Senior Engineer (ML Engineer)

Graphcore

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.

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

Graphcore

About us  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.  Job Summary  Reporting to the Head of Data & Analytics, the Lead Analytics Engineer is a senior individual contributor responsible for owning the analytics engineering layer within Graphcore’s data platform. This role focuses on building and evolving curated data models, trusted metrics and well-documented semantic structures that enable reliable self-service analytics across the business. A key part of the role is partnering closely with stakeholders across business and technical functions to understand how teams operate, build trusted relationships, and translate real decision-making needs into clear, usable and governed datasets that support reporting, planning and operational insight.  The Team  The Data & Analytics team enables better decision-making across Graphcore by building trusted data foundations, scalable platforms and high-quality data products. The team works across a broad range of business and technical domains, partnering with colleagues throughout the company to improve access to reliable information, strengthen operational insightand support efficient, data-informed ways of working. Within this team, the Lead Analytics Engineer owns a key part of the analytics workflow, acting as a bridge between business stakeholders and data engineers to shape data models that reflect how the business works and can be adopted with confidence.  Responsibilities and Duties  * Own the dbt transformation layer, building, maintaining and evolving data models that support reliable self-service analytics across Graphcore.  * Build strong working relationships with stakeholders across business and technical functions to understand priorities, processes, definitions and decision-making needs.  * Work closely with stakeholders to discover, clarify and challenge requirements, turning ambiguous questions into well-structured analytical datasets and trusted metrics.  * Translate business processes and raw datasets into intuitive, flexible and governed analytical models that support reporting, planning and operational decision-making.  * Design clear, maintainable SQL models with a well-structured approach to naming, layering, reuse and long-term sustainability.  * Partner with stakeholders to define, document and maintain trusted metric and KPI logic, ensuring consistency as requirements evolve.  * Implement robust testing, validation and documentation practices in dbt to improve data quality, trust and discoverability.  * Work closely with Data Engineering to align on source data structures, manage upstream schema changes and support reliable downstream consumption.  * Establish and maintain CI/CD practices for analytics engineering, including automated checks, review workflows and safe release processes.  * Optimise model performance and warehouse efficiency through pragmatic design choices, including incremental approaches, efficient joins and platform-aware tuning.  * Support self-service analytics by creating datasets that are easy to understand and consume, with clear documentation and guidance for common use cases.  * Contribute to the effective use of visualisation and reporting tools by modelling data for dashboard performance, usability and consistency.  * Apply appropriate governance and access control principles to analytical datasets, working with colleagues to support secure and appropriate self-service access.  * Help shape analytics engineering standards and day-to-day practices within the wider Data & Analytics function through collaboration, review and continuous improvement.  Candidate Profile  Essential  * Demonstrable experience building production-quality dbt models that enable reliable self-service analytics.  * Strong SQL skills and experience designing maintainable transformation layers within a modern data platform.  * Proven ability to build strong relationships with stakeholders and work closely with business users to understand requirements, processes and data needs.  * Proven ability to translate business requirements and raw datasets into flexible, intuitive data models that stakeholders can use confidently.  * Strong grasp of analytics engineering best practices, including model layering, documentation, testing and semantic consistency.  * Experience defining and maintaining trusted metrics, KPIs and curated datasets for business use.  * Strong understanding of data quality, change management and the practices needed to maintain trust in analytical outputs.  * Experience applying CI/CD practices to analytics workflows, including automated testing, deployment discipline and review processes.  * Experience working with relational databases and analytical warehouse technologies.  * Strong communication skills, including the ability to influence decisions, challenge assumptions constructively and work effectively with both technical and non-technical stakeholders.  * A practical, delivery-focused approach to problem solving.  Desirable  * Experience with data warehouse technologies such as Redshift, PostgreSQL or ClickHouse.  * Experience supporting self-service visualisation and reporting tools such as Superset, Metabase or similar platforms.  * Familiarity with semantic or metrics-layer tooling.  * Python experience, including building lightweight data applications or utilities.  * Experience improving dataset discoverability, documentation and adoption across an organisation.  * Familiarity with data governance practices, including access control and sensitive data handling.  * Experience working in a Git and pull-request based development workflow.  * Experience working in a fast-moving product, technology or engineering-led environment.