qa engineer

London Business School

<div>Why London Business School
<p>
London Business School; a global and vibrant business community based in two of the world&rsquo;s most dynamic cities, London and Dubai. It&rsquo;s where extraordinary minds and diverse perspectives connect, to have a profound impact on the way the world does business and the way business impacts the world. We offer best in class hybrid learning to our students and participants, whilst creating a flexible, supportive and dynamic working environment for our people to excel in, whatever their location.</p>
The Role
<p><b>
Help shape quality across a world-class technology environment</b></p><p>
London Business School are looking for a skilled QA Engineer to help drive quality across our technology delivery teams and ensure solutions are designed, built, tested and released to robust and transparent quality standards.</p><p>
This is an exciting opportunity for a hands-on testing professional who combines strong technical capability with a passion for quality engineering and continuous improvement.</p><p>
You will be accountable for driving quality within a multidisciplinary delivery team, ensuring that solutions are designed, built, tested and released to robust and transparent quality standards.</p><p>
Working closely with Business Analysts, Developers, DevOps and stakeholders, you will lead testing strategy and execution within your domain, combining automation, exploratory testing and structured UAT to ensure confidence in delivery.</p><p>
This role balances hands-on technical testing with leadership in quality practices, acting as a champion for quality throughout the delivery lifecycle.</p>
Main Responsibilities
<ul><li>Drive quality across multidisciplinary delivery teams.</li><li>
Define and lead testing strategy and execution within your domain.</li><li>
Combine automated testing, exploratory testing and structured UAT to support confident delivery.</li><li>
Work closely with Business Analysts, Developers, DevOps and stakeholders throughout the delivery lifecycle.</li><li>
Ensure solutions are tested and released against clear, robust and transparent quality standards.</li><li>
Champion quality engineering practices across the team.</li><li>
Support a culture of continuous improvement in testing and release readiness.</li><li>
Balance hands-on delivery with guidance on quality processes and standards.</li></ul>
Who we are looking for
<ul><li>Strong experience in software testing and quality assurance within multidisciplinary delivery teams.</li><li>
Experience developing and executing test strategies across a range of delivery contexts.</li><li>
Hands-on experience with test automation.</li><li>
Strong exploratory testing skills.</li><li>
Experience coordinating and supporting User Acceptance Testing.</li><li>
Ability to work closely with Business Analysts, Developers, DevOps teams and stakeholders.</li><li>
Strong understanding of the full delivery lifecycle and release quality standards.</li><li>
Ability to promote and embed strong quality practices across a team.</li></ul>
What you can expect from us
<ul><li>Generous annual leave of 27 days PLUS extra between Christmas and New Year!</li><li>
Generous pension package, 14.5% employer contribution (in return for employee enrolment and contribution)</li><li>
Free onsite gym and swimming pool</li><li>
Amazing range of professional development to support your career path</li><li>
Enhanced cycle to work scheme</li><li>
Wellbeing offering to support your physical, mental and financial health</li></ul><p>
At London Business School, we support Smart Working - a hybrid approach designed to help you achieve a healthy work-life balance while delivering the best outcomes for your role and the needs of our customers. All roles require a minimum of two days on campus each week to foster a vibrant, collaborative community.</p><p>
For this role specifically, you will be expected to be on campus 2 days per week.</p><p>
We operate with &lsquo;core hours&rsquo; &ndash; 10:00-15:00 &ndash; to maximise opportunities for connection and collaboration across teams during the working day. Outside of these hours, you may still be required for meetings or collaboration based on your role and customer needs. Additionally, we offer Protected Time - a flexible, one-hour slot, within the working week dedicated to your learning and development, wellbeing, or focused, quiet work</p><p><b>
Our commitment to driving inclusion and belonging</b></p><p>
We are a globally reaching institution, committed to creating tangible and sustainable change in driving inclusion &amp; belonging within our School, education and society at large. We are dedicated to creating an environment where everyone in our community feels they belong and thrive. This is a key school priority, and we want everyone who joins LBS to feel respected, welcomed, and heard.</p><p><b>
Candidates needing sponsorship should assess their eligibility for a Certificate of Sponsorship by evaluating their circumstances against the relevant criteria before applying</b></p><p><b>
Please note we start screening CVs and interviewing candidates from the start of a campaign. A successful candidate could progress to offer before the advertised closing date. We encourage you to apply as soon as possible if you are interested in any roles.</b></p></div>

