Graphcore

Infrastructure and MLOps Engineer

Graphcore
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27 days ago
Cambridge, United KingdomEntry Level / Mid Level
H1B Sponsor

Responsibilities

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

Requirements

  • Knowledge of Python is essential.
  • Familiarity with cloud services such as AWS is required.
  • Experience managing or developing in Linux environments is necessary.
  • Understanding of CI/CD principles is important.
  • Experience using Kubernetes (k8s) is required.
  • Experience maintaining machine learning applications or deploying ML orchestration tools is essential.

Benefits

  • Flexible working arrangements are offered.
  • Generous annual leave policy is included.
  • Private medical insurance and health cash plan are provided.
  • Dental plan and pension matched up to 5% are available.
  • Life assurance and income protection are included.
  • Generous parental leave policy and employee assistance programme are offered.

Tech Stack

Categories

AI & MLData EngineeringDevOps
Graphcore

About Graphcore

501-1,000 employees

At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.