Machine Learning Engineer – London

The role involves designing and developing scalable systems to support high-impact research in quantitative finance, with responsibilities including implementing research papers, creating custom libraries, and optimising machine learning operations. Candidates should possess strong programming skills in Python, PyTorch, and NumPy, along with experience in optimisation methods, HPC, profiling, and model inference. The position requires excellent reasoning and communication skills, with a focus on developing unique models within collaborative teams. A postgraduate degree or proven success in online data science competitions such as Kaggle is desirable, though candidates from non-financial sectors are encouraged to apply. The environment fosters deep exploration and methodical execution in a flexible work setting, supporting innovation and technical excellence.