Senior ML Compute & Platform Architect

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

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.