Machine Learning Engineer

The role involves designing and building scalable systems to support high-impact research in quantitative finance, using both existing tools and custom solutions. The candidate will collaborate with researchers to solve complex machine learning problems, employing advanced optimisation methods and high-performance computing techniques. Responsibilities include developing novel ML models, profiling architectures, and evaluating hardware and software to optimise model training and inference. The ideal candidate possesses strong programming skills in Python, PyTorch, and NumPy, and has experience in scientific computing and modern ML techniques. Applicants should have a postgraduate degree or significant experience in machine learning, with excellent communication and reasoning skills; finance experience is not required.