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Location: Bristol, UK Start date: September 2027 Application deadline : Midnight, 29th November 2026 We encourage you to apply early, as we may close applications before the advertised deadline. The Graduate Programme at Graphcore Join 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. What you'll work on Put your coding skills to work at the boundary of hardware and software, helping Graphcore's platforms perform at their best. As a Graduate Systems Software Engineer in the Drivers and Utilities team, you'll help plan, build, test and improve kernel drivers and user space driver libraries. Your code will support the wider software stack and help engineering teams and customers use Graphcore hardware efficiently and effectively. You'll write code to Graphcore standards, create unit tests, review code and manually test changes. You'll also support our continuous integration system and contribute to technical design discussions, learning how changes are developed, checked and integrated. Your team and support Systems Software brings together Firmware, Drivers and Utilities, and System QA. These teams enable the silicon and hardware platforms created across Graphcore. You'll work closely with hardware and software colleagues through design discussions, Scrum ceremonies, code reviews and testing. Technical evidence and the needs of the software stack help guide our decisions. As you find your feet with your buddy's assistance, you'll be encouraged to ask questions, challenge existing approaches and share ideas for making things better. Take responsibility for your code, ask questions early and learn from feedback. Speak up when you spot a problem or need support. While we expect more of a learning curve with graduates joining the team, everyone's contribution is valued and you may find your solutions to our most challenging problems being adopted – some of our previous graduates' ideas have even been accepted for patent applications in their first year with the company! How you'll learn and grow During the two-year programme, you'll build your understanding of how hardware and software interact through hands-on work on drivers and libraries. Writing and testing changes will help you develop your low-level programming skills and learn how to check that your code behaves as intended. Work on continuous integration will show you how automated checks support reliable software development. Code reviews, design discussions and practical problem solving with hardware and software teams will help you develop your engineering judgement, explain your approach and understand how your work fits into Graphcore's wider software stack. What we're looking for Experience with low-level software, such as embedded software, device drivers, or a university or personal project Basic electronics knowledge, including confidence reading schematics and datasheets Introductory coding experience in C, C++ or Python Practical Git experience, including branches, pull requests, reviews and merges, and awareness of Continuous Integration systems such as Jenkins Bring curiosity about how hardware and software platforms interact, a willingness to take responsibility for your work and openness to asking questions and learning from others You 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. Benefits Flexible working: Balance your work and personal life with greater flexibility 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 an on-site barista 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. Sponsorship Applicants 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. Introduction to Graphcore At 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. How to apply and what to expect To 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. Ready to put your learning into practice? Start your career in a permanent Systems Software Engineer role, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Location: Bristol, UK Start date: September 2027 Application deadline : Midnight, 29th November 2026 We encourage you to apply early, as we may close applications before the advertised deadline. The Graduate Programme at Graphcore Join 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. What you'll work on Help build the software that connects Graphcore hardware with the machine learning frameworks researchers and engineers rely on. As a Graduate Software Engineer across our Frameworks team, you'll develop software connecting Graphcore's machine learning accelerators with frameworks including PyTorch and Triton. You'll implement features, optimise performance, resolve defects and create tests and technical documentation. You'll write and improve tests, investigate issues and help make the software more reliable and faster. You'll also write clear documentation and take part in code reviews, discussing ideas and learning from feedback. Take ownership of clearly scoped tasks, with support from experienced colleagues as you learn your way around the codebase. Your team and support The Frameworks team works with tools including PyTorch and Triton Its work connects these tools with compilers, which translate code for hardware, and runtime software, which helps it execute. We plan and review work in short cycles using Scrum. You'll have clear priorities, regular feedback and opportunities to learn from colleagues working across software and hardware. Technical evidence and the needs of our users help guide our decisions. 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. How you'll learn and grow During the two-year programme, you'll build your understanding of how software and hardware work together to run AI workloads. Hands-on tasks will help you develop your knowledge of compilers and runtime software, alongside your skills in testing, debugging and documentation. Code reviews and technical discussions will give you feedback on your approach and help you learn how other engineers solve problems. As you build confidence in the codebase, you'll learn how to turn an idea into a software feature, investigate how it behaves and explain your work to colleagues.