
OGT · Cambridge
OGT is a leading global provider of clinical and diagnostic genomic solutions. We believe in creating products and partnerships that enable clinicians to delive...
OGT is a leading global provider of clinical and diagnostic genomic solutions. We believe in creating products and partnerships
that enable clinicians to deliver personalised healthcare to patients and that empower clinical researchers to develop the next
generation of precision medicines.
Our Production Scientists are hardworking and organised team players, who play an integral role in the manufacture of our
catalogue products in a science-based laboratory.
You’ll work within a team to produce the correct amount and type of stock in line with customer and business requirements. This
involves carrying out manufacturing tasks whilst following established processes and procedures in the Quality Management System.
Operations involves the production of over 400 catalogue products and increases to more than 1,000 when including bespoke products
(c. £12m annual output).
Translation in line with guidelines and under close supervision
including analysing and optimising FISH slides
campaign/manufacture task assigned to you
manner using approved procedures.
Essential
prioritise your tasks in order to meet deadlines
Desirable
Application is via CV and a one-page covering letter outlining your suitability for the role, salary expectations and notice
period.
Please note that we will need to establish your right to work during the recruitment process.
ABOUT THE JOB Help prove the ML software stack that future AI systems will depend on. Graphcore is expanding the software systems behind AI compute at datacenter scale. This role focuses on validating a complex machine learning stack before it reaches customers and hardware.You will build the test infrastructure, automation and tooling that engineers trust every day. Your work will help raise reliability, performance and maintainability across frameworks, simulators, emulators and future hardware. You will shape test architecture across large codebases, CI pipelines and representative ML workloads. You will use strong software engineering judgement to turn complex technical goals into scalable validation systems. This is a role for someone who enjoys depth, ownership and useful engineering. You will make quality easier, faster and more visible for teams building at the edge of AI compute. THE TEAM AND CULTURE The ML QA team sits where Graphcore’s software components come together. Engineers work across unit tests, integration tests, full model runs, subgraph validation and benchmarking. Work is organised through focused squads with clear ownership. People are expected to step up, speak openly and improve how the team builds, tests and learns. Decisions are grounded in evidence from code, data and system behaviour. The team works closely with software teams to identify gaps, improve tooling and move priorities forward quickly. WHAT WE’RE LOOKING FOR · Strong software design skills, with experience building maintainable systems across large codebases. · Production Python experience, including testable, reliable code used by other engineers. · Experience with CI/CD, automated testing and Linux based development workflows. · Familiarity with C or C++, with confidence reading and debugging low level code. · Understanding of ML frameworks, workloads or model execution beyond simple API usage. · Ability to mentor engineers, improve practices and take ownership of complex technical problems. 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 shape how complex ML software is tested, trusted and improved, we’d love to hear from you. Apply now to be part of the journey.
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
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 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 AI research and engineering teams * Deploy and maintain services with Kubernetes and Docker * Manage our Cloud Infrastructure using tools such as Terraform Candidate Profile Essential: * Knowledge of Python * Familiarity with cloud services (e.g. AWS) * Experience managing or developing in Linux environments * Understanding of CI/CD principles * Experience using Kubernetes (k8s) * Experience of one of the following: * maintaining machine learning applications. * deploying ML orchestration tools (e.g. NV Ray, KFP, SkyPilot). * managing ML accelerator hardware (e.g. DCGM). Desirable * Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu) * Experience with GitHub Actions * Experience with modern observability tooling (e.g. Prometheus) * Experience with Grafana * Knowledge of Go/Java/C++ (or similar language) 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.