Time since we first saw it
Day 26
Similar jobs usually come down between day 6 and day 70.
At Graphcore, jobs usually come down by about day 63.
From 4,481 similar postings that came down, and 13 of Graphcore’s. Coming down is not always a hire.
Senior Machine Learning Engineer (Large Systems)
Cambridge, UK
Likely evergreen, first seen by us 26 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- Work authorization
- Must already have the right to work in the UK
Applicants must have the legal right to work in the UK
What you’ll work on
Full postingImplement, train and tune state-of-the-art ML models across thousands of accelerators
Benchmark and profile models to find performance bottlenecks
Develop kernel implementations across the software stack
Test new internal software releases, give feedback and review code
Design and run experiments on novel AI methods
From the employer’s posting
Implement and train state-of-the-art machine learning models and optimise for performance, accuracy and scalability across systems comprising 1000s of accelerators.
Benchmark and profile ML models to identify performance bottlenecks.
Develop deep understanding across the software stack in order to optimise kernel implementations.
Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews.
Design and conduct experiments on novel AI methods and evaluate results.
Education & alternatives
What we’re looking for Essential: - Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field. - Proficiency in deep learning frameworks like PyTorch/JAX.
Posting record
Report an errorLikely evergreenReposted 2 times since May 26, 2026. A role that keeps coming back is often kept open to collect applications rather than to fill one seat.
- Status in our records
- Live
- First seen by us
- Oct 10, 202626 days ago
- Recorded sightings
- 62
- Last seen by us
- Nov 5, 2026
- Reposted
- 2 times since May 26, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
Graphcore is hiring
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- ML Engineer hiring is picking up
- Takes jobs down at a usual pace
- 50% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- C++
- Python
- Kubernetes
- PyTorch
Where the posting names them
- Proficiency in deep learning frameworks like PyTorch/JAX. - Strong Python or C++ software development skills. - Expertise in hardware-accelerated deep learning from model training to optimisation and evaluation.
- Efficient computing based on low-precision arithmetic. - Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models. - Experience in distributed training or inference of ML models across 64+ accelerators.
- Experience in one or more of: - MLOps for Kubernetes-based clusters - Building production systems with large language models
- Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field. - Proficiency in deep learning frameworks like PyTorch/JAX. - Strong Python or C++ software development skills.
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Has Graphcore posted this job before?
Yes. We’ve followed 7 other Senior Machine Learning Engineer (Large Systems) jobs there since May 2026. 4 came down, usually after about 94 days. 3 are still up.
If this one keeps the same pace, it may come down around January 12.
Large employers often post one title for several teams, so these can be separate openings.
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
Location: Bristol, London or Cambridge, UK
About the job
Help scale state-of-the art AI models across thousands of accelerators.
As a Senior Machine Learning Engineer in the Applied AI team, you will contribute to advancing AI technology by developing and optimising new and existing AI models for our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects.
Having visibility of the entire pipeline from novel accelerator hardware to state-of-the-art AI applications, and the software stack in-between, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology.
Furthermore, you’ll work closely with researchers in a rapidly-evolving field, where even the most senior engineers are constantly learning and adapting to exciting new challenges.
We seek engineers with strong technical foundations who are curious and eager to understand and advance AI model implementation, at scale.
We currently have multiple opportunities available in the team at Senior, Staff and Principal level and offer flexibility through a hybrid working model, from any of our UK offices.
If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you!
The team and culture
The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software, as well as our own hardware and software stack, to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale.
Our work spans from low-level kernel development and optimisation for novel hardware through to implementing and scaling research-level algorithms for the latest AI models.
We collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications.
Responsibilities
- Implement and train state-of-the-art machine learning models and optimise for performance, accuracy and scalability across systems comprising 1000s of accelerators.
- Benchmark and profile ML models to identify performance bottlenecks.
- Develop deep understanding across the software stack in order to optimise kernel implementations.
- Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews.
- Design and conduct experiments on novel AI methods and evaluate results.
- Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware.
- Engage with AI community and keep in touch with the latest developments in AI.
What we’re looking for
Essential:
- Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field.
- Proficiency in deep learning frameworks like PyTorch/JAX.
- Strong Python or C++ software development skills.
- Expertise in hardware-accelerated deep learning from model training to optimisation and evaluation.
- Capable of designing, executing and reporting from ML experiments.
- Well-developed understanding of performance bottlenecks and how to overcome them.
- Ability to move quickly in a fast-moving field.
- Enjoy cross-functional work collaborating with other teams.
- Strong communicator - able to explain complex technical concepts to different audiences.
Desirable:
- Experience in one or more of:
- MLOps for Kubernetes-based clusters
- Building production systems with large language models
- Efficient computing based on low-precision arithmetic.
- Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models.
- Experience in distributed training or inference of ML models across 64+ accelerators.
- Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies, and cloud computing platforms.
- Have contributed to open-source projects or published research papers in relevant fields.
- Keen to present, publish and deliver talks in the AI community.
Benefits
- Flexible working: Balance your work and personal life with greater flexibility
- Generous leave: Take time to rest, recharge and enjoy life outside of work
- Retirement planning support: Up to 5% matched pension
- Phantom equity: Share in Graphcore’s success
- Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and drinks to support your day
- Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones
- Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice
- Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover
- Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn
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.
Join the Team at Graphcore
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 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.
Sponsorship
Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship for this role.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Cambridge, UK
We seek engineers with strong technical foundations who are curious and eager to understand and advance AI model implementation, at scale. We currently have multiple opportunities available in the team at Senior, Staff and Principal level and offer flexibility through a hybrid working model, from any of our UK offices. If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you!
- Work authorization
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. Sponsorship Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship for this role.