Machine Learning Engineer

Job Title: Machine Learning Engineer, Protein Design Location: London (Hybrid) Salary: Up to £120,000 DOE A well-funded biotechnology company working at the frontier of AI-driven protein design is looking for a Machine Learning Engineer to help build and deploy the systems that power their discovery platform. This is a hands-on engineering role sitting at the intersection of machine learning and structural biology. You will work closely with ML scientists and computational biologists to take research prototypes into production, building scalable infrastructure for training, inference, and evaluation across molecular and protein datasets. The problems are genuinely hard and the domain is one of the most exciting applications of ML in science today. What we are looking for * MSc or PhD in Computer Science, Machine Learning, Computational Biology, Bioinformatics, or a related field, or equivalent industry experience * Strong Python software engineering skills with experience in PyTorch or JAX * Demonstrable experience deploying ML models into production environments * Knowledge of MLOps, containerisation, Docker, CI/CD, cloud platforms, and model serving * Experience optimising model training and inference for performance and scalability * Comfortable working in a fast-moving, multidisciplinary environment alongside scientists and engineers Particularly strong candidates will also have * Experience working with protein structures, molecular datasets, or biological sequence data * Familiarity with graph neural networks, geometric deep learning, equivariant architectures, or diffusion models applied to proteins * Experience with distributed training, GPU optimisation, or high performance computing * Knowledge of protein structure prediction, docking, or generative models for protein design * Familiarity with tools such as AlphaFold, RoseTTAFold, or similar structure prediction frameworks Why this role You will be joining a team using machine learning to solve one of the hardest problems in biology, with real scope to influence how the engineering infrastructure is built and scaled. The salary reflects both the seniority and the domain expertise expected. This role requires existing right to work in the UK. If your background fits, apply below.