Applied ML Scientist - Molecular Modelling & Life Sciences

S3 Science Recruitment; Greater London; Hybrid; GBP 60,000 - 100,000; Full time

Benefits offered by this job

Ownership over technical work

Competitive compensation package

Collaboration with multidisciplinary teams

Job summary

A technology-focused company in the UK seeks a professional to apply machine-learning methods to molecular datasets. The role requires experience in building robust solutions and collaboration with interdisciplinary teams. Responsibilities include designing modelling experiments, assessing model performance, and contributing to maintainable ML codebases. This position offers ownership over technical work and competitive compensation in a hybrid or remote working context.

Qualifications

• Hands-on experience applying machine-learning methods to real-world problems.
• Strong proficiency in Python and common ML frameworks.
• Experience writing production-quality or research-grade ML code.

Responsibilities

• Apply machine-learning techniques to problems in molecular modelling.
• Design and execute modelling experiments including dataset preparation.
• Work closely with scientists and engineers to support research objectives.

Skills

Experience applying machine-learning methods

Proficiency in Python

Experience with ML frameworks (e.g. PyTorch)

Background in applied or translational ML research

Job description

A technology-focused company in the UK seeks a professional to apply machine-learning methods to molecular datasets. The role requires experience in building robust solutions and collaboration with interdisciplinary teams. Responsibilities include designing modelling experiments, assessing model performance, and contributing to maintainable ML codebases. This position offers ownership over technical work and competitive compensation in a hybrid or remote working context.