Senior Machine Learning Test Engineer United Kingdom

Autodesker
Newbury, UK
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Computer-Aided Design Agile Methodology Artificial Intelligence Airflow Amazon Web Services Microsoft Azure Software Quality Code Review Computer Programming Continuous Integration Data Validation Github
+19 more
Monitoring of Systems Python (Programming Language) Machine Learning Software Architecture Tensorflow Azure Machine Learning Software Engineering Strategies of Testing Workflow Management Systems Google Cloud Comet Programming Pytorch Delivery Pipeline Model Validation Information Technology Machine Learning Operations Autodesk Autocad Data Pipelines Jenkins

Job description

Job Requisition ID #26WD98891Position OverviewAs a Senior Machine Learning QA Engineer in the Research Enablement team, you will work side-by-side with researchers, Machine Learning Engineers and software engineers to define and uphold quality standards for ML systems. You are a quality-focused engineer who is passionate about reliable, repeatable evaluation of ML models and data. Your skills span test strategy, automation, and a little MLOps, with a strong software engineering base. You are excited to collaborate across research and product to ship ML capabilities with clear quality gates. You are comfortable working at the intersection of research and product and are competent in using Autodesk CAD software.Reporting Structure: You will report to an Engineering Manager in Research Enablement.Location: United Kingdom We are a global team, located in London, San Francisco, Toronto, and remotely. Autodesk is a hybrid-first company, allowing workers to work remotely, in an office, or a

Requirements

mix of both.ResponsibilitiesDefine ML quality strategy and acceptance criteria across data, model, and system levelsDesign and maintain model evaluation suites, metrics, and test datasetsEvaluating CAD RL model outputs for geometric validity or policy stabilityDefining structured rubrics that translate qualitative findings into measurable evaluation gatesTesting ML Models from product sideAPI TestingAutomate ML QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins)Create and maintain test harnesses for ML services and APIsMentor teams on ML QA best practices and consistent evaluation standardsBuild quality gates for training and deployment pipelines (e.g., regression checks, drift detection)Contribute to multi-team projects and codebases, ensuring code quality and consistencyParticipate in code reviews and provide constructive feedback to peersDocument and present findings and ideas across the companyMinimum QualificationsBachelor’s degree in Computer Science, Engineering, or equivalent experience7+ years of professional experience in software engineering or QA for ML/AI systemsStrong programming skills in Python, with experience in test automationFamiliarity with popular CAD environments toolingProficient in Automation and UAT test suite/frameworkExperience designing QA frameworks or platforms used by multiple teamsExcellent problem-solving skills and attention to detailStrong communication and collaboration skillsUnderstanding of software architecture and design patternsAbility to work in an agile development environmentPreferred QualificationsExperience with data validation tooling (e.g., Great Expectations) or labeling workflowsFamiliarity with ML frameworks (e.g., PyTorch, TensorFlow)Experience with CI/CD tools and processesExperience with data pipelines and orchestration tools (e.g., Airflow, Metaflow)Familiarity with MLOps practices (model monitoring, drift, deployment checks)Experience with ML evaluation methods, metrics, and benchmarkingPassion for learning new technologies and improving existing systemsExperience with cloud providers (e.g., AWS, Azure, Google Cloud Platform)Experience testing ML services in production environmentsKnowledge of experiment tracking tools (e.g., Comet, MLflow, Weights & Biases)The Ideal CandidateYou demonstrate initiative to provide solutions and to learn and develop new technologiesComfortable building QA systems from scratch and writing maintainable automationYou enjoy learning and collaborating across global locationsYou are comfortable working in newly forming ambiguous areasYou are comfortable building scalable and maintainable systems that will be relied on by othersYou can communicate well with others#LI-JK3Learn MoreAbout AutodeskWelcome to Autodesk! Amazing things are created every day with our software - 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

Benefits & conditions

things are made, but what can be made.We take great pride in our culture here at Autodesk - it’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.When you’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!Salary transparencySalary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’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.BelongingWe take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site).SummaryLocation: London, GBR; United Kingdom - Remote; Cambridge, GBR; Birmingham, GBR; Sheffield, GBP; Newcastle upon Tyne, GBR; Newbury, GBRType: Full time

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