QA Engineer

Kryptos Technologies Limited

<div><h2 class="jobSectionHeader"><b>Tasks</b></h2>
<p><b>
AWS QA Engineer (App Modernization &amp; AI-driven Testing)</b></p>
<p><b>
Duration: 4 -6 months</b></p>
<p><b>
Location: London -Hybrid (3 Days onsite)</b></p>
<p><b>
Role Overview</b></p>
<p>
We are seeking a skilled <b>AWS QA Engineer</b> with strong experience in <b>testing serverless and event-driven architectures</b>. The role focuses on validating modern cloud-native applications built on AWS, ensuring high quality across <b>application modernization programs</b>, while leveraging <b>AI-assisted testing using AWS Kiro</b>.</p>
<p><b>
Key Responsibilities</b></p>
<p><b>
Functional &amp; Automation Testing (AWS Serverless)</b></p>
<ul>
<li><p>Design, develop, and execute <b>test strategies and test cases</b> for applications built on:</p>
</li>
<li><p>AWS Lambda, API Gateway</p>
</li>
<li><p>Amazon EventBridge</p>
</li>
<li><p>Amazon Kinesis Data Streams</p>
</li>
<li><p>Validate <b>event-driven and streaming workflows</b>, including message processing and data consistency.</p>
</li>
<li><p>Develop automated test scripts to validate:</p>
</li>
<li><p>API responses</p>
</li>
<li><p>Event flows and triggers</p>
</li>
<li><p>Data persistence in DynamoDB / S3</p>
</li>
</ul><p><b>Event-driven &amp; Streaming Validation</b></p>
<ul>
<li><p>Create and execute test scenarios for:</p>
</li>
<li><p><b>Kinesis stream data ingestion and processing</b></p>
</li>
<li><p>Event orchestration via EventBridge</p>
</li>
<li><p>Validate <b>end-to-end workflows across microservices and serverless components</b>.</p>
</li>
<li><p>Perform <b>integration testing and contract testing</b> across services.</p>
</li>
</ul><p><b>Application Modernization Testing</b></p>
<ul>
<li><p>Support testing for <b>modernized applications (legacy </b><b> cloud-native)</b>.</p>
</li>
<li><p>Perform:</p>
</li>
<li><p>Functional testing</p>
</li>
<li><p>Regression testing (pre/post migration comparison)</p>
</li>
<li><p>System Integration Testing (SIT)</p>
</li>
<li><p>Validate <b>API-driven and microservices-based architectures</b> [AWS Server...sting v1.0 | PowerPoint]</p>
</li>
</ul><p><b>AI-driven Testing (Kiro)</b></p>
<ul>
<li><p>Leverage <b>AWS Kiro for AI-assisted testing</b> to improve productivity.</p>
</li>
<li><p>Use AI for:</p>
</li>
<li><p>Test case generation</p>
</li>
<li><p>Test data preparation</p>
</li>
<li><p>Automated validation and defect detection</p>
</li>
<li><p>Contribute to <b>AI-enabled quality engineering practices</b>.</p>
</li>
</ul><p><b>Performance, Reliability &amp; Security Testing</b></p>
<ul>
<li><p>Execute:</p>
</li>
<li><p>Performance and load testing for serverless workloads</p>
</li>
