DevOps Engineer

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<br />- Build and maintain CI/CD pipelines and DevOps workflows<br />- Implement observability, monitoring, and logging solutions<br />- Optimise performance, scalability, and cost efficiency<br />- Support AI teams with infrastructure, deployment, and integration<br />- Ensure platform security, compliance, and high availability<br />- Automate infrastructure using Infrastructure as Code (IaC) tools<br />- Troubleshoot and resolve platform issues Key Requirements - 5+ years' experience in Platform Engineering / DevOps<br />- Strong experience with AWS and cloud-native architectures<br />- Proven knowledge of CI/CD, automation, and DevOps best practices<br />- Experience with Kubernetes / containerisation technologies<br />- Strong programming skills (e.g.

Python, Go, Node.js)<br />- Experience with observability tools (e.g.

OpenTelemetry, Datadog)<br />- Understanding of security, performance optimisation, and scalability Desirable Skills - Experience working on AI / ML platforms or deployments<br />- Exposure to large-scale distributed systems<br />- AWS certifications In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is advertised based upon DGH Recruitment Limited having first sought approval of its client to find candidates for this position.

DGH Recruitment Limited acts as both an Employment Agency and Employment Business