DevOps Engineer

Salary: £80, per year

• 5+ years experience in Platform Engineering / Dev Ops
• Strong experience with AWS and cloud-native architectures
• Proven knowledge of CI/CD, automation, and Dev Ops best practices
• Experience with Kubernetes and containerisation technologies
• Strong programming skills, for example Python, Go, or Node.js
• Experience with observability tools, for example Open Telemetry or Datadog
• Understanding of security, performance optimisation, and scalability
• Experience working on AI / ML platforms or deployments is desirable
• Exposure to large-scale distributed systems is desirable
• AWS certifications are desirable

• Design, deploy, and manage AI platforms and agent infrastructure
• Build and maintain CI/CD pipelines and Dev Ops 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 tools
• Troubleshoot and resolve platform issues

• AI
• AWS
• CI/CD
• Cloud
• Datadog
• Dev Ops
• Support
• Kubernetes
• Open Telemetry
• Python
• Security
• NodeJS

We are partnering with a leading organisation on a high-profile AI initiative and are seeking an experienced MLOps / Platform Engineer to build and scale infrastructure supporting advanced AI solutions. This is a full-time onsite role where you will work closely with Data Science and Engineering teams to design and operate a secure, scalable platform for deploying AI workloads and agents.

We offer the opportunity to contribute to a significant AI platform effort with strong focus on reliability, deployment pipelines, and infrastructure excellence.