
Graphcore · Bristol
ABOUT GRAPHCORE At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creati...
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
Applicants for this role should have strong experience designing, developing, and maintaining high-quality software systems. The
role focuses on testing and validating a complex machine learning software stack, with particular emphasis on software
architecture, automation, and engineering best practices.
The ideal candidate is an experienced software engineer who values code quality, testability, and long-term maintainability, and
enjoys building systems that other engineers rely on. This person will be comfortable working across large codebases, contributing
to CI/CD infrastructure, and shaping technical direction through thoughtful design and mentoring in a technically demanding
environment spanning ML frameworks, infrastructure, and AI accelerator hardware
The ML QA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and
data-driven validation. The team works closely with industry-standard machine learning frameworks and models, contributing to
upstream open-source projects and collaborating across the wider software organization.
Operating in a fast-paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability
across the ML software stack, helping to deliver robust and high-quality products to customers.
benchmarking).
organizational goals.
Desirable
In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance
and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental
leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a
range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different
backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for
everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We
can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa
sponsorship or support for visa applications
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 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 TEAM AND CULTURE 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. WHAT WE’RE LOOKING FOR · 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. BENEFITS · 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. 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. 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.
Senior Appian Development Consultant Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognised brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. The Role: You'll work alongside multidisciplinary teams of strategists, architects, engineers, analysts, designers and consultants, helping enterprise organisations modernise business operations through low-code technology, workflow automation and intelligent digital solutions. Our capability spans the full transformation lifecycle; from discovery and solution design through to implementation, optimisation and continuous improvement. We work across sectors including financial services, retail, healthcare, automotive, media and the public sector, delivering enterprise platforms that simplify complex business processes and create measurable business value. As a Senior Appian Consultant, you'll play a key role in designing and delivering scalable Appian solutions that improve operational efficiency, automate manual processes and enable organisations to respond faster to changing business needs. This is a hands-on consulting role requiring strong technical expertise, client engagement skills and the ability to translate business requirements into robust enterprise applications. Role Responsibilities: You are a hands-on Appian specialist who enjoys solving complex business challenges through modern low-code technology. You combine strong technical capability with a consulting mindset and enjoy working closely with clients to understand problems before designing scalable solutions. You will lead the design, configuration and development of enterprise Appian applications, ensuring solutions are secure, maintainable and aligned to Appian best practices. You'll contribute throughout the delivery lifecycle, from technical design and sprint planning through to testing, deployment and production support. Working collaboratively with architects, product managers, business analysts and engineering teams, you'll help shape technical solutions that balance business requirements with implementation practicality. You'll be comfortable leading technical discussions with clients, providing guidance on solution design, integration approaches and delivery best practice while mentoring junior developers and helping elevate engineering quality across delivery teams. You'll actively contribute to Agile delivery ceremonies, supporting backlog refinement, estimation, sprint demonstrations and continuous improvement initiatives. You will also play an important role in maintaining delivery quality through technical reviews, unit testing, deployment management and performance optimisation. As technology continues to evolve, you'll remain curious and committed to continuous learning; embracing new Appian capabilities and identifying opportunities to improve delivery through automation, reusable components and emerging AI capabilities. Must have Qualifications: * Proven experience delivering enterprise-scale Appian solutions within complex client * Strong experience developing Appian applications using Records, Record Types, Relationships, SAIL Interfaces, Process Models, Sites, Reports and CDTs, with the ability to manage a single application through its full lifecycle. * Strong understanding of relational databases, SQL, data modelling and enterprise data structures. * Comfortable working day-to-day within blended teams of client staff and third-party vendors, building good working relationships and adapting to the client's tools, processes and team culture. * Experience designing and implementing integrations using Connected Systems, Web APIs and external services, including REST and SOAP-based integration patterns, exercising sound judgement on when to use built-in objects, expressions, rules and plug-ins versus custom development. * Experience identifying performance bottlenecks, applying caching strategies, and using the Appian Health Check report and process monitoring tab to maintain production stability within an application. * Experience implementing Appian's security model and managing Appian deployments, release pipelines, and troubleshooting production issues within a single application or workstream. * Experience producing technical design documentation, unit testing and delivering high-quality solutions against defined acceptance criteria. * Strong understanding of Appian development best practices and enterprise application design principles. * Experience working within Agile Scrum delivery teams, including sprint planning, refinement, estimation and demonstrations. * Excellent communication skills with experience working directly with business stakeholders, Product Owners and technical teams. * A proactive mindset with a passion for continuous learning and emerging Appian capabilities. Commitment to reaching all kinds of people We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. About Valtech Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. At the intersection of data, AI, creativity, and technology, we drive transformation for leading organisations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. Are you ready to create what’s next? Join us.
ABOUT GRAPHCORE 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 JOB SUMMARY Applicants for this role should have strong experience designing, developing, and maintaining high-quality software systems. The role focuses on testing and validating a complex machine learning software stack, with particular emphasis on software architecture, automation, and engineering best practices. The ideal candidate is an experienced software engineer who values code quality, testability, and long-term maintainability, and enjoys building systems that other engineers rely on. This person will be comfortable working across large codebases, contributing to CI/CD infrastructure, and shaping technical direction through thoughtful design and mentoring in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware THE TEAM The ML QA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data-driven validation. The team works closely with industry-standard machine learning frameworks and models, contributing to upstream open-source projects and collaborating across the wider software organization. Operating in a fast-paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high-quality products to customers. RESPONSIBILITIES AND DUTIES * Design, implement, and maintain robust test infrastructure and automation for a complex ML software stack. * Architect and evolve test frameworks and tooling with a focus on scalability, maintainability, and developer experience. * Build and maintain CI/CD pipelines targeting simulators, emulators (e.g. QEMU), and physical hardware. * Create representative ML workloads and gain insights from their execution. (Numerical accuracy, performance analysis and benchmarking). * Work closely with all Software development teams, supporting a culture of quality, security and maintainability. * Review code and designs, setting a high bar for software engineering best practices. * Mentor and support junior engineers, helping raise the overall technical capability of the team. * Evaluate existing test strategies and infrastructure, identifying gaps and driving improvements aligned with team and organizational goals. CANDIDATE PROFILE Essential: * Experience in production-quality software engineering roles. * Strong software design and architecture skills, with experience working on large or complex systems. * Strong proficiency in Python, including experience building and maintaining production codebases. * Solid experience with CI/CD systems and automated testing (preferably GitHub-based workflows). * Experience working in Linux environments. * Familiarity with C or C++, with the ability to read, debug, and reason about low-level code when needed. * Proven ability to mentor junior engineers and influence engineering practices within a team. * Strong problem-solving skills and a proactive, self-directed approach to work. * Bachelor/Master's/PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Desirable * Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow * Experience with distributed workload management systems such as Kubernetes, VLLM, Keras or MLOps pipelines * Experience working with hardware simulators or emulators (e.g. QEMU). * Experience developing for or working with FPGA-based systems. * Experience with people management or mentoring BENEFITS In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications