Machine Learning Engineer

An engineering role focused on developing scalable systems and tools to enhance machine learning research in a financial environment. The position involves designing, implementing, and optimising machine learning models and architectures with a mix of off-the-shelf and customised solutions. Candidates should have strong programming skills in Python, PyTorch and NumPy, and experience with optimisation techniques, high-performance computing and model inference. Excellent communication and reasoning skills are essential for working collaboratively on complex problems. The role does not require finance experience, welcoming applicants from diverse backgrounds in science and data science.