ML Infrastructure Engineer (AI)

Location: Oxford, hybrid working available

Company

A world-leading AI research institute developing interdisciplinary, end-to-end solutions for scientific and societal challenges across areas including sustainable agriculture, healthcare, climate change, and artificial intelligence.

What you will do

• Design, deploy, and operate high-performance GPU compute clusters for large-scale ML training and inference.
• Engineer reliable, high-throughput data paths and optimize I/O performance, caching, and storage locality.
• Benchmark and troubleshoot compute, network, and orchestration bottlenecks.
• Implement observability, automation, and security practices for compliant and resilient AI research environments.
• Collaborate with research and data teams on capacity forecasting, resource management, and ML experimentation pipelines.
• Support the transition from traditional HPC systems to containerized and cloud-native infrastructure.

Requirements

• 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 understanding of infrastructure as code and CI/CD tooling, such as Terraform and 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 optimization.
• Background in scientific or research computing environments.

Culture & Benefits

• Collaborative, forward-thinking environment focused on innovation and inclusion.
• Access to modern facilities and advanced technology.
• Full-time permanent employment with comprehensive benefits.
• Enhanced holiday pay, pension, life assurance, and income protection.
• Private medical insurance, therapy services, electric car scheme, and wellbeing perks.

Hiring process

• Submit information about yourself and attach a CV.