At a Glance
- Tasks: Define quality standards for ML systems and automate QA workflows using Python.
- Company: Join a cutting-edge tech company focused on machine learning innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on learning and development.
- Why this job: Make a real impact in the ML field while collaborating with top researchers and engineers.
- Qualifications: 7+ years in software engineering or QA for ML/AI systems, strong Python skills required.
The predicted salary is between 70000 - 90000 £ per year.
As 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.
Responsibilities
- Define ML quality strategy and acceptance criteria across data, model, and system levels
- Design and maintain model evaluation suites, metrics, and test datasets
- Evaluate CAD RL model outputs for geometric validity or policy stability
- Define structured rubrics that translate qualitative findings into measurable evaluation gates
- Test 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
Qualifications
- 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 with data validation tooling (e.g., Great Expectations) or labeling workflows
- Familiarity with ML frameworks (e.g., PyTorch, TensorFlow)
- Experience with CI/CD tools and processes
- Experience 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 benchmarking
- Passion for learning new technologies and improving existing systems
- Experience with cloud providers (e.g., AWS, Azure, Google Cloud Platform)
- Experience testing ML services in production environments
- Knowledge of experiment tracking tools (e.g., Comet, MLflow, Weights & Biases)
Ideal Candidate
- Demonstrate initiative to provide solutions and to learn and develop new technologies
- Comfortable building QA systems from scratch and writing maintainable automation
- Enjoy learning and collaborating across global locations
- Comfortable working in newly forming ambiguous areas
- Comfortable building scalable and maintainable systems that will be relied on by others
- Can communicate well with others
Senior Machine Learning Test Engineer United Kingdom in Newbury employer: Autodesk
As a Senior Machine Learning QA Engineer in the Research Enablement team, you will thrive in a collaborative and innovative work culture that prioritises quality and continuous improvement. The company offers exceptional employee growth opportunities through mentorship and cross-team projects, alongside competitive benefits that support work-life balance. Located in the United Kingdom, this role provides a unique chance to engage with cutting-edge technology while contributing to impactful ML systems.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Test Engineer United Kingdom in Newbury
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects and testing strategies. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common ML QA scenarios. Think about how you'd tackle real-world problems and be ready to discuss your thought process.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team and contributing to our mission.
We think you need these skills to ace Senior Machine Learning Test Engineer United Kingdom in Newbury
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience in ML QA, automation, and any relevant projects you've worked on. We want to see how you fit into our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about quality in ML systems and how your background makes you a great fit for the role. We love seeing enthusiasm and a personal touch.
Showcase Your Technical Skills:Don’t forget to mention your programming skills, especially in Python, and any experience with CI/CD tools. If you've worked with CAD software or ML frameworks, make sure to include that too. We’re looking for someone who can hit the ground running!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Autodesk
✨Know Your ML Inside Out
Make sure you brush up on your machine learning concepts, especially around evaluation methods and metrics. Be ready to discuss how you would define quality standards for ML systems and share examples from your past experiences.
✨Showcase Your Automation Skills
Prepare to talk about your experience with test automation, particularly in Python. Have specific examples ready where you've automated QA workflows or built test harnesses, and be prepared to discuss the tools you used, like CI/CD processes.
✨Collaboration is Key
Since this role involves working closely with researchers and engineers, think of examples that highlight your collaboration skills. Be ready to discuss how you've mentored teams or contributed to multi-team projects, showcasing your ability to communicate effectively.
✨Get Familiar with CAD Tools
As familiarity with Autodesk CAD software is a requirement, make sure you can speak confidently about your experience with it. If you have any specific projects where you evaluated CAD RL model outputs, be sure to mention those!
