machine learning, geometric deep learning, or spatial representations
• Experience working with molecular structures, proteins, drug discovery, or computational chemistry
• Familiarity with molecular generation, protein modelling, docking, or structure prediction
• Experience scaling experiments and collaborating with engineering teams to move research into production

Why this role

You will be working at the frontier of AI for scientific discovery, on problems that matter, alongside a team that takes both the science and the engineering seriously. The role sits at the intersection of original research and practical impact, with real scope to shape the direction of the work.

This role requires existing right to work in the UK. Visa sponsorship is not available.