Senior MLOps Engineer

Senior MLOps Engineer

Location: Hybrid – Oxford (2 days per week)

Salary: £140,000-£240,000 + 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.

The Opportunity

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.

What You’ll Do

• 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.

Tech Stack & Tools

• 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.

What We’re Looking For

• 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.

Why Apply?

• 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!