Infrastructure and MLOps Engineer

Graphcore

Greater London

On-site

GBP 65,000 - 90,000

Full time

14 days+
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Benefits offered by this job

Private medical insurance
Dental plan
Pension (matched up to 5%)
Life assurance
Income protection
Flexible working

Job summary

Graphcore is looking for a Software Infrastructure Engineer to scale and manage our infrastructure tooling. You will enhance build, test, deployment, and productisation processes for ML software on HPC platforms, enabling distributed systems across the team.

You’ll work with Kubernetes, Terraform, and CI/CD practices, shaping cloud infrastructure, observability, and ML workflow orchestration within a flexible hybrid UK setup.

Qualifications

  • Strong Python development experience in distributed AI/ML environments.
  • Experience with cloud services (AWS) and Linux systems.
  • Solid understanding of CI/CD principles and tooling.
  • Familiarity with Kubernetes and infrastructure as code.
  • Experience deploying ML workloads and orchestration tools.

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 Terraform

Skills

Python
Cloud services AWS
Linux environments
CI/CD principles
ML deployment knowledge

Tools

Kubernetes
Terraform
Docker
GitHub Actions
Prometheus
Grafana

Job description

About Graphcore

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

Job Summary

Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems

The Team

The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long-term engineering solutions and strive to eliminate toil wherever possible.

Responsibilities and Duties
  • 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
Candidate Profile
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 of 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)
    Benefits

    In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

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