ML Research Engineer, London

Implement and optimise machine-learning systems for AI-driven drug discovery. Collaborate with research scientists on model development, distributed training, inference and evaluation, including architectures such as transformers, graph neural networks and diffusion models. The role combines experimental research with reliable engineering tools and full model-lifecycle work. Apply through the employer’s current vacancy; no fixed closing date is stated.

Master’s, PhD or equivalent practical experience in a relevant quantitative discipline; strong software engineering, algorithms and experience with JAX or PyTorch and modern deep learning.