Machine Learning Engineer

Based in London, the role involves developing scalable systems and tools for high-impact research in quantitative finance. The engineer will work on implementing innovative machine learning models using both off-the-shelf and custom solutions, often collaborating with research teams to address complex mathematical problems. Skills required include programming in Python, knowledge of PyTorch and NumPy, and experience with optimisation and HPC techniques. The position demands strong analytical, modelling, and communication skills, with a focus on developing bespoke solutions in a team environment. Candidates from diverse backgrounds, including non-finance, with proven success in data science competitions are encouraged to apply.