Machine Learning Engineer

The role involves designing scalable systems and tools to support high-impact research in quantitative finance, focusing on complex machine learning problems and custom solutions. Candidates will work independently and in teams, tackling research questions using off-the-shelf and customised methods. Skills in Python, PyTorch, and NumPy, as well as experience with optimisation, HPC, and model inference are valued. Responsibilities include profiling architectures, developing models, and evaluating hardware and software in ML ecosystems. A postgraduate degree or equivalent experience in machine learning, data science competitions, or scientific computing is expected. The position offers an environment dedicated to exploration and collaboration, supporting professional growth in a technically advanced setting.