Infrastructure and MLOps Engineer

At Graphcore, a company building the future of AI compute, the team consists of semiconductor, software, and AI experts creating the complete AI compute stack from silicon and software to infrastructure at datacenter scale. Graphcore is part of the SoftBank Group and is expanding its teams globally to deliver key technology into the SoftBank AI ecosystem.

Essential:

• Knowledge of Python
• Familiarity with cloud services (e.g. AWS)
• Experience managing or developing in Linux environments
• Understanding of CI/CD principles
• Experience using Kubernetes (k8s)
• Experience with one of the following:
  • maintaining machine learning applications
  • deploying ML orchestration tools (e.g. NV Ray, KFP, SkyPilot)
  • managing ML accelerator hardware (e.g. DCGM)

Desirable:

• Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu)
• Experience with GitHub Actions
• Experience with modern observability tooling (e.g. Prometheus)
• Experience with Grafana
• Knowledge of Go/Java/C++ (or similar language)

• Develop, own, and maintain tools and services to support AI research and engineering teams
• Deploy and maintain services with Kubernetes and Docker
• Manage Cloud Infrastructure using tools such as Terraform

Applicants must hold the right to work in the UK. Visa sponsorship or support for visa applications is not provided at this time.