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 and containerisation technologiesStrong programming skills, for example Python, Go, or Node.jsExperience with observability tools, for example OpenTelemetry or DatadogUnderstanding of security, performance optimisation, and scalabilityExperience working on AI / ML platforms or deployments is desirableExposure to large-scale distributed systems is desirableAWS certifications are desirable 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 toolsTroubleshoot and resolve platform issues Technologies: AIAWSCI/CDCloudDatadogDevOpsSupportKubernetesOpenTelemetryPythonSecurityNodeJS More:
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.
last updated 29 week of 2026