Lead LLM​/ML Ops

6-month initial contract with potential for FTE conversion

We're looking for a hands-on AI Platform Engineer with strong LLMOps/MLOps and Dev Ops experience to help build and operate production-grade AI infrastructure within an AWS environment.

You'll work across engineering, data/AI, architecture and external development teams to create scalable, secure and repeatable AI platform capabilities.

• Build and operate production AI/ML infrastructure, preferably within AWS
• Design and maintain CI/CD pipelines, infrastructure as code, automation and monitoring
• Develop LLMOps capabilities covering model deployment, prompt/version management, evaluation, observability and guardrails
• Manage MLOps processes including model lifecycle management, deployment, monitoring, drift detection and retraining
• Establish repeatable deployment and promotion processes across development, test and production
• Optimise AI workloads for latency, scalability, reliability, token consumption and cost
• Implement appropriate security, access controls, data protection and governance
• Build reusable platform capabilities that allow application teams to integrate AI without managing the underlying infrastructure
• Partner closely with application engineers, data/AI teams, architects and external development partners

• Strong hands-on experience building and operating production AI/ML infrastructure
• Solid Dev Ops/SRE background
• Experience with LLMOps and/or MLOps in production environments
• Strong AWS and cloud engineering experience
• Experience with CI/CD, IaC, automation, observability and production support
• Understanding of enterprise AI security and governance
• Ability to build scalable, reusable platform capabilities rather than one-off solutions
• Comfortable working across engineering, AI/data and architecture teams

No sponsorship available.