Machine Learning Engineer

The role involves developing and deploying machine learning models to support complex research in quantitative finance. Candidates will work on designing scalable systems, optimising model training, and evaluating hardware and software tools to improve process efficiency. The position requires strong programming skills in Python, PyTorch, and NumPy, with experience in optimisation, ML techniques, and performance profiling. Collaboration within a team of researchers and engineers is essential, involving communication of complex ideas and technical solutions. Applicants from diverse backgrounds, including competitive data science, are encouraged to apply, with no finance experience necessary. The environment emphasises exploration, innovation, and a healthy work-life balance with professional growth opportunities.