{"id":2918890,"url":"https://alion.io/job/graphcore-graduate-machine-learning-engineer-2027","title":"Graduate Machine Learning Engineer 2027","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":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Bristol, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":54000,"max_usd":133000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":9},"experience_years_min":2,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"PyTorch","optional":false}],"status":"live","first_seen_at":"2026-10-20T10:17:31Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-21T17:37:48Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Location: Bristol, UK\nStart date: September 2027\nApplication deadline: Midnight, 29th November 2026\nWe encourage you to apply early, as we may close applications before the advertised deadline. \nThe Graduate Programme at Graphcore \nJoin Graphcore in a permanent role and start your career with two years of hands-on learning. From day one, you’ll be trusted to take ownership, share your ideas and help shape what we’re creating. You’ll tackle challenging problems alongside a team who support your development and are as excited about your success as you are. \n\nWhat you’ll work on \nTurn the models you’ve studied into AI systems that run at scale. \nIn Applied AI, you’ll help implement, train and optimise advanced models on Graphcore’s next generation hardware, connecting research ideas with systems running across thousands of accelerators. \nYou’ll benchmark models, use profiling to find performance bottlenecks, design experiments and contribute fixes across models, software and accelerator systems. \nWorking with Research, Software and Product teams, you’ll test ideas that could inform future hardware. Your experiments will help us understand what makes a model accurate, efficient and ready to scale. \nYour team and support \nThe Applied AI team acts as a proxy for Graphcore’s customers. We understand current AI models, applications and software, then make sure Graphcore technology works at scale. You’ll work alongside people who write low-level kernels, train large language models and enjoy figuring out challenging AI problems together. \nWork spans low-level kernel optimisation through to implementing research-level algorithms for new AI models. Engineers move between experiments, profiling, code reviews and technical debate - giving you a view of how different parts of an AI system fit together. \nDecisions are driven by evidence, performance data and clear engineering judgement. You’ll be encouraged to ask questions, challenge existing approaches and share ideas for making things better. Take responsibility for your work and speak up when you spot a problem or need support. \nHow you’ll learn and grow \nDuring the two-year programme, you’ll build technical range through hands-on work across AI models and accelerator systems. \nWith visibility across the full stack - from novel accelerator hardware and its software stack to state-of-the-art AI applications - you’ll identify opportunities to innovate and differentiate Graphcore’s technology. \nWhat we’re looking for \nBachelor/Master's degree in Machine Learning, Computer Science, Maths, Data Science, or related field \nSoftware development skills and proficiency with a deep learning framework such as PyTorch or JAX \nAn understanding of deep learning architectures, optimisation, evaluation and scaling, with the ability to design, run and explain ML experiments \nA collaborative approach and willingness to work through unfamiliar technical problems, ask questions and take responsibility \nYou can demonstrate these skills through coursework, a dissertation, personal or team projects, research, or other relevant experience. Tell us what you built or investigated, how you approached it and what you learned. \nBenefits\nFlexible working: Balance your work and personal life with greater flexibility\nRetirement planning support: Up to 5% matched pension\nPhantom equity: Share in Graphcore’s success\nWorkplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day\nPeace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones\nElectric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice\nFlexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover\nOptional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn\nWe welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work.\nWe’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you.\nSponsorship\nApplicants must already have the right to work in the UK for the full duration of the programme, without requiring visa sponsorship. We are unable to sponsor work visas for our Early Careers opportunities.\nIntroduction to Graphcore\nAt Graphcore, we’re building next generation AI compute: from semiconductors and software to systems at datacenter scale. We are proud to be owned by SoftBank Group and work with other companies in the SoftBank family to deliver AI compute to customers working at the AI frontier. Starting your career here means working alongside people with different backgrounds and expertise, from AI researchers to chip designers and software engineers. You’ll learn from each other, bring fresh ideas and help solve challenging problems together.\nHow to apply and what to expect \nTo apply, answer the application questions below and upload your CV and cover letter. We’ll let you know the outcome of your application by early December at the latest. If successful, you’ll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring.\n Ready to put your learning into practice? Start your career in a permanent Machine Learning Engineer role, with two years of hands-on learning through the Graphcore Graduate Programme.Apply now and help shape what comes next.","description_format":"text","description_chars":5738,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible schedule","Health insurance","Retirement plans"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-10-20T11:22:55Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Senior or Specialist Worker, Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Global Business Mobility: Senior or Specialist Worker; Skilled Worker","cap_exempt":false,"checked_at":"2026-10-21T06:25:45+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":69,"reasons":["conf:2","velocity","win:early","comp:junior,brand"],"computed_at":"2026-10-21T05:46:15Z"},"pay":null,"html_url":"https://alion.io/job/graphcore-graduate-machine-learning-engineer-2027","json_url":"https://alion.io/job/graphcore-graduate-machine-learning-engineer-2027.json","meta":{"generated_at":"2026-10-21T17:58:12Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":25285,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":33},"rest":"https://alion.io/mcp/rest/get_company?id=33"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgraphcore-graduate-machine-learning-engineer-2027"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fgraphcore-graduate-machine-learning-engineer-2027"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fgraphcore-graduate-machine-learning-engineer-2027"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/graphcore-graduate-machine-learning-engineer-2027\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgraphcore-graduate-machine-learning-engineer-2027"}]}