{"id":73839,"url":"https://alion.io/job/graphcore-infrastructure-and-mlops-engineer-2","title":"Infrastructure and MLOps Engineer","company":{"id":33,"name":"Graphcore","domain":"graphcore.ai","url":"https://alion.io/company/graphcore","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":88,"open_postings":163,"ghost_share":0.117,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":69,"computed_at":"2026-10-21T05:46:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cambridge, United Kingdom","Bristol, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"HPC","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Ray","optional":false},{"name":"SkyPilot","optional":false},{"name":"Terraform","optional":false},{"name":"C++","optional":true},{"name":"GitHub Actions","optional":true},{"name":"Grafana","optional":true},{"name":"Java","optional":true},{"name":"OpenTofu","optional":true},{"name":"Prometheus","optional":true}],"status":"live","first_seen_at":"2026-07-16T13:01:03Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-21T22:06:28Z","board_verified":true,"closed_at":null,"days_open":97,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":96},"description":"About Graphcore \nAt Graphcore, we’re building the future of AI compute.\nWe’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.\nAs 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.\nJob Summary \nJoin 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\nThe Team\nThe 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. \nResponsibilities and Duties \nDevelop, own, and maintain tools and services to support AI research and engineering teams \nDeploy and maintain services with Kubernetes and Docker \nManage our Cloud Infrastructure using tools such as Terraform \nCandidate Profile \nEssential: \nKnowledge of Python \nFamiliarity with cloud services (e.g. AWS) \nExperience managing or developing in Linux environments \nUnderstanding of CI/CD principles \nExperience using Kubernetes (k8s) \nExperience of one of the following:\nmaintaining machine learning applications.\ndeploying ML orchestration tools (e.g. NV Ray, KFP, SkyPilot).\nmanaging ML accelerator hardware (e.g. DCGM).\nDesirable \nExperience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu) \nExperience with GitHub Actions \nExperience with modern observability tooling (e.g. Prometheus) \nExperience with Grafana \nKnowledge of Go/Java/C++ (or similar language)Benefits\nIn 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. 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