Platform Engineer (DevOps / MLOps Focus)

Salary: £100,000 - 100,000 per year

Requirements:

• Strong commercial experience with Kubernetes.
• Hands-on experience building Infrastructure as Code using Terraform.
• Experience working with cloud platforms such as AWS, Azure or GCP.
• Experience with containerisation technologies including Docker.
• Strong understanding of CI/CD principles and DevOps best practices.
• Experience supporting highly available, scalable production environments.
• Experience with Kubeflow and ML platform tooling is desirable.
• Exposure to AI, machine learning or GenAI projects is desirable.
• Experience with observability tooling such as Prometheus, Grafana or OpenTelemetry is desirable.
• Experience working within regulated or enterprise environments is desirable.

Responsibilities:

• We build and manage cloud-native infrastructure to support AI and ML applications.
• We design and maintain Kubernetes environments for production workloads.
• We develop and manage Infrastructure as Code using Terraform.
• We support CI/CD pipelines and platform automation initiatives.
• We improve platform reliability, observability and scalability.
• We collaborate closely with Software Engineers, Data Engineers and ML teams to optimise deployment workflows and infrastructure performance.

Technologies:

• AI
• AWS
• Azure
• CI/CD
• Cloud
• DevOps
• Docker
• GCP
• Grafana
• Support
• Kubeflow
• Kubernetes
• Machine Learning
• OpenTelemetry
• Prometheus
• Terraform

More:

We are partnering with an organisation delivering a cutting-edge AI platform project. This is an opportunity to join a highly technical team building the cloud infrastructure and platform capabilities that power large-scale AI and machine learning solutions. You will play a key role in designing, building and maintaining scalable, secure and resilient platform infrastructure, enabling engineering and data teams to deploy and operate AI workloads efficiently. This is a fantastic opportunity to join a high-profile AI programme with significant investment and visibility, working alongside some of the brightest engineers in the industry to build the next generation of AI infrastructure.

last updated 32 week of 2026