Lead LLM/ML Ops

Lead AI Platform Engineer - LLMOps / MLOps - Remote 6-month initial contract with potential for FTE conversion We're looking for a hands-on AI Platform Engineer with strong LLMOps/MLOps and DevOps 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. What you'll be doing: • 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 What we're looking for: • Strong hands-on experience building and operating production AI/ML infrastructure • Solid DevOps/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 third parties please and no sponsorship available