[ What we're looking for Bachelor's/Master's degree in Computer Science, Maths, Machine Learning, Data Science or a related field Hands-on experience with Python or C++, with the ability to write clear, maintainable code, tests and documentation Practical experience or a strong academic understanding of compiler development, ML frameworks or a computationally intensive engineering field An interest in AI, machine learning frameworks, high-performance software or computer architecture, with curiosity and openness to learning through feedback and technical discussions You can demonstrate these skills through coursework, a dissertation, personal or team projects, placements, internships, open-source contributions or other relevant experience. Relevant modules and university projects count as evidence of your compiler knowledge. Tell us what you built or investigated, how you approached it and what you learned. Benefits Flexible working: Balance your work and personal life with greater flexibility 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 an on-site barista 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. Sponsorship Applicants 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. Introduction to Graphcore At 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. How to apply and what to expect To 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. Ready to put your learning into practice? Start your career in a permanent Software Engineer role in our Frameworks team, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next. Find Jobs in United Kingdom on Arbeitnow

Location: Bristol or Cambridge, UK Start date: September 2027 Application deadline : Midnight, 29th November 2026 We encourage you to apply early, as we may close applications before the advertised deadline. The Graduate Programme at Graphcore Join 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. What you'll work on Put your programming and Linux skills to work on the software that helps Graphcore's AI systems run reliably. As a Graduate Software Engineer in System Software Quality Assurance (QA), you'll help validate low-level firmware, Linux kernel drivers and platform tools. You'll design and develop tests, investigate issues and give development teams clear feedback on software quality. You'll also maintain and improve continuous integration pipelines across different platforms. Working closely with System Software development teams, you'll help strengthen test-driven development and solve practical engineering problems that matter to customers. Your team and support You will be working closely with a team of passionate engineers who will help you each step of the way. Your buddy will be Myles who has recently completed his own graduate program, they can not only help you with becoming an individual contributor but also suggest some fascinating travel destinations for your next holiday. How you'll learn and grow During the two-year programme, you'll deepen your systems knowledge through hands-on testing across firmware, Linux kernel drivers and platform tools. Designing tests will help you understand the foundations on which some of the most popular models run, finding and debugging defects will teach you about the low-level software and interactions with the hardware. You will have a chance to work in the lab configuring hardware connections and work on building automation pipelines to seamlessly run tests in loop and process results. Collaboration with development teams will help you connect your findings to software improvements, explain technical issues clearly and develop your engineering judgement from design through delivery. What we're looking for Bachelor's/Master's degree in Computer Science, Maths, Data Science or a related field Experience working with Linux internals and or firmware Strong proficiency in C/C++ and Python Clear written and verbal communication, with a collaborative, practical approach to solving challenging technical problems and taking ownership of quality work You 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. Knowledge of low-level software testing, virtualisation, hypervisor concepts or automation pipelines would be useful. These are additional strengths, rather than essential requirements. Benefits Flexible working: Balance your work and personal life with greater flexibility 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 an on-site barista 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. Sponsorship Applicants 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. Introduction to Graphcore At 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. How to apply and what to expect To 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. Ready to put your learning into practice? Start your career in a permanent System Software QA role, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next. Find Jobs in United Kingdom on Arbeitnow

