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