Machine Learning Engineer – London

Based in London, the role involves designing scalable systems that support high-impact research in quantitative finance. The engineer will collaborate with researchers to develop and optimise machine learning models and architectures, using both off-the-shelf and bespoke solutions. Responsibilities include implementing research ideas, creating efficient training libraries, and profiling hardware and software for performance improvements. Candidates must possess strong object-oriented programming skills, experience with Python, PyTorch, and NumPy, and a solid understanding of advanced optimisation methods and HPC. Excellent reasoning and communication abilities are essential for working in a collaborative environment. Candidates from diverse backgrounds are encouraged to apply, with no prior finance experience required.