Lead Platform Engineer

Overview-

This position will be to take ownership of the infrastructure systems that power cutting-edge machine learning evaluations. You'll have significant influence over the architecture, tools, and processes that support a growing research team focused on large-scale AI systems.

What You’ll Do-

• Design and maintain scalable, reliable infrastructure to support large language model evaluations using Infrastructure as Code (IaC) principles
• Evaluate, select, and integrate technologies that support deployment and scaling (e.g., determining whether to adopt container orchestration tools)
• Develop internal tools that interact with infrastructure for scheduling jobs, managing access, storing evaluation outputs, and more
• Partner closely with research staff to forecast and prepare for evolving system requirements, including high-performance compute environments
• Ensure the smooth execution of evaluations across the entire stack — from cloud services and orchestration layers to application code
• Manage cloud accounts, including provisioning resources, setting permissions, and optimizing for security and cost
• Contribute to the design and enforcement of security protocols across the organization
• Participate in growing and shaping a specialized infrastructure function as the team needs expand

Who We’re Looking For

• 8+ years of Programming in Python
• Someone with a Software Engineering background
• Proven ability to lead infrastructure planning through to final deployment
• 8+ years of Designing and Architecting Kubernetes in Production
• 5+ years of AWS experience
• Experience implementing security practices
• Experience working with Terraform
• Someone happy to travel to Central London 2x a week

Please apply with a detailed CV to be contacted!