Machine Learning Engineer

The role involves developing scalable systems and tools to support high-impact research in quantitative finance. Candidates will work on implementing research ideas, optimise training processes, and profile machine learning architectures using modern tools. The position requires proficiency in Python, PyTorch, and NumPy, with experience in optimisation, HPC, and model inference preferred. The ideal candidate will have a postgraduate degree or equivalent experience, strong ML reasoning skills, and the ability to collaborate effectively in a team environment. Finance sector experience is not necessary, making this suitable for candidates from diverse technical backgrounds. The role offers extensive career development opportunities in an environment focused on scientific exploration and innovation.