Machine Learning Engineer

G-Research states that they address complex problems in quantitative finance by applying scientific approaches to financial complexity. Based in London, they unite highly skilled researchers and engineers who focus on exploration and execution to develop a world-class platform for research and innovation. As a machine learning engineer, the role involves working on high-impact research, designing scalable systems, and developing custom solutions to enhance machine learning models. Candidates should have a strong background in machine learning, scientific computing, and programming, with experience in Python, PyTorch, and NumPy preferred. The position requires collaborative skills and the ability to develop bespoke models, with an emphasis on advanced optimisation methods and performance profiling. Candidates from non-financial backgrounds are encouraged to apply, and the role offers a competitive package with various staff benefits.