Role Overview

We are currently looking for a Machine Learning Engineer to join a pioneering research organisation dedicated to advancing drug discovery through innovative approaches to disordered proteins. This is an exciting opportunity for a candidate with a strong industrial background and a passion for applying machine learning to complex biological problems. Based at their modern facility, you will play a key role in driving forward cutting-edge research in a dynamic, open-source environment.

In this position, you will be responsible for developing and deploying machine learning models specifically tailored to tackle the challenges presented by highly dynamic and disordered proteins, with a particular focus on NMR data. You will work independently within a small, autonomous team, influencing research directions and interpreting self-generated data to uncover new insights in this emerging scientific frontier.

Key Duties And Responsibilities

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

• Develop and implement machine learning models to analyse complex biological data, particularly focusing on disordered proteins.
• Collaborate with scientific teams to interpret data, draw insights, and refine experimental approaches based on model findings.
• Engage directly with real biological problems, balancing modelling expertise with practical, applied research.
• Use your technical knowledge to drive projects independently within a small, open-source environment, ensuring results are meaningful and impactful.
• As the Machine Learning Engineer, you will be pivotal in translating scientific challenges into effective computational solutions.