<li><p>Resilience and failure scenario testing (event loss, retries, scaling)</p>
</li>
<li><p>Validate:</p>
</li>
<li><p>Security and access controls (IAM roles, authentication flows)</p>
</li>
<li><p>Data integrity and system reliability</p>
</li>
</ul><p><b>Automation &amp; DevOps Integration</b></p>
<ul>
<li><p>Build and maintain <b>automated testing frameworks</b> for AWS workloads.</p>
</li>
<li><p>Integrate testing into <b>CI/CD pipelines</b>.</p>
</li>
<li><p>Enable automated validation for:</p>
</li>
<li><p>Serverless APIs</p>
</li>
<li><p>Event-driven systems</p>
</li>
<li><p>Ensure <b>continuous testing and fast feedback cycles</b>.</p>
</li>
</ul><h2 class="jobSectionHeader"><b>Requirements</b></h2>
<p><b>
Required Skills &amp; Experience</b></p>
<p><b>
Core Testing &amp; AWS Skills</b></p>
<ul>
<li><p>Strong experience in <b>QA / Automation testing for cloud applications</b></p>
</li>
<li><p>Hands-on experience with:</p>
</li>
<li><p>AWS Lambda</p>
</li>
<li><p>Amazon EventBridge</p>
</li>
<li><p>Amazon Kinesis Data Streams</p>
</li>
<li><p>API Gateway</p>
</li>
<li><p>DynamoDB and S3</p>
</li>
<li><p>Experience testing <b>event-driven and serverless architectures</b></p>
</li>
<li><p><b>Test Automation &amp; Tools</b></p>
</li>
<li><p>Experience with:</p>
</li>
<li><p>Automation frameworks (Jest framework, Java/Springboot, or similar)</p>
</li>
<li><p>API testing tools (Postman, REST clients)</p>
</li>
<li><p>Ability to:</p>
</li>
<li><p>Create automated test suites</p>
</li>
<li><p>Validate JSON-based inputs/outputs for APIs and events</p>
</li>
<li><p>Knowledge of:</p>
</li>
<li><p>BDD frameworks (Cucumber - good to have)</p>
</li>
</ul><p><b>Application Modernization Testing</b></p>
<ul>
<li>Experience in testing:</li>
<li>Microservices architectures</li>
<li>API-first systems</li>
<li>Strong understanding of:</li>
<li>Integration flows</li>
<li>Data validation across distributed systems</li>
</ul>
<p><b>AI &amp; Innovation</b></p>
<ul>
<li>Exposure to:</li>
<li><b>AI-assisted testing (AWS Kiro preferred)</b></li>
<li>Test automation using GenAI tools</li>
<li>Interest in driving <b>AI-enabled QA practices</b></li>
</ul>
<p><b>DevOps &amp; Engineering Practices</b></p>
<ul>
<li>Experience integrating tests within:</li>
<li>CI/CD pipelines (GitHub Actions, Jenkins)</li>
<li>Familiarity with:</li>
<li>Infrastructure as Code validation (CDK)</li>
<li>Monitoring tools (CloudWatch)</li>
</ul>
<p><b>Preferred Qualifications</b></p>
<ul>
<li>AWS Certified (Developer or Cloud Practitioner)</li>
<li>Experience with:</li>
<li>Streaming platforms (Kafka/MSK)</li>
<li>Performance and security testing tools</li>
<li>Exposure to <b>enterprise-scale AWS modernization programs</b></li></ul></div>

