Autodesk

1 month ago

Senior Machine Learning Test Engineer United Kingdom

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Join Autodesk's Research Enablement team as a Senior ML QA Engineer to define and uphold quality for ML systems, spanning data, models, and deployment. You'll design evaluation suites, automate testing, and contribute to MLOps practices while collaborating with researchers, ML engineers, and software engineers across global locations to ship reliable CAD-enabled ML capabilities.

Location: London, Cambridge, Sheffield

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Define ML quality strategy and acceptance criteria across data, model, and system levels
•Design and maintain model evaluation suites, metrics, and test datasets
•Evaluating CAD RL model outputs for geometric validity or policy stability
•Defining structured rubrics that translate qualitative findings into measurable evaluation gates
•Testing ML Models from product side
•API Testing
•Automate ML QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins)
•Create and maintain test harnesses for ML services and APIs
•Mentor teams on ML QA best practices and consistent evaluation standards
•Build quality gates for training and deployment pipelines (e.g., regression checks, drift detection)
•Contribute to multi-team projects and codebases, ensuring code quality and consistency
•Participate in code reviews and provide constructive feedback to peers
•Document and present findings and ideas across the company

Key Requirements

•Bachelor’s degree in Computer Science, Engineering, or equivalent experience
•7+ years of professional experience in software engineering or QA for ML/AI systems
•Strong programming skills in Python, with experience in test automation
•Familiarity with popular CAD environments tooling
•Proficient in Automation and UAT test suite/framework
•Experience designing QA frameworks or platforms used by multiple teams
•Excellent problem-solving skills and attention to detail
•Strong communication and collaboration skills
•Understanding of software architecture and design patterns
•Ability to work in an agile development environment

Experience:7+ yearsMachine learningQaCadMlAutomation

Education:Bachelor's

Skills:CommunicationCollaborationProblem-solvingDetail-orientedTeam-player

Tech Stack:PythonGitHub ActionsJenkinsPyTorchTensorFlowAirflowMetaflowMLflowCADGreat Expectations

Company Brief

Autodesk

Provides design and engineering software for architecture, construction, manufacturing, media, and entertainment industries, offering CAD, BIM, and 3D modeling tools to enable product and infrastructure design workflows.

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Rafael, United States

Founded: 1982

Glassdoor: 3.9

Website LinkedIn Glassdoor

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Autodesk

1 month ago

Senior Machine Learning Test Engineer United Kingdom

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Location: London, Cambridge, Sheffield

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Define ML quality strategy and acceptance criteria across data, model, and system levels
•Design and maintain model evaluation suites, metrics, and test datasets
•Evaluating CAD RL model outputs for geometric validity or policy stability
•Defining structured rubrics that translate qualitative findings into measurable evaluation gates
•Testing ML Models from product side
•API Testing
•Automate ML QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins)
•Create and maintain test harnesses for ML services and APIs
•Mentor teams on ML QA best practices and consistent evaluation standards
•Build quality gates for training and deployment pipelines (e.g., regression checks, drift detection)
•Contribute to multi-team projects and codebases, ensuring code quality and consistency
•Participate in code reviews and provide constructive feedback to peers
•Document and present findings and ideas across the company

Key Requirements

•Bachelor’s degree in Computer Science, Engineering, or equivalent experience
•7+ years of professional experience in software engineering or QA for ML/AI systems
•Strong programming skills in Python, with experience in test automation
•Familiarity with popular CAD environments tooling
•Proficient in Automation and UAT test suite/framework
•Experience designing QA frameworks or platforms used by multiple teams
•Excellent problem-solving skills and attention to detail
•Strong communication and collaboration skills
•Understanding of software architecture and design patterns
•Ability to work in an agile development environment

Experience:7+ yearsMachine learningQaCadMlAutomation

Education:Bachelor's

Skills:CommunicationCollaborationProblem-solvingDetail-orientedTeam-player

Tech Stack:PythonGitHub ActionsJenkinsPyTorchTensorFlowAirflowMetaflowMLflowCADGreat Expectations

Company Brief

Autodesk

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Rafael, United States

Founded: 1982

Glassdoor: 3.9

Website LinkedIn Glassdoor