About the job Build the software that validates Graphcore's machine learning stack, from frameworks to AI accelerator hardware. You'll design production-quality test infrastructure that engineers can extend, maintain and rely on as Graphcore's ML software grows. Your work will help teams deliver reliable products, with clear evidence of numerical accuracy and performance across the stack. You'll architect scalable test frameworks and build CI/CD pipelines that run across simulators, emulators and physical hardware. You'll create representative ML workloads, analyse their execution and turn the results into practical improvements to testing and tooling. This role gives you scope to shape software architecture and developer experience, not just add tests to existing systems. You'll deepen your understanding of the AI compute stack while solving engineering problems that connect software design with hardware behaviour. The team and culture Graphcore's ML QA engineers build automation, work with industry-standard frameworks and models, and contribute to upstream open-source projects. You'll work across software teams, using code and design reviews to strengthen quality, security and maintainability. You'll use workload results to challenge assumptions and guide technical decisions about how Graphcore tests its ML stack. You'll own improvements, act quickly on testing gaps and mentor junior engineers to raise the team's technical standards. What we're looking for Strong Python skills, demonstrated through designing, developing and maintaining production-quality software. Software design and architecture skills for large, complex codebases, with a focus on testability and long-term maintainability. Experience building CI/CD pipelines and automated testing systems in Linux environments. Familiarity with C or C++, including the ability to read, debug and reason about low-level code. The ability to mentor junior engineers and influence engineering practices through constructive feedback. A self-directed approach to solving complex problems, identifying gaps and driving improvements. While we have outlined a set of requirements, we value transferable skills and diverse experiences. We also welcome engineers returning to the profession after a career break, including through returnship routes. 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 an on-site barista 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. Sponsorship Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role. 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 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. Ready to shape how Graphcore tests its ML software stack? Apply now to join our ML QA team. Find Jobs in United Kingdom on Arbeitnow

About the job Build the software that validates Graphcore's machine learning stack, from frameworks to AI accelerator hardware. You'll design production-quality test infrastructure that engineers can extend, maintain and rely on as Graphcore's ML software grows. Your work will help teams deliver reliable products, with clear evidence of numerical accuracy and performance across the stack. You'll architect scalable test frameworks and build CI/CD pipelines that run across simulators, emulators and physical hardware. You'll create representative ML workloads, analyse their execution and turn the results into practical improvements to testing and tooling. This role gives you scope to shape software architecture and developer experience, not just add tests to existing systems. You'll deepen your understanding of the AI compute stack while solving engineering problems that connect software design with hardware behaviour. The team and culture Graphcore's ML QA engineers build automation, work with industry-standard frameworks and models, and contribute to upstream open-source projects. You'll work across software teams, using code and design reviews to strengthen quality, security and maintainability. You'll use workload results to challenge assumptions and guide technical decisions about how Graphcore tests its ML stack. You'll own improvements, act quickly on testing gaps and mentor junior engineers to raise the team's technical standards. What we're looking for Strong Python skills, demonstrated through designing, developing and maintaining production-quality software. Software design and architecture skills for large, complex codebases, with a focus on testability and long-term maintainability. Experience building CI/CD pipelines and automated testing systems in Linux environments. Familiarity with C or C++, including the ability to read, debug and reason about low-level code. The ability to mentor junior engineers and influence engineering practices through constructive feedback. A self-directed approach to solving complex problems, identifying gaps and driving improvements. While we have outlined a set of requirements, we value transferable skills and diverse experiences. We also welcome engineers returning to the profession after a career break, including through returnship routes. 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 an on-site barista 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. Sponsorship Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role. 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 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. Ready to shape how Graphcore tests its ML software stack? Apply now to join our ML QA team. Find more English Speaking Jobs in United Kingdom on Arbeitnow

About the job Build the software that validates Graphcore's machine learning stack, from frameworks to AI accelerator hardware. You'll design production-quality test infrastructure that engineers can extend, maintain and rely on as Graphcore's ML software grows. Your work will help teams deliver reliable products, with clear evidence of numerical accuracy and performance across the stack. You'll architect scalable test frameworks and build CI/CD pipelines that run across simulators, emulators and physical hardware. You'll create representative ML workloads, analyse their execution and turn the results into practical improvements to testing and tooling. This role gives you scope to shape software architecture and developer experience, not just add tests to existing systems. You'll deepen your understanding of the AI compute stack while solving engineering problems that connect software design with hardware behaviour. The