Senior Software Engineer (ML QA)

Graphcore

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.

Speechmatics

As a Technical Product Manager, you’ll be defining our product direction in close collaboration with our talented Engineering teams.  You’ll own product areas end-to-end and ensuring we ship the right things at pace. You’ll bring technical credibility to every conversation and into product decisions that matter.   You’ll work alongside the VP, Product in a product function that punches well above its size, complementing our engineering and ML teams with product leadership, aligning our roadmap across sales, research and GTM.   This is a role for someone with genuine technical depth who wants to grow into more, using their hands-on background to drive product impact in one of the most technically interesting areas in AI today.   What will you be doing: * Shipping Voice AI products end-to-end: From discovery and definition through to delivery and iteration. Focusing on shipping value to customers, not just features. That means owning the success definition for key product areas: choosing the right metrics and using data to drive iteration.   * Speaking directly to customers: Running your own interviews with users building with our Speech APIs for use cases such as voice agents, medical scribes and more. Understanding their needs and communicating them to the business. * Evolving the product roadmap for your area: Bringing customer and market insight as well as technical context to build defendable prioritisation decisions. * Partnering closely with ML researchers and engineers: To translate technical requirements and realities into product decisions. Understanding what trade-offs need to be agreed and how to deliver efficiently. * Working with sales and GTM: Defining how we package and position what we build, so that what we ship stands out in a competitive market.  * Helping define what great product looks like at Speechmatics: Being part of a product culture built on rigour, speed and deep curiosity.    Who we’re looking for: * Product experience: You've taken a product from problem definition to delivery multiple times and measured the impact.  * Technical depth: You’ve worked in software engineering, ML, data science or a related technical field. You're comfortable building scripts and quick prototypes, using the latest AI tools to move fast and validate ideas before committing engineering resource. * APIs and deployment: Familiarity with API-based products and SaaS or on-premise deployments would certainly help.  * ML Product fluency: You understand that shipping an ML model isn't like shipping a software feature. The definition of "ready to ship" is not black and white, evaluation isn’t pass or fail. * Experience working directly with teams that train, evaluate and ship models is a real advantage. If your background is outside ML, we'll want to understand how you build technical fluency quickly and any relevant experience. * Data instinct: You are comfortable digging into model evaluation results, asking whether the test data reflects real-world conditions, and understanding what a benchmark result does and doesn't tell you. * Engineering credibility: You can engage with ML engineers, researchers and developers from day one, earning trust by listening and learning, rather than title. * Comfortable with ambiguity: AI is moving quickly and so are we. You bring enough market and technical awareness to have a point of view on where things are heading, and you use that to shape roadmap decisions rather than just react to them.   We encourage you to apply even if you do not feel you match all of the requirements exactly. The list of requirements is intended to show the kinds of experience and qualities we’re looking for, but it is not exhaustive. If you are interested in the role, the team, and our mission, we would love to consider your application. We are always open to conversations and look forward to hearing from you. Who we are: Speechmatics is the leading expert in Speech Intelligence, and uses AI and Machine Learning to unlock business value in human speech worldwide. We work with an amazing mix of global companies, and our technology can integrate into our customers stack irrespective of their industry or use case – making it the go-to solution to harness useful information from speech. Joining us means working with some of the smartest minds around the world, focused on cutting-edge projects and deploying the latest techniques to disrupt the market. We believe in putting people first; we’ll do all we can to help you develop your skills and give you the tools you need to thrive. Our Focus Fridays give you an undisturbed day of focus, offset with Together Tuesdays when we have our team meetings, so you've always got the right balance. We have structured a hybrid approach that includes 2-3 designated office days each week. This arrangement ensures that while we embrace the advantages of remote work, we also maintain the vital connection and synergy that only in-person interactions can foster. This is only the beginning; we’re looking for amazing people like you to continue our journey… What we can offer you: No matter what stage of your career you’re at - from paid internships and first-job opportunities through to management and senior positions - we’ll support you with the training and development needed to reach your career aspirations with us. There really is no shortage of opportunities here for you to get involved and collaborate with those around you to deliver your best work. We offer incredibly flexible working, regular company lunches, and birthday celebrations. But that’s not all. We’ve spoken to our teams to find out what they want. From Private Medical, and Dental for you and your family, through to global working opportunities, a generous holiday allowance and pension/401K matching, we want to make sure our employees and their families are looked after. Every employee will receive a working from home allowance for tech or home office equipment (on top of your choice of laptop and accessories of course). Our approach to parental leave is designed to support employees globally. While this varies by geo, we have support in place for parents (including adoption assistance and reproductive health services) to ensure they have the time and financial resources needed to care for their growing families. At Speechmatics, our mission is simple: Understand Every Voice out there.  That's not just about our tech – it's the heart and soul of who we are. We welcome different experiences, viewpoints, and identities. For us, it’s not just the right thing to do; it’s our catalyst for sparking innovation and creativity. Our teams thrive in an environment that celebrates and supports everyone – no matter their gender, identity or expression, race, disability, age, sexual orientation, religion, belief, marital status, national origin, veteran status, pregnancy, or maternity status. But we don’t just open the door to diversity – we actively welcome it. Why? Because we believe every unique voice adds something special to our team, leading us to smarter solutions and a better workplace. So, come as you are and join our Speechling community. We’re building a place where every voice not only gets heard but is also respected and valued. For more information on us, please visit our website and follow Speechmatics on our social channels via Twitter, Facebook, LinkedIn, and YouTube. WE RELY ON LEGITIMATE INTEREST AS A LEGAL BASIS FOR PROCESSING PERSONAL INFORMATION UNDER THE GDPR FOR PURPOSES OF RECRUITMENT AND APPLICATIONS FOR EMPLOYMENT.  #LI-HYBRID

Graphcore

ABOUT 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 enjoys a culture of continuous learning and constant innovation.   JOB SUMMARY Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems. THE TEAM The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long-term engineering solutions and strive to eliminate toil wherever possible. RESPONSIBILITIES AND DUTIES * Develop, own, and maintain tools and services to support the software build and release process * Deploy and maintain services with Kubernetes and Docker * Manage our Cloud Infrastructure using tools such as Terraform * Support the technical development of junior and graduate engineer * Embody a strong engineering discipline for high reliability and minimal toil  CANDIDATE PROFILE  Essential:  * Knowledge of Python/Go/C++ (or similar language)  * Experience deploying services in the cloud (AWS preferred)  * Deep understanding of Linux environments  * Native user of CI/CD for production deployments  * Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu)  Desirable  * Experience using Kubernetes (k8s) or OpenStack  * Experience with GitHub Actions  * Experience with build tools (e.g. CMake)  * Experience with modern observability tooling (e.g. Prometheus)  * Experience with Grafana  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