G-Research is seeking an exceptional ML Performance Engineer to optimise large-scale workloads across GPU and CPU infrastructure. You will profile and tune training/inference workloads, develop reference implementations and collaborate with research and platform teams to evolve the compute stack.
The role shapes platform evolution and enables researchers to push the boundaries of machine learning. You will work with Python, CUDA, Kubernetes, and deep learning frameworks like PyTorch, applying
#J-18808-Ljbffr
ML Performance Engineer – Scale GPU/CPU Workloads in London employer: Barlowe LLP
G-Research is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. With a strong focus on employee growth, we provide ample opportunities for professional development and hands-on experience with cutting-edge technologies. Our culture fosters teamwork and creativity, making it an ideal place for those looking to make a meaningful impact in the field of network engineering.
