About this role
Salary: £80,000 - 100,000 per year
Requirements: 5+ years experience in Platform Engineering / DevOpsStrong experience with AWS and cloud-native architecturesProven knowledge of CI/CD, automation, and DevOps best practicesExperience with Kubernetes / containerisation technologiesStrong programming skills (e.g. Python, Go, Node.js)Experience with observability tools (e.g. OpenTelemetry, Datadog)Understanding of security, performance optimisation, and scalabilityExperience working on AI / ML platforms or deploymentsExposure to large-scale distributed systemsAWS certifications Responsibilities: Design, deploy, and manage AI platforms and agent infrastructureBuild and maintain CI/CD pipelines and DevOps workflowsImplement observability, monitoring, and logging solutionsOptimise performance, scalability, and cost efficiencySupport AI teams with infrastructure, deployment, and integrationEnsure platform security, compliance, and high availabilityAutomate infrastructure using Infrastructure as Code (IaC) toolsTroubleshoot and resolve platform issues Technologies: AIAWSCI/CDCloudDatadogDevOpsSupportKubernetesMLOpsOpenTelemetryPythonSecurityNodeJS More:
We are 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. You will 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 to ensure robust infrastructure, seamless deployment pipelines, and high platform reliability. The role is 3 days per week onsite.
last updated 37 week of 2026