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Posted on Tue, 4 Nov 2025 Location: Oxford (hybrid working available) Type: Full-time, permanent Salary: Competitive with comprehensive benefits About the Organisation This world-leading AI research firm is reimagining how science and innovation translate into real-world impact. Through interdisciplinary collaboration and cutting-edge facilities, the institute develops end-to-end solutions that tackle humanity’s most complex challenges, from sustainable agriculture and healthcare to climate change and artificial intelligence. They providing state-of-the-art laboratories and collaborative environments designed to accelerate discovery and application at scale. The Role The institute is seeking an experienced ML Infrastructure Engineer to join its growing compute and platform engineering team. You’ll play a pivotal role in developing and operating the high-performance cloud and compute backbone that powers large-scale machine learning and scientific discovery. This is a hands-on, high-impact role where you’ll design and optimise GPU infrastructure, improve performance across compute and storage layers, and ensure scalability, resilience, and security across AI research environments. What You’ll Do Design, deploy, and operate high-performance GPU compute clusters for large-scale ML training and inference. Engineer reliable, high-throughput data paths, optimising I/O performance, caching, and storage locality. Benchmark and troubleshoot compute, network, and orchestration bottlenecks to maximise performance. Implement observability, automation, and security practices that support compliant, resilient environments. Collaborate with research and data teams to forecast capacity, manage resources, and streamline ML experimentation pipelines. Support the transition from traditional HPC systems to modern, containerised, and cloud-native infrastructure. What We’re Looking For Required Proven experience designing, building, and maintaining large-scale ML or HPC compute infrastructure. Deep understanding of GPU architecture, distributed training, and high-speed networking. Expertise with high-throughput or parallel storage systems for ML/HPC workloads. Solid grasp of IaC and CI/CD tooling (e.g. Terraform, Argo CD). Proactive, self-directed approach with strong systems design and problem-solving skills. Nice to Have Familiarity with Lustre or similar distributed file systems. Experience with performance benchmarking, profiling, and cost optimisation. Background in scientific or research computing environments. Why Join? Help build the infrastructure driving breakthrough AI and scientific research. Work in a collaborative, forward-thinking environment that values innovation and inclusion. Access modern facilities and advanced technology in a rapidly growing institute. Competitive salary and comprehensive benefits, including: Enhanced holiday pay Pension, life assurance, and income protection Private medical insurance and therapy services Electric car scheme and wellbeing perks Apply for this role: Advertised By: Kiera Johnson Share this role: Similar Opportunities Product Senior Recruitment Consultant – AI Product & Programme (UK) Grow a specialist recruitment desk across product and programme hiring within the UK AI market. Artificial Intelligence Internal Manchester Software Platform Engineer A rapidly scaling biotech company leveraging AI and large-scale biological data to drive discovery across genomics, therapeutics, nutrition, and agriculture. Artificial Intelligence London Product Technical Program Manager By combining a proprietary multi-billion-gene dataset with advanced AI and machine learning, this firm is redefining what is possible in genomics, therapeutics, nutrition, and agriculture. Artificial Intelligence London Software Software Engineer Join this fast-growing London-based biotech operating at the cutting-edge of AI research and biological discovery.