Cambridge, England, United Kingdom · Remote OK
About the job Validate the ML stack that turns accelerator hardware into trusted AI performance. This role sits where modern ML models meet Graphcore’s software and hardware stack. You will test, benchmark and validate c…
Skills: Machine Learning, PyTorch, TensorFlow, JAX, Triton
Cambridge, England, United Kingdom · Hybrid
$90k–$115k/yr
Cambridge, UK | Full-time | Permanent | Hybrid Salary: £90,000 to £115,000 DOE + Bonus + Benefits The salary range for this role is broad, as we are able to consider varying levels of experience. Any offer made will care…
Skills: SystemVerilog, UVM, FPGA Verification, RTL Debugging, Functional Verification
Cambridge, England, United Kingdom · Remote OK
About the job Validate the ML stack that turns accelerator hardware into trusted AI performance. This role sits where modern ML models meet Graphcore’s software and hardware stack. You will test, benchmark and validate c…
Skills: Machine Learning, PyTorch, TensorFlow, JAX, Triton
Cambridge, England, United Kingdom · Hybrid
$60k–$70k/yr
Cambridge, UK | Full-time | Permanent | Hybrid Salary: £60,000 - £70,000 DOE We will also consider part-time applications for this role. Please indicate your preferred working schedule in your cover letter. About us Rive…
Skills: Python, Software Design, Open Source Development, Quantum Error Correction, Compiler Design
Cambridge, England, United Kingdom · On-site
$72k–$90k/yr
Cambridge, UK | Full-time | Permanent Salary: £72,000 - £90,000 DOE We will also consider part-time applications for this role. Please indicate your preferred working schedule in your cover letter. About us Riverlane’s m…
Skills: Python, Software Architecture, Open Source Leadership, Scientific Software Development, Mentorship
Cambridge, England, United Kingdom · Hybrid
$70k–$90k/yr
Cambridge, UK | Full-time | Permanent | Hybrid Salary: £70,000 to £90,000, DOE We will also consider part-time applications for this role. Please indicate your preferred working schedule in your cover letter. We are able…
Skills: Compiler Design, LLVM MLIR, Python, C++, Rust
Cambridge, England, United Kingdom · Hybrid
$72k–$140k/yr
Cambridge, UK | Full-time | Permanent | Hybrid Salary: £72,000 to £140,000, DOE + Bonus + Benefits The salary range for this role is broad, as we are able to consider varying levels of experience. Any offer made will car…
Skills: Quantum Error Correction, Technical Leadership, Project Management, Mentoring, Theoretical Research
Cambridge, England, United Kingdom · Hybrid
$72k–$90k/yr
Cambridge, UK | Full-time | Permanent | Hybrid Salary: £72,000 to £90,000 DOE We will also consider part-time applications for this role. Please indicate your preferred working schedule in your cover letter. About us Riv…
Skills: Product Strategy, Roadmap Development, User Insight Analysis, Cross-functional Leadership, Open-source Management
Cambridge, England, United Kingdom · Hybrid
$72k–$90k/yr
Cambridge, UK | Full-time | Permanent | Hybrid Salary: £72,000 to £90,000 DOE We will also consider part-time applications for this role. Please indicate your preferred working schedule in your cover letter. About us Riv…
Skills: Product Management, B2B Product Strategy, Roadmap Development, Market Analysis, Cross-functional Collaboration
Cambridge, England, United Kingdom · Hybrid
$70k–$90k/yr
Cambridge, UK | Full-time | Permanent | Hybrid Salary: £70,000 to £90,000 DOE + Bonus + Benefits The salary range for this role is broad, as we are able to consider varying levels of experience. Any offer made will caref…
Skills: Digital Design, FPGA, RTL, Low-latency Systems, High Throughput Systems
Cambridge, England, United Kingdom · Hybrid
$60k–$85k/yr
Cambridge, UK | Full-time | Permanent | Hybrid Salary: £60,000 to £85,000, DOE The salary range for this role is broad, as we are able to consider varying levels of experience. Any offer made will carefully take into acc…
Skills: Quantum Error Correction, Quantum Algorithms, Numerical Simulations, Quantum Circuit Compilation, Fault-Tolerant Quantum Computing
Cambridge, England, United Kingdom · Hybrid
$68k–$82k/yr
Senior FPGA Engineer – Systems Team Cambridge, UK | Full-time | Permanent | Hybrid Salary: £68,000 to £82,000, DOE The salary range for this role is broad, as we are able to consider varying levels of experience. Any off…
Skills: FPGA, SystemVerilog, VHDL, UVM Verification, Python
Cambridge, England, United Kingdom · Hybrid
$68k–$100k/yr
Senior Compiler Engineer – Systems Team Cambridge, UK | Full-time | Permanent | Hybrid Salary: £68,000 to £100,000, DOE The salary range for this role is broad, as we are able to consider varying levels of experience. An…
Skills: Compilers, LLVM, MLIR, Python, C++
Cambridge, England, United Kingdom · Hybrid
$65k–$80k/yr
Integration Software Engineer Cambridge, UK | Full-time | Permanent | Hybrid Salary: £65,000 - £80,000 DOE The salary range for this role is broad, as we are able to consider varying levels of experience. Any offer made …
Skills: Python, C++, Embedded Software, System Integration, Test Infrastructure
Cambridge, England, United Kingdom · Hybrid
Director, Data Product Centre of Excellence Introduction to role: Are you ready to set the enterprise standard for AI-ready data products and turn uncertainty into momentum? In this role, you will develop how data become…