AWS QA Engineer ( App Modernization & AI driven Testing)

Intercontinental Exchange

<div>Job Description:
<p><b>
Job Purpose</b></p><p>
As a vital member of the Technology Group, you will contribute significantly to the development and delivery of the ICE Digital Trade Platform (IDT) &mdash; a cloud-based system designed to digitize, automate, and streamline global trade and post-trade processes. This platform manages the full lifecycle of digital trade documents across various applications, including API services.</p><p></p><p><br>
In this role, you&rsquo;ll be responsible for ensuring the quality and reliability of the IDT platform through test automation, certification testing, client onboarding, production support, and effective communication with stakeholders.</p><p></p><p><br>
We&rsquo;re looking for a results-oriented, self-driven professional who thrives in a dynamic environment. You&rsquo;ll collaborate closely with project managers, developers, product teams, support staff, and external vendors.</p><p></p><p><br>
Demonstrates awareness of emerging AI-driven QA methodologies and proactively explores opportunities to integrate them into existing testing frameworks and workflows to enhance efficiency, coverage, and quality assurance outcomes.</p><p></p><p><b><br>
Responsibilities</b></p><ul><li>
Analyze business/system requirements and database schemas.</li><li>
Design, develop, and maintain automated test cases.</li><li>
Perform functional, integration, and regression testing (especially APIs).</li><li>
Write and execute SQL queries for data validation.</li><li>
Use CI/CD tools, version control (Git), and automation frameworks.</li><li>
Respond to client API queries and support onboarding.</li><li>
Log and track defects; coordinate client-side testing.</li><li>
Contribute to internal monitoring tools and scripting.</li><li>
Maintain awareness of environment changes and deploy applications.</li><li>
Collaborate with QA leads on complex testing strategies.</li><li>
Develop and deliver well written test plans and summaries</li><li>
Leverage AI coding assistants (e.g., Claude / Claude Code, GitHub Copilot) and agentic AI workflows to accelerate test authoring, maintenance, failure triage, and defect analysis, while reviewing AI-generated output for correctness and quality.</li></ul><p></p><p><b><br>
Knowledge and Experience</b></p><ul><li>
Bachelor&rsquo;s degree in computer science, Engineering, or related field.</li><li>
5+ years in QA, with experience in test planning and automation.</li><li>
Strong knowledge of REST/SOAP APIs, JSON, XML.</li><li>
Proficient in tools like JIRA, Postman, ReadyAPI, or JMeter.</li><li>
Experience with SDLC, QA methodologies, and scripting (Python, etc.).</li><li>
Excellent communication and organizational skills.</li><li>
Experience with Git, Jenkins, ALM, and test automation frameworks.</li><li>
Ability to work in highly demanding, fast-paced environment</li><li>
Self-motivated, able to work and excel autonomously on job responsibilities.</li><li>
Understands and evaluates AI/ML-based testing tools and frameworks, integrating them into CI/CD pipelines to optimize test automation and defect detection.</li><li>
Hands-on experience using AI coding assistants such as Claude (including Claude Code) and GitHub Copilot to generate, refactor, and maintain automated test code, with sound judgement on where AI assistance is and is not appropriate.</li><li>
Working knowledge of agentic AI concepts &mdash; autonomous, multi-step AI agents and prompt engineering &mdash; applied to QA tasks such as test generation, log and failure analysis, and exploratory testing.</li></ul><p></p><p><b><br>
Nice to Have</b></p><ul><li>
JavaScript and Cypress for front-end testing.</li><li>
Hands on experience designing and executing performance tests for APIs and GUIs to identify bottlenecks and ensure optimal response times</li><li>
Experience designing or orchestrating agentic AI / multi-agent workflows (e.g., Claude Code subagents) for test automation, self-healing tests, or document/PDF validation.</li></ul></div>

