Ellison Institute of Technology Oxford
Senior ML Infrastructure Engineer
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Join us at EIT:
At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, policy makers, and entrepreneurs to tackle humanity's greatest challenges in four transformative areas:
- Health, Medical Science & Generative Biology
- Food Security & Sustainable Agriculture
- Climate Change & Managing CO₂
- Artificial Intelligence & Robotics
This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas for lab to society. Explore more at www.eit.org
Your Role:
Join our SciComp team to build the cloud and compute foundation that enables scientific breakthroughs. Deliver reliable, secure platforms and self-service guardrails that accelerate experimentation and turn ideas into results - faster, at scale, and with confidence.
Your Responsibilities:
- Build, operate, and continuously optimise our high-performance GPU training and inference clusters, focusing on robust, high-availability scheduling, isolation, and automated lifecycle management.
- Drive systems design and implementation for high-throughput data paths, optimising I/O, caching, and data locality across compute and storage (including our current Lustre implementation).
- Proactively benchmark, profile, and resolve performance bottlenecks across the compute, network, and orchestration layers to maximise efficiency for distributed training and inference.
- Establish comprehensive observability, resilience, and automated security controls to ensure compliance and robust operation of sensitive research environments.
- Partner with Research, Data, and Applied teams to forecast capacity and cost for GPU and storage needs, setting quotas and streamlining ML experimentation pipelines.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Requirements
Essential Skills, Qualifications & Experience:
- Proven experience leading the design, build, and operation of high-performance ML compute clusters at scale
- A proactive, autonomous approach to systems design and the proven ability and desire to ideate, co-create and implement optimal solutions
- Exposure to migrating or transforming ML infrastructure from traditional schedulers to modern, containerised systems
- Expertise with high-throughput storage systems for ML/HPC workloads
- Expert-level understanding of GPU architecture, high-speed networking for distributed training, and performance profiling to resolve bottlenecks
- A solid grasp of IaC and CI/CD practices (e.g., Terraform, Argo CD)
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Benefits
We offer the following salary and benefits:
- Competitive salary (dependent on experience) + travel allowance + bonus
- Enhanced holiday. Our annual leave allowance is 25 days plus 8 bank holidays and an additional 3 days between Christmas and New Year. You will also have the opportunity to purchase an additional 5 days annual leave in January and July.
- Pension - Employer contribution 7.5%, minimum employee contribution 5%
- Life Assurance.
- Income Protection
- Private Medical Insurance as standard for you, your partner and any dependents. Including hospital Cash Plan
- Employee discounts
- Electric car scheme
- Nursery Salary Sacrifice scheme
- Cycle to Work Scheme
- Family Planning
- Neurodiversity support including advice and assessments
- Coaching & Therapy services
Why work for EIT:
You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case-by-case basis.
You will live in, or within easy commuting distance of, Oxford (or be willing to relocate) and can commit to being onsite at our Oxford office, a minimum of 3 days per working week.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location