4 of 4 Distributed Computing Jobs in Oxford

a Head of Scientific Compute to shape the future of computational research by leading the development of cutting-edge infrastructure to support high-performance computing, AI-driven analytics, and large-scale data processing. Working at the intersection of genomics, synthetic biology, and chemistry, you'll collaborate with researchers and … teams to design tailored computational solutions, ensuring compliance with data management best practices. You'll recruit, mentor, and lead a multidisciplinary team while optimising computing resources for scalability and efficiency. Key Responsibilities: Lead the development and implementation of a strategic vision for scientific computing, integrating advanced technologies to … support large-scale data processing, high-performance computing, and AI-driven analytics in genomic research. Oversee and manage the scientific computing infrastructure, ensuring it meets the evolving needs of computational biology, data analysis, and laboratory automation across diverse research programs. Collaborate closely with researchers and technical teams to More ❯

regular system updates, patches, and security enhancements across supported environments. • Stakeholder Collaboration : Work directly with research staff to understand technical needs and deliver practical computing solutions tailored to their work. • Infrastructure Design : Design, implement, and maintain cloud-native and containerised infrastructure, with a focus on ML/AI research … Develop and maintain CI/CD pipelines to optimise the deployment and integration of research software. Essential Skills/Experience : • Proven experience managing enterprise computing platforms in Kubernetes environments. • Strong Linux and Windows system administration expertise. • Familiarity with high-performance computing (HPC) clusters and distributed computing More ❯

stability, system visibility, and efficient resource usage Take ownership of cloud environments (primarily AWS) , ensuring scalable, secure, and cost-effective architecture Lead and develop distributed engineering teams across platform, infrastructure, and data Build and maintain robust internal tooling and services that enhance developer workflows Promote a culture of automation … CI/CD pipelines (e.g. GitHub Actions) Interest or experience in developer productivity tools and AI-assisted engineering Understanding of network systems, protocols, or distributed computing challenges What's on Offer 💚 Salary up to £125k + equity + bonus 100% remote from anywhere in the UK Unlimited holiday More ❯

Our work environment rewards innovation, speed, and bold thinking. The role We’re hiring Senior and Staff Software Engineers to build the high-performance computing infrastructure that powers our Optical Tensor Processing Units (OTPUs). This isn’t just about scaling models—it’s about rethinking how AI workloads … are executed at speed and scale. You’ll lead the design and implementation of software systems that run distributed, low-latency inference across clusters. You’ll work closely with hardware and ML teams to optimise every layer of the stack—from model representation and execution to data movement and … AI infrastructure at serious scale, we’d love to talk. Responsibilities Design and build high-performance systems for running AI/ML workloads across distributed compute clusters Optimise for ultra-low latency and real-time inference at scale—profiling, tuning, and rewriting critical systems as needed Identify and resolve More ❯