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Cambridge, England, United Kingdom · Hybrid
Do you want to use your engineering skills to build agentic workflows that help find treatments for rare disease patients? About Healx Healx is an AI-powered tech bio company that is redesigning drug discovery. With 10,0…
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Cambridge, England, United Kingdom · On-site
Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At Abcam, one of Danaher’s 15+ operating companies, our work saves lives—and …
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Cambridge, England, United Kingdom · Hybrid
Scientist, R&D (12-Month Fixed-Term Contract) Cambridge, United Kingdom Join Lonza's Vector Engineering R&D team in Cambridge and contribute to the development of next-generation CHO cell lines and gene expression platfo…
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Cambridge, England, United Kingdom · On-site
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Sofia, Sofia-City, Bulgaria · Remote OK
Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description Join us as a Director Operations – And lead our medical information operations team to develop and implement strategic initiatives, ensure …
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Validate the ML stack by testing, benchmarking, and identifying regressions across frameworks and hardware. Build automated benchmarking pipelines to ensure the reliability of AI models on ambitious infrastructure.
Requires strong experience in ML software engineering with a solid grasp of neural networks and performance trade-offs. Proficiency in Python and ML frameworks like PyTorch or TensorFlow is essential.
Validate the ML stack that turns accelerator hardware into trusted AI performance.
This role sits where modern ML models meet Graphcore’s software and hardware stack. You will test, benchmark and validate complex systems before they reach customers.
Your work will expose regressions, correctness issues and performance limits across frameworks, models and execution environments. You will help teams understand what is working, what is breaking and why.
You will run open source models, build automated benchmarking pipelines and create targeted tests for low level ML behaviour. That includes numerical precision, quantisation, attention mechanisms, distributed execution and model subgraphs.
This is a role for someone who wants to stay close to how AI systems really work. You will not design new models, but you will make them run reliably on ambitious infrastructure.
The ML QA team is where Graphcore’s ML software stack comes together for validation. Work spans unit tests, full model benchmarks, distributed workloads, simulators, emulators and hardware targets.
Engineers are expected to take ownership, question assumptions and improve how testing is done. The team moves quickly, but decisions are grounded in evidence, benchmark data and technical discussion.
You will work closely with software, infrastructure and hardware teams. Squads organise around priorities, with space for engineers to shape roadmaps and raise the quality bar.
· Strong experience in Machine Learning or ML-adjacent software engineering roles.
· A solid grasp of neural networks, training, inference, numerical precision and performance trade-offs.
· Hands-on experience with PyTorch, TensorFlow, JAX, Triton or similar ML frameworks and tools.
· Strong Python skills for automation, experimentation, benchmarking and reporting.
· Experience designing, running and analysing ML benchmarks or model experiments.
· Confident debugging skills in Linux, with curiosity about model behaviour and system performance.
· Unlimited annual leave
· Up to 5% matched pension
· Phantom equity – share in Graphcore’s success
· True flexibility in how and where you work
· Office spaces designed for collaboration
· Free food and an on-site barista
· Health cash plan
· Income protection
· Life assurance
· Along with other benefits you can choose from (private medical insurance, dental plan etc)
We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work.
We’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.
Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.
Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute.
If you want to validate the systems behind next generation AI compute, we’d love to hear from you. Apply now to help build what comes next.
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.
Offices: 11-19 Wine Street, Bristol, Bristol BS1 2PH, GB · Lynton House, 7-12 Tavistock Square, London, WC1H 9LT, GB · Kett House, Station Rd, Cambridge, CB1 2JX, GB · 12f b, No. 118, Ciyun Rd, East District, Hsinchu City, 300, TW · Olivia Star 30th Floor Olivia Business Centre Al. Grunwaldzka 472 | 80-309, Gdansk, PL
There are currently 144 open science & research positions in Cambridge, United Kingdom listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Riverlane, AstraZeneca, Danaher Corporation, Microsoft, Graphcore, among others. Browse the listings above to see every active employer.
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