team and culture Graphcore's ML QA engineers build automation, work with industry-standard frameworks and models, and contribute to upstream open-source projects. You'll work across software teams, using code and design reviews to strengthen quality, security and maintainability. You'll use workload results to challenge assumptions and guide technical decisions about how Graphcore tests its ML stack. You'll own improvements, act quickly on testing gaps and mentor junior engineers to raise the team's technical standards. What we're looking for Strong Python skills, demonstrated through designing, developing and maintaining production-quality software. Software design and architecture skills for large, complex codebases, with a focus on testability and long-term maintainability. Experience building CI/CD pipelines and automated testing systems in Linux environments. Familiarity with C or C++, including the ability to read, debug and reason about low-level code. The ability to mentor junior engineers and influence engineering practices through constructive feedback. A self-directed approach to solving complex problems, identifying gaps and driving improvements. While we have outlined a set of requirements, we value transferable skills and diverse experiences. We also welcome engineers returning to the profession after a career break, including through returnship routes. 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 an on-site barista 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. Sponsorship Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role. 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 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. Ready to shape how Graphcore tests its ML software stack? Apply now to join our ML QA team. Find Jobs in United Kingdom on Arbeitnow

Location: Bristol, UK Duration: 12 weeks Salary: £2500 per month Start date: June 2027 Application deadline: Midnight 29th November We encourage you to apply early, as we may close applications before the advertised deadline. The Internship Programme at Graphcore Explore a career at Graphcore through a 12-week summer internship, gaining hands-on experience on real projects. You'll bring fresh ideas, put your learning into practice and help shape what we're creating. Along the way, you'll tackle challenging problems with a team who welcome your questions and support you as you build your skills and confidence. What you'll work on Put your low-level programming skills to work on the drivers that connect Graphcore's AI hardware with machine learning software. As a Software Engineering Intern in Drivers and Utilities, you'll explore kernel and user-space development alongside engineers working across the hardware and software stack. Your contributions will help the wider software team use Graphcore hardware efficiently and support the systems our customers depend on. Your tasks could include writing code, adding unit tests and manually testing your own and teammates' changes. You'll also help maintain continuous integration (CI) and fix issues, contributing to the work that keeps software development moving. The team and culture The Drivers and Utilities team sits within System Software, alongside Firmware and System QA. You'll work with engineers who collaborate directly with Poplar SDK developers, silicon engineers and hardware engineers. Technical design discussions, code reviews and Scrum sessions will help you understand how the team develops and coordinates its work. You can ask for help as you learn the codebase, discuss different approaches and use feedback to improve your changes. Decisions are shaped by design discussions, code reviews and test results. As an intern, you'll be encouraged to ask questions, share ideas and flag problems early, with support from experienced engineers as you learn. How you'll learn and grow Over the 12 weeks, you'll build practical experience in low-level software development, testing and continuous integration through the work your tasks focus on. Following changes from an initial idea through implementation and testing will help you understand what makes driver software reliable. You'll learn how to check your work, investigate issues and contribute to a shared codebase, gaining a clearer view of a career close to the hardware. Your internship is a chance to explore a future at Graphcore. Depending on your performance and the roles available, there may be an opportunity to join one of our graduate programmes once you've graduated. What we're looking for Currently studying for a bachelor's or master's degree in Computer Science, Maths, Machine Learning, Data Science or a related field Low-level software experience, such as embedded code or device drivers, and introductory programming experience in C, C++ or Python. Personal or university projects count Basic electronics knowledge, including the ability to read and understand schematics and datasheets Awareness of continuous integration systems such as Jenkins, plus experience using Git to manage source code, raise and review pull requests, and merge branches Previous industry experience is not required. Tell us what you built or investigated through coursework, personal or team projects or other relevant experience, how you approached it and what you learned. Benefits Flexible working: Find a balance between your internship and life outside work 5 days of annual leave: Take time to rest and recharge during your 12-week internship Life in the office: Get to know your colleagues in spaces designed for collaboration, with free food, a great selection of ice cream and an on-site barista Learning and development: Build your skills and explore your interests with access to O'Reilly, our online learning platform 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. Sponsorship Applicants 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. Introduction to Graphcore At 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. An internship at Graphcore gives you the chance to explore where your interests and skills could take you. You'll work alongside people with different backgrounds and expertise, from AI researchers to chip designers and software engineers. Together, you'll share ideas and solve challenging problems, building experience and confidence to help you decide what comes next. How to apply and what to expect To 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. Curious about where your skills could take you? Apply for a summer internship at Graphcore and help us build what comes next. