software on GitHub, PyPI, Anaconda Cloud, and Docker Hub, as well as use of Pytorch lightning, Git, test-driven design. Knowledge of parallel computing technologies, such as NVIDIA's CUDA platform, OpenCL, and OpenMPI. The salary range for Cambridge, UK: - Senior Scientist I, Computational Biology: £75,000 - £117,500 Senior Scientist II, Computational Biology: £94,000 - £152,500 Exact More ❯
Familiarity with a broad range of ML techniques (computer vision, generative models, audio processing, etc.), or the ability to adapt quickly to new areas. Exposure to GPU programming (e.g., CUDA) is a plus. Ability to communicate complex technical ideas clearly to colleagues and stakeholders. Client-facing experience or a willingness to engage with stakeholders and project teams is highly More ❯
deploying machine learning onto a range of hardware from resource constrained embedded systems through to edge computing is desirable. As is any knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc). Your future colleagues will be similarly highly skilled, with experience across industry and the drive to innovate. You will find yourself in a low-management work More ❯