Senior QA Automation Engineer

Autodesk

<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>Job Requisition ID #</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div></div>
26WD99665<p></p><div><div><p><b>
Position Overview</b></p><p><b>
Senior QA Automation Engineer &ndash; AI Applications</b><b> UK</b></p></div><p></p><div><p><br>
We are seeking an experienced QA Automation Engineer to ensure the quality, reliability, and performance of AI-powered applications. The ideal candidate has expertise in automated testing and software quality engineering, with experience building scalable testing frameworks and leveraging AI-powered testing tools to improve test development, maintenance, and coverage. They combine deep QA automation expertise with practical experience using AI to enhance testing workflows. Experience testing AI/ML applications or validating machine learning models is an asset.</p></div><p></p><div><p><b><br>
Responsibilities</b></p></div><div><ul><li><p>
Design and maintain automated test suites, evaluation scenarios, metrics, and test datasets for AI-powered features</p></li></ul></div><div><ul><li><p>
Automate QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins), leveraging AI-powered testing tools to improve test development, maintenance, and coverage</p></li></ul></div><div><ul><li><p>
Create and maintain test harnesses for AI services, applications, and APIs</p></li></ul></div><div><ul><li><p>
Perform API testing for AI services and backend systems</p></li></ul></div><div><ul><li><p>
Define quality strategy and acceptance criteria for AI-powered applications across functional, API, integration, and AI/ML features</p></li></ul></div><div><ul><li><p>
Test AI/ML applications and machine learning models from a product and user perspective</p></li></ul></div><div><ul><li><p>
Evaluate AI/ML model outputs for correctness, consistency, and expected application behavior</p></li></ul></div><div><ul><li><p>
Define structured rubrics that translate qualitative findings into measurable evaluation gates</p></li></ul></div><div><ul><li><p>
Build quality gates for CI/CD and deployment pipelines, including automated regression and integration testing</p></li></ul></div><div><ul><li><p>
Mentor teams on QA automation best practices and consistent quality standards for AI-powered applications</p></li></ul></div><div><ul><li><p>
Contribute to multi-team projects and codebases, ensuring code quality and consistency</p></li></ul></div><div><ul><li><p>
Participate in code reviews and provide constructive feedback to peers</p></li></ul></div><div><ul><li><p>
Document and present findings and ideas across the company</p></li></ul></div><p></p><div><p><b><br>
Minimum Qualifications</b></p></div></div><div><div><ul><li><p>
Bachelor&rsquo;s degree in Computer Science, Engineering, or equivalent experience</p></li></ul></div><div><ul><li><p>
5+ years of professional experience in software quality assurance, test automation, or software engineering</p></li></ul></div><div><ul><li><p>
Strong programming skills in Python, with experience in test automation</p></li></ul></div><div><ul><li><p>
Hands-on experience using AI-powered testing tools or AI coding assistants to improve test automation, productivity, and quality</p></li></ul></div><div><ul><li><p>
Experience with CI/CD tools and processes</p></li></ul></div><div><ul><li><p>
Familiarity with popular CAD environments and tooling</p></li></ul></div><div><ul><li><p>
Proficient in automation and UAT test suites/frameworks</p></li><li><p>
Experience designing QA frameworks or platforms used by multiple teams</p></li></ul></div><div><ul><li><p>
Excellent problem-solving skills and attention to detail</p></li></ul></div><div><ul><li><p>
Strong communication and collaboration skills</p></li></ul></div><div><ul><li><p>
Understanding of software architecture and design patterns</p></li></ul></div><div><ul><li><p>
Ability to work in an Agile development environment</p></li></ul></div><p></p><div><p><b>
Preferred Qualifications</b></p></div><div><ul><li><p>
Experience testing AI/ML applications or validating machine learning models</p></li></ul></div><div><ul><li><p>
Experience with data validation tooling (e.g., Great Expectations) or labeling workflows</p></li></ul></div><div><ul><li><p>
Familiarity with ML frameworks (e.g., PyTorch, TensorFlow)</p></li></ul></div><div><ul><li><p>
Experience with data pipelines and orchestration tools (e.g., Airflow, Metaflow)</p></li></ul></div><div><ul><li><p>
Knowledge of MLOps practices (e.g., model monitoring, drift detection, deployment validation)</p></li></ul></div><div><ul><li><p>
Knowledge of ML evaluation methods, metrics, and benchmarking</p></li></ul></div><div><ul><li><p>
Passion for learning new technologies and improving existing systems</p></li></ul></div></div><div><div><ul><li><p>
Experience with cloud providers (e.g., AWS, Azure, Google Cloud Platform)</p></li></ul></div><div><ul><li><p>
Experience testing AI/ML services in production environments</p></li></ul></div><div><ul><li><p>
Knowledge of experiment tracking tools (e.g., Comet, MLflow, Weights &amp; Biases)</p></li></ul></div><p></p><div><p><b>
The Ideal Candidate</b></p></div><div><ul><li><p>
You demonstrate initiative to provide solutions and to learn and develop new technologies</p></li></ul></div><div><ul><li><p>
Comfortable building QA systems from scratch and writing maintainable automation</p></li></ul></div><div><ul><li><p>
You enjoy learning and collaborating across global locations</p></li></ul></div><div><ul><li><p>
You are comfortable working in newly forming ambiguous areas</p></li></ul></div><div><ul><li><p>
You are comfortable building scalable and maintainable QA automation frameworks that will be relied on by others</p></li></ul></div><div><ul><li><p>
You effectively leverage AI-powered tools to improve testing workflows and engineering productivity</p></li></ul></div><div><ul><li><p>
You can communicate well with others</p></li></ul></div><p></p><div><p><br>
 #LI-JK3</p></div></div><p></p><p><b><br>
Learn More</b></p><p></p><p><b>
About Autodesk</b></p><p>
Welcome to Autodesk! Amazing things are created every day with our software &ndash; from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.</p><p></p><p>
We take great pride in our culture here at Autodesk &ndash; it&rsquo;s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.</p><p></p><p>
When you&rsquo;re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!</p><p></p><p><b>
Salary transparency</b></p>
Salary is one part of Autodesk&rsquo;s competitive compensation package. Offers are based on the candidate&rsquo;s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.<p><b><br>
Belonging</b><br>
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging</p><p></p><p><b>
Are you an existing contractor or consultant with Autodesk?
</b></p><p>Please search for open jobs and apply internally (not on this external site).</p></div>