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Location: Bristol, UK Salary: £2500 per month Start date: June 2027 Application deadline : Midnight, 29th November 2026 We encourage you to apply early, as we may close applications before the advertised deadline. The Internship Programme at Graphcore Explore a career at Graphcore through a 12-week summer internship, gaining hands-on experience on real projects. You'll bring fresh ideas, put your learning into practice and help shape what we're creating. Along the way, you'll tackle challenging problems with a team who welcome your questions and support you as you build your skills and confidence. What you'll work on Use your programming skills and curiosity to help AI models run efficiently on next-generation Graphcore hardware. In AI Compute Libraries & Performance, you'll contribute to C++ libraries and compute kernels for machine learning workloads. Your work will include: Developing compute kernels: Implement and improve operations such as matrix multiplication (GEMM), convolutions, reductions, elementwise operations and fused kernels that combine multiple operations. Understanding and improving performance: Use profiling and microbenchmarks to measure execution speed and investigate how threading, cache locality, memory layout and kernel launch efficiency affect performance. Checking correctness and reliability: Build regression tests and numerical checks, investigate issues and improve the quality of the libraries our customers use. Through these projects, you'll develop practical experience connecting numerical computing with how code runs on hardware, helping deliver software that is fast, accurate and reliable. Your team and support You'll join a team building high-performance compute libraries that help customers get more from Graphcore hardware. Our work brings together machine learning, numerical computing and accelerator performance, with colleagues sharing their expertise to solve engineering problems. You'll contribute to clearly scoped projects and build your skills with guidance from engineers working in performance and low-level software. Together, we use profiling, experiments and technical reviews to compare approaches, understand trade-offs and improve our solutions. Your buddy will help you settle in, get familiar with our tools and ways of working, and find the right people to ask. Your manager will meet with you regularly to agree goals, offer feedback and discuss your development, including time for learning. We welcome different perspectives and make space for everyone to contribute. Questions, alternative approaches and requests for help are part of how we work. As you take on more responsibility, your colleagues will help you work through challenges, and your ideas will be listened to and discussed respectfully. How you'll learn and grow Over the 12 weeks, you'll build performance engineering skills through hands-on work on compute kernels, benchmarks and tests. Profiling and experiments will help you understand where time is spent and how changes to code and data layout affect performance. Numerical validation and regression testing will show you how to check that an optimisation preserves correct results and continues to work as software changes. Working with specialists and discussing technical trade-offs will help you develop your engineering judgement, explain your findings and connect mathematical operations to efficient implementations on hardware. What we're looking for Currently studying towards a bachelor's or master's degree in Computer Science, Maths, Machine Learning, Data Science or a related field Experience with C or C++11, plus familiarity with Python or scripting tools for automation and testing An understanding of linear algebra, numerical methods or scientific computing Problem-solving skills and collaborative approach to unfamiliar technical challenges Previous industry experience is not required. Tell us what you built or investigated through coursework, personal or team projects or other relevant experience, how you approached it and what you learned. Coursework or experience with machine learning frameworks, parallel programming, code optimisation, maths libraries or performance analysis would be useful. These are additional strengths, rather than essential requirements. Benefits Flexible working: Find a balance between your internship and life outside work 5 days of annual leave: Take time to rest and recharge during your 12-week internship Life in the office: Get to know your colleagues in spaces designed for collaboration, with free food, a great selection of ice cream and an on-site barista Learning and development: Build your skills and explore your interests with access to O'Reilly, our online learning platform 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. Sponsorship Applicants 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. Introduction to Graphcore At 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. How to apply and what to expect To 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. Curious about where your skills could take you? Apply for a summer internship at Graphcore and help us build what comes next. Find more English Speaking Jobs in United Kingdom on Arbeitnow

