Senior MLOps Engineer

Published:

Salary:

Location:

Oxford

Category:

Permanent

Sector:

Data

Reference:

4791

Work Model:

Hybrid

Description

Senior MLOps Engineer Location:  Hybrid – Oxford (2 days per week)

Salary:  £120,000-£150,000 + Excellent Benefits

Are you passionate about building cutting-edge infrastructure that powers world-class machine learning research? We’re partnering with a pioneering organisation at the forefront of science and technology to find a  Senior MLOps Engineer  who will play a key role in designing and operating high-performance ML platforms.

This is your chance to join a team that’s shaping the future of AI and scientific innovation. You’ll be part of a collaborative environment where experimentation is accelerated through robust, secure, and scalable infrastructure. If you thrive on solving complex challenges and want to make a global impact, this role is for you.

• Design, build, and optimise  GPU training and inference clusters  for large-scale ML workloads.
• Implement  high-throughput data pipelines , focusing on I/O optimisation, caching, and data locality.
• Drive performance benchmarking and resolve bottlenecks across compute, network, and orchestration layers.
• Establish  observability, resilience, and automated security controls  for sensitive research environments.
• Collaborate with research and data teams to forecast capacity and streamline ML experimentation pipelines.

• MLOps & DevOps:  Kubernetes, Docker, Terraform, Argo CD, CI/CD pipelines.
• Cloud Platforms:  AWS, Azure, GCP (cloud-agnostic approach).
• Storage & Compute:  Lustre, high-throughput storage systems, GPU architecture, high-speed networking.

• Proven experience designing and operating  ML compute clusters at scale .
• Strong knowledge of  GPU architecture  and distributed training environments.
• Expertise in  IaC  and containerised systems.
• Ability to work autonomously and collaboratively in a fast-paced, innovative setting.

• Work on projects that have a  global impact .
• Join a culture that values creativity, collaboration, and continuous learning.
• Enjoy a comprehensive benefits package including private medical insurance, enhanced holiday, pension, and more.

Ready to take the next step in your career? Apply today and be part of a team that’s redefining what’s possible in AI and scientific innovation. Send us your CV or get in touch to learn more – your future starts here!