DevOps Engineer
Summary
Build and scale the infrastructure for an AI platform, deploying models and agents, automating CI/CD, and ensuring reliability and security.
MLOps Engineer (Platform / DevOps) - AI Platform - FULL TIME ONSITE
We're partnering with a leading organisation on a high-profile AI initiative, seeking an experienced MLOps / Platform Engineer to build and scale infrastructure supporting advanced AI solutions.
The Role
You’ll play a key role in designing and operating a secure, scalable platform for deploying AI workloads and agents. Working closely with Data Science and Engineering teams, you’ll ensure robust infrastructure, seamless deployment pipelines, and high platform reliability.
Key Responsibilities
- Design, deploy, and manage AI platforms and agent infrastructure
- Build and maintain CI/CD pipelines and DevOps workflows
- Implement observability, monitoring, and logging solutions
- Optimise performance, scalability, and cost efficiency
- Support AI teams with infrastructure, deployment, and integration
- Ensure platform security, compliance, and high availability
- Automate infrastructure using Infrastructure as Code (IaC) tools
- Troubleshoot and resolve platform issues
Key Requirements
- 5+ years' experience in Platform Engineering / DevOps
- Strong experience with AWS and cloud-native architectures
- Proven knowledge of CI/CD, automation, and DevOps best practices
- Experience with Kubernetes / containerisation technologies
- Strong programming skills (e.g. Python, Go, Node.js)
- Experience with observability tools (e.g. OpenTelemetry, Datadog)
- Understanding of security, performance optimisation, and scalability
Desirable Skills
- Experience working on AI / ML platforms or deployments
- Exposure to large-scale distributed systems
- AWS certifications