About the job Build the software that validates Graphcore's machine learning stack, from frameworks to AI accelerator hardware. You'll design production-quality test infrastructure that engineers can extend, maintain and rely on as Graphcore's ML software grows. Your work will help teams deliver reliable products, with clear evidence of numerical accuracy and performance across the stack. You'll architect scalable test frameworks and build CI/CD pipelines that run across simulators, emulators and physical hardware. You'll create representative ML workloads, analyse their execution and turn the results into practical improvements to testing and tooling. This role gives you scope to shape software architecture and developer experience, not just add tests to existing systems. You'll deepen your understanding of the AI compute stack while solving engineering problems that connect software design with hardware behaviour. The team and culture Graphcore's ML QA engineers build automation, work with industry-standard frameworks and models, and contribute to upstream open-source projects. You'll work across software teams, using code and design reviews to strengthen quality, security and maintainability. You'll use workload results to challenge assumptions and guide technical decisions about how Graphcore tests its ML stack. You'll own improvements, act quickly on testing gaps and mentor junior engineers to raise the team's technical standards. What we're looking for Strong Python skills, demonstrated through designing, developing and maintaining production-quality software. Software design and architecture skills for large, complex codebases, with a focus on testability and long-term maintainability. Experience building CI/CD pipelines and automated testing systems in Linux environments. Familiarity with C or C++, including the ability to read, debug and reason about low-level code. The ability to mentor junior engineers and influence engineering practices through constructive feedback. A self-directed approach to solving complex problems, identifying gaps and driving improvements. While we have outlined a set of requirements, we value transferable skills and diverse experiences. We also welcome engineers returning to the profession after a career break, including through returnship routes. 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 an on-site barista 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. Sponsorship Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role. 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 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. Ready to shape how Graphcore tests its ML software stack? Apply now to join our ML QA team. Find Jobs in United Kingdom on Arbeitnow

About the job Build the software that validates Graphcore's machine learning stack, from frameworks to AI accelerator hardware. You'll design production-quality test infrastructure that engineers can extend, maintain and rely on as Graphcore's ML software grows. Your work will help teams deliver reliable products, with clear evidence of numerical accuracy and performance across the stack. You'll architect scalable test frameworks and build CI/CD pipelines that run across simulators, emulators and physical hardware. You'll create representative ML workloads, analyse their execution and turn the results into practical improvements to testing and tooling. This role gives you scope to shape software architecture and developer experience, not just add tests to existing systems. You'll deepen your understanding of the AI compute stack while solving engineering problems that connect software design with hardware behaviour. The team and culture Graphcore's ML QA engineers build automation, work with industry-standard frameworks and models, and contribute to upstream open-source projects. You'll work across software teams, using code and design reviews to strengthen quality, security and maintainability. You'll use workload results to challenge assumptions and guide technical decisions about how Graphcore tests its ML stack. You'll own improvements, act quickly on testing gaps and mentor junior engineers to raise the team's technical standards. What we're looking for Strong Python skills, demonstrated through designing, developing and maintaining production-quality software. Software design and architecture skills for large, complex codebases, with a focus on testability and long-term maintainability. Experience building CI/CD pipelines and automated testing systems in Linux environments. Familiarity with C or C++, including the ability to read, debug and reason about low-level code. The ability to mentor junior engineers and influence engineering practices through constructive feedback. A self-directed approach to solving complex problems, identifying gaps and driving improvements. While we have outlined a set of requirements, we value transferable skills and diverse experiences. We also welcome engineers returning to the profession after a career break, including through returnship routes. 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 an on-site barista 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. Sponsorship Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role. 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 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. Ready to shape how Graphcore tests its ML software stack? Apply now to join our ML QA team. Find more English Speaking Jobs in United Kingdom on Arbeitnow

