About the job

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 RoleYou’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 ResponsibilitiesDesign, 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 Requirements5+ 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 SkillsExperience working on AI / ML platforms or deployments
• Exposure to large-scale distributed systems
• AWS certifications

…