Senior ML Infrastructure Engineer

Ellison Institute of Technology Oxford; Oxford; On-site; GBP 60,000 - 80,000; Full time

Benefits offered by this job

Enhanced holiday pay

Pension

Life Assurance

Income Protection

Private Medical Insurance

Hospital Cash Plan

Therapy Services

Perk Box

Electric Car Scheme

Job summary

A leading technology institute in Oxford is seeking an experienced MLOps engineer to enhance cloud platforms for scientific breakthroughs. You will design and optimise high-performance ML compute clusters while working collaboratively with research teams. Candidates should demonstrate expertise in GPU architecture and ML infrastructure. This full-time position offers a supportive and inclusive work environment with competitive benefits.

Qualifications

• Proven experience leading the design, build, and operation of high-performance ML compute clusters at scale.
• Proactive, autonomous approach to systems design and implementation of optimal solutions.
• Expert-level understanding of GPU architecture and performance profiling.

Responsibilities

• Build, operate, and optimise high-performance GPU training and inference clusters.
• Drive systems design for high-throughput data paths.
• Establish observability and security controls for sensitive environments.

Skills

High-performance ML compute clusters

Systems design

Data locality

GPU architecture

IaC and CI/CD practices

High-throughput storage systems

Tools

Terraform

Argo CD

Lustre

Job description

4 days ago Be among the first 25 applicants

The Ellison Institute of Technology (EIT) Oxford's purpose is to have a global impact by fundamentally reimagining the way science and technology translate into end-to-end solutions and delivering these solutions in programmes and platforms that respond to humanity's most challenging problems.

EIT Oxford will ensure scientific discoveries and pioneering science are turned into products for the benefit of society that can have high-impact worldwide and, over time, be commercialised to ensure long-term sustainability.

Set for completion in 2027, the EIT Campus in Littlemore will include more than 300,000 sq ft of research laboratories, educational and gathering spaces. Fuelled by growing ambition and the strength of Oxford's science ecosystem, EIT is now expanding its footprint to a 2 million sq ft Campus across the western part of The Oxford Science Park. Designed by Foster + Partners led by Lord Norman Foster, this will become a transformative workplace for up to 7,000 people, with autonomous laboratories, purpose-built laboratories including a plant sciences building and dynamic spaces to spark interdisciplinary collaboration.

Our MLOps team

Join our MLOps 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.

Day-to-day, you might:

• 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.

What makes you a great fit:

• 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)

It would also be great if you had:

• Experience with Lustre

Benefits

• Enhanced holiday pay
• Pension
• Life Assurance
• Income Protection
• Private Medical Insurance
• Hospital Cash Plan
• Therapy Services
• Perk Box
• Electric Car Scheme

Why work for EIT

At the Ellison Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. We value emotional intelligence, empathy, respect, and resilience, and encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact!

Seniority Level

Mid-Senior level

Employment type

Full-time

Job function

Other

Industries

IT Services and IT Consulting