We’re looking for a Research Scientist (Machine Learning) to join an ambitious and interdisciplinary team applying AI to transform drug discovery and accelerate the development of life-changing medicines.

This is a chance to work on cutting-edge ML research with direct real-world impact, in a collaborative environment where innovation and creativity are encouraged.

This role will off you

• Work at the intersection of AI and life sciences with high-impact applications.
• Hybrid working (3 days per week in the London office).
• A collaborative, inclusive culture with opportunities for growth and leadership.

What you’ll do

• Design and develop novel ML models and algorithms.
• Apply deep learning and generative modelling to complex scientific problems.
• Collaborate with experts across biology, chemistry, physics, and engineering.
• Analyse, tune, and optimise experimental results.
• Depending on experience: lead projects, mentor others, and shape research strategy.

What you’ll bring

• PhD (or equivalent experience) in ML, computer science, or a related field.
• Proven expertise in deep learning research and model development.
• Strong knowledge of mathematics (linear algebra, calculus, statistics).
• Experience with ML frameworks such as PyTorch, TensorFlow, or JAX.
• A passion for applying ML to real-world scientific challenges.

Nice to have

• Experience working with biological or chemical data.
• Familiarity with large-scale deep learning, generative models, GNNs, RL, or computer vision.
• Contributions to publications, research projects, or open-source ML.