About the job Build the software that validates Graphcore's machine learning stack, from frameworks to AI accelerator hardware. You'll design production-quality test infrastructure that engineers can extend, maintain and rely on as Graphcore's ML software grows. Your work will help teams deliver reliable products, with clear evidence of numerical accuracy and performance across the stack. You'll architect scalable test frameworks and build CI/CD pipelines that run across simulators, emulators and physical hardware. You'll create representative ML workloads, analyse their execution and turn the results into practical improvements to testing and tooling. This role gives you scope to shape software architecture and developer experience, not just add tests to existing systems. You'll deepen your understanding of the AI compute stack while solving engineering problems that connect software design with hardware behaviour. The team and culture Graphcore's ML QA engineers build automation, work with industry-standard frameworks and models, and contribute to upstream open-source projects. You'll work across software teams, using code and design reviews to strengthen quality, security and maintainability. You'll use workload results to challenge assumptions and guide technical decisions about how Graphcore tests its ML stack. You'll own improvements, act quickly on testing gaps and mentor junior engineers to raise the team's technical standards. What we're looking for Strong Python skills, demonstrated through designing, developing and maintaining production-quality software. Software design and architecture skills for large, complex codebases, with a focus on testability and long-term maintainability. Experience building CI/CD pipelines and automated testing systems in Linux environments. Familiarity with C or C++, including the ability to read, debug and reason about low-level code. The ability to mentor junior engineers and influence engineering practices through constructive feedback. A self-directed approach to solving complex problems, identifying gaps and driving improvements. While we have outlined a set of requirements, we value transferable skills and diverse experiences. We also welcome engineers returning to the profession after a career break, including through returnship routes. 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 an on-site barista 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. Sponsorship Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship or support visa applications for this role. 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 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. Ready to shape how Graphcore tests its ML software stack? Apply now to join our ML QA team. Find Jobs in United Kingdom on Arbeitnow

WPP is the trusted growth partner for the world's leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: We are seeking an experienced and visionary Engineering Manager to lead one of our data engineering team. In this role, you will be responsible for managing and scaling data products, driving data pipeline development, and ensuring the availability, quality, and security of our data assets. You will collaborate closely with cross-functional teams including data scientists, analysts, product managers, and software engineers to enable data-driven decision-making across the organization. What you'll be doing: Lead, mentor, and grow a high-performing team of data engineers. Design, build, and maintain scalable, reliable, and efficient data pipelines and architectures. Oversee the development and implementation of ETL/ELT processes, data warehousing, and data lake solutions. Collaborate with stakeholders to understand business requirements and translate them into technical data solutions. Ensure data quality, consistency, and security across all data engineering workflows. Define best practices and standards for data engineering and promote their adoption. Drive continuous improvement in data infrastructure and tooling, leveraging cloud platforms (e.g., AWS, GCP, Azure) and big data technologies (e.g., Spark,dbt). Collaborate with PMs to manage project timelines, resource allocation, and deliverables to meet business goals. Work with data governance and compliance teams to ensure data privacy and regulatory compliance. Stay updated with the latest data engineering trends and technologies and evaluate their applicability. What you'll need: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. 7+ years of experience in data engineering or software engineering roles, with at least 3 years in a leadership/management position. Strong expertise in data pipeline development, ETL/ELT processes, and data warehousing solutions. Proficient with cloud platforms (AWS, GCP, Azure) and big data tools like Apache Spark, Python, etc. Experience with relational and NoSQL databases. Solid understanding of data modeling, data architecture, engineering frameworks Proven ability to lead and scale engineering teams and manage cross-functional projects. Excellent problem-solving skills and ability to communicate complex technical concepts to both technical and non-technical stakeholders. Experience with agile development methodologies. Who you are: You're open : We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working. You're optimistic : We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected. You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day. What we'll give you: Passionate, inspired people – We aim to create a culture in which people can do extraordinary work. Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry. Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge? #LI-Hybrid We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we've adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. Please read our Privacy Notice ( https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment ) for more information on how we process the information you provide. Find Jobs in United Kingdom on Arbeitnow