Machine Learning Scientist

14707PermanentCompetitive Hybrid Cambridge, Cambridgeshire, United Kingdom Updated on: 16-07-2025

ROLE OVERVIEW

We are currently looking for a Machine Learning Scientist to join a leading pharmaceutical company based in the Cambridge area. As the Machine Learning Scientist, you will be responsible for driving the development of innovative machine learning methods for structure-based drug discovery.

KEY DUTIES AND RESPONSIBILITIES:

Your duties as the Machine Learning Scientist will be varied however the key duties and responsibilities are as follows:

1. Design and implement ML models for structure-based design, including protein-ligand interaction modelling and co-folding applications.

2. Develop and extend AI approaches that integrate structural and chemical data to improve virtual screening and molecular design workflows.

3. Leverage proprietary structural datasets to train, benchmark, and validate new algorithms.

4. Collaborate closely with cross-functional teams to ensure effective translation of research into production-ready solutions.

ROLE REQUIREMENTS:

To be successful in your application to this exciting role as the Machine Learning Scientist we are looking to identify the following on your profile and past history:

1. Relevant degree in a technical discipline (e.g., computer science, chemistry, physics, engineering).

2. Proven industry experience in machine learning, including deep learning and/or generative models.

3. A working knowledge and practical experience with modern ML frameworks (e.g., PyTorch, TensorFlow, or JAX).

Key Words: Machine Learning Scientist / Structure-based Drug Discovery / Protein-Ligand Interaction / Computational Chemistry / AI Techniques / Molecular Modelling / Virtual Screening / Deep Learning / Generative Models / Python

Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer. We welcome applications from anyone who meets the role requirements. HRS exclusively supports the STEM sectors, combining recruitment expertise with scientific knowledge to help you advance your career.

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