Machine Learning Engineer

The role involves designing and developing systems to support high-impact research in quantitative finance, working with cutting-edge machine learning problems. Responsibilities include implementing research ideas, developing custom libraries for large-scale data training, and profiling ML architectures for performance optimisation. Candidates should possess strong programming skills in Python, PyTorch, and NumPy, with experience in advanced optimisation methods and hardware evaluation. The position requires collaboration with research teams to develop bespoke models and technical solutions, applying scientific computing techniques. Expertise in machine learning, HPC, and model inference is desirable, and candidates from diverse backgrounds are encouraged to apply. The environment fosters deep exploration, methodical execution, and work/life balance, providing competitive compensation, extensive annual leave, and healthcare benefits.