Senior QA Automation Engineer – AI Applications UK

Graphcore

<div><h3 class="jobSectionHeader"><b>About the job</b></h3>
<p>
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.</p>
<p>
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.</p>
<h3 class="jobSectionHeader"><b>
The team and culture</b></h3>
<p>
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.</p>
<p>
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.</p>
<p>
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.</p>
<h3 class="jobSectionHeader"><b>
What we're looking for</b></h3>
<ul><li>Strong software design skills, with experience building maintainable systems across large codebases.</li><li>Production Python experience, including testable, reliable code used by other engineers.</li><li>Experience with CI/CD, automated testing and Linux based development workflows.</li><li>Familiarity with C or C++, with confidence reading and debugging low level code.</li><li>Understanding of ML frameworks, workloads or model execution beyond simple API usage.</li><li>Ability to mentor engineers, improve practices and take ownership of complex technical problems.</li></ul>
<h3 class="jobSectionHeader"><b>
Benefits</b></h3>
<ul><li>Unlimited annual leave</li><li>Up to 5% matched pension</li><li>Phantom equity &ndash; share in Graphcore's success</li><li>True flexibility in how and where you work</li><li>Office spaces designed for collaboration</li><li>Free food and an on-site barista</li><li>Health cash plan</li><li>Income protection</li><li>Life assurance</li><li>Along with other benefits you can choose from (private medical insurance, dental plan etc)</li></ul>
We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work.
<p>
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.</p>
<h3 class="jobSectionHeader"><b>
Join the team at Graphcore</b></h3><br>
<p>
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.</p>
<p>
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.</p>
<p>
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.</p>
<p>
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.</p></div>

Senior Software Engineer (ML QA)

