Stanford Black Limited, London, is seeking an ML infrastructure engineer to design and optimize large-scale training and inference systems. You will work with researchers to scale ML workloads across a GPU estate, spanning software, hardware, networking, and compilers.
The role offers significant autonomy, collaboration with researchers, and a focus on performance across distributed systems. Strong Python/C++ engineering and experience with PyTorch/TensorFlow are expected, with opportunities to
#J-18808-LjbffrML Infrastructure Engineer - Distributed Systems & HPC employer: Stanford Black Limited
Join a leading systematic trading firm in London, where you'll thrive in a technology-led culture that fosters innovation and collaboration. With a flat organisational structure and direct access to senior leadership, you'll have the opportunity to make a meaningful impact while working on challenging infrastructure projects. Enjoy exceptional benefits including free meals, a generous pension scheme, and a strong focus on work-life balance, all within a vibrant new HQ equipped with modern amenities.
