Cambridge, Cambridgeshire, Staines, Surrey, United Kingdom
Redline Group Ltd
Smartphones, mobile CPU/GPU/NPU) Strong skills in Python, C/C++, and GNU/Linux environments Distributed and multi-GPU training experience Proficient with Git and GitHub workflows Why Join Us? Be part of an elite, forward-thinking AI team focused on real-world innovation Work at the forefront of AI commercialisation, where your research will impact More ❯
in the application of machine learning methods to biological data, including genomics, transcriptomics, epigenetics, proteomics, and imaging; Track record in open-source software development, e.g., demonstrated by high-impact GitHub repository; Track record of high-caliber scientific work, e.g., demonstrated through publications in peer-reviewed scientific journals or major ML conferences; Experience with one lower level language (not limited to More ❯
systems that build, test, and deploy our software Write smart automated tests using Playwright to make sure our web apps behave exactly how they should Work with tools like GitHub Actions to make our build and deployment process smooth and reliable Find ways to make our testing environments (hosted in Azure) faster and easier to use Do some hands-on … help us keep raising the bar for quality Who we're looking for: Automate our tests. You've worked with build systems or CI/CD tools before (maybe GitHub Actions, Jenkins, etc.) You have experience writing automated tests and love making sure software works right You're comfortable with a bit of manual testing too, especially when it comes More ❯
and assessing predictive models, analyzing biological networks, and analysis and visualization of -omics data. Maintain documentation and keep up-to-date as needed. Contribute to software releases (e.g. via GitHub, PyPI, Anaconda, Docker Hub). Who You Are The ideal candidate will be a strong collaborator with a background in dynamical systems and mathematical modeling of biological systems. Be able … scientific computing languages. Preferred Qualifications - Experience working with causal representation learning Experience with RAG (retrieval-augmented generation) and GraphRAG a big plus Experience with building and deploying 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 More ❯