<div>
 <strong>
  About The Job
  <br/>
  <br/>
 </strong>
 Validate the ML stack that turns accelerator hardware into trusted AI performance.
 <br/>
 <br/>
 This role sits where modern ML models meet Graphcore&rsquo;s software and hardware stack. You will test, benchmark and validate complex systems before they reach customers.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 The team and culture
 <br/>
 <br/>
 The ML QA team is where Graphcore&rsquo;s ML software stack comes together for validation. Work spans unit tests, full model benchmarks, distributed workloads, simulators, emulators and hardware targets.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 What we&rsquo;re looking for
 <br/>
 <br/>
 <ul>
  <li>
   Strong experience in Machine Learning or ML-adjacent software engineering roles.
  </li>
  <li>
   A solid grasp of neural networks, training, inference, numerical precision and performance trade-offs.
  </li>
  <li>
   Hands-on experience with PyTorch, TensorFlow, JAX, Triton or similar ML frameworks and tools.
  </li>
  <li>
   Strong Python skills for automation, experimentation, benchmarking and reporting.
  </li>
  <li>
   Experience designing, running and analysing ML benchmarks or model experiments.
  </li>
  <li>
   Confident debugging skills in Linux, with curiosity about model behaviour and system performance.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Unlimited annual leave
  </li>
  <li>
   Up to 5% matched pension
  </li>
  <li>
   Phantom equity &ndash; share in Graphcore&rsquo;s success
  </li>
  <li>
   True flexibility in how and where you work
  </li>
  <li>
   Office spaces designed for collaboration
  </li>
  <li>
   Free food and an on-site barista
  </li>
  <li>
   Health cash plan
  </li>
  <li>
   Income protection
  </li>
  <li>
   Life assurance
  </li>
  <li>
   Along with other benefits you can choose from (private medical insurance, dental plan etc)
   <br/>
   <br/>
  </li>
 </ul>
 We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work.
 <br/>
 <br/>
 We&rsquo;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&rsquo;re happy to support you.
 <br/>
 <br/>
 Join the Team at Graphcore
 <br/>
 <br/>
 Graphcore is one of the world&rsquo;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.
 <br/>
 <br/>
 As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world&rsquo;s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.
 <br/>
 <br/>
 Graphcore&rsquo;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.
 <br/>
 <br/>
 If you want to validate the systems behind next generation AI compute, we&rsquo;d love to hear from you. Apply now to help build what comes next.
</div>


Senior Engineer (ML Engineer)

<div><h3 class="jobSectionHeader"><b>About the job</b></h3>
<p>
Validate the ML stack that turns accelerator hardware into trusted AI performance.</p>
<p>
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.</p>
<p>
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.</p>
<p>
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.</p>
<p>
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.</p>
<h3 class="jobSectionHeader"><b>
The team and culture</b></h3>
<p>
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.</p>
<p>
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.</p>
<p>
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.</p>
<h3 class="jobSectionHeader"><b>
What we're looking for</b></h3>
<ul><li>Strong experience in Machine Learning or ML-adjacent software engineering roles.</li><li>A solid grasp of neural networks, training, inference, numerical precision and performance trade-offs.</li><li>Hands-on experience with PyTorch, TensorFlow, JAX, Triton or similar ML frameworks and tools.</li><li>Strong Python skills for automation, experimentation, benchmarking and reporting.</li><li>Experience designing, running and analysing ML benchmarks or model experiments.</li><li>Confident debugging skills in Linux, with curiosity about model behaviour and system performance.</li></ul>
<h3 class="jobSectionHeader"><b>
Benefits</b></h3>
<ul><li>Unlimited annual leave</li><li>Up to 5% matched pension</li><li>Phantom equity &ndash; share in Graphcore's success</li><li>True flexibility in how and where you work</li><li>Office spaces designed for collaboration</li><li>Free food and an on-site barista</li><li>Health cash plan</li><li>Income protection</li><li>Life assurance</li><li>Along with other benefits you can choose from (private medical insurance, dental plan etc)</li></ul>
<p>
We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work.</p>
<p>
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.</p>
<h3 class="jobSectionHeader"><b>
Join the Team at Graphcore</b></h3>
<p>
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.</p>
<p>
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.</p>
<p>
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.</p>
<p>
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.</p></div>

Explore 537+ Qa engineer in London this July. Find roles across top companies and apply now to boost your career.

537 qa engineer jobs In London

QA Engineer

AWS QA Engineer ( App Modernization & AI driven Testing)

Senior QA Automation Engineer

Senior QA Automation Engineer – AI Applications UK

Senior Software Engineer (ML QA)

Senior Engineer (ML Engineer)

Senior Engineer (ML Engineer)