At a Glance
- Tasks: Design and maintain automated test suites for AI applications, ensuring quality and performance.
- Company: Join a leading tech company focused on AI innovation and quality assurance.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with global teams and excellent career advancement opportunities.
- Why this job: Be at the forefront of AI technology and make a real impact in software quality.
- Qualifications: 5+ years in QA automation, strong Python skills, and experience with AI testing tools.
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.
Responsibilities
- Design and maintain automated test suites, evaluation scenarios, metrics, and test datasets for AI‑powered features
- 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
- Create and maintain test harnesses for AI services, applications, and APIs
- Perform API testing for AI services and backend systems
- Define quality strategy and acceptance criteria for AI‑powered applications across functional, API, integration, and AI/ML features
- Test AI/ML applications and machine learning models from a product and user perspective
- Evaluate AI/ML model outputs for correctness, consistency, and expected application behavior
- Define structured rubrics that translate qualitative findings into measurable evaluation gates
- Build quality gates for CI/CD and deployment pipelines, including automated regression and integration testing
- Mentor teams on QA automation best practices and consistent quality standards for AI‑powered applications
- 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
Minimum Qualifications
- Bachelor’s degree in Computer Science, Engineering, or equivalent experience
- 5+ years of professional experience in software quality assurance, test automation, or software engineering
- Strong programming skills in Python, with experience in test automation
- Hands‑on experience using AI‑powered testing tools or AI coding assistants to improve test automation, productivity, and quality
- Experience with CI/CD tools and processes
- Familiarity with popular CAD environments and tooling
- Proficient in automation and UAT test suites/frameworks
- 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
Preferred Qualifications
- Experience testing AI/ML applications or validating machine learning models
- Experience with data validation tooling (e.g., Great Expectations) or labeling workflows
- Familiarity with ML frameworks (e.g., PyTorch, TensorFlow)
- Experience with data pipelines and orchestration tools (e.g., Airflow, Metaflow)
- Knowledge of MLOps practices (e.g., model monitoring, drift detection, deployment validation)
- Knowledge of 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 AI/ML services in production environments
- Knowledge of experiment tracking tools (e.g., Comet, MLflow, Weights & Biases)
The Ideal Candidate
- You demonstrate initiative to provide solutions and to learn and develop new technologies
- Comfortable building QA systems from scratch and writing maintainable automation
- You enjoy learning and collaborating across global locations
- You are comfortable working in newly forming ambiguous areas
- You are comfortable building scalable and maintainable QA automation frameworks that will be relied on by others
- You effectively leverage AI‑powered tools to improve testing workflows and engineering productivity
- You can communicate well with others
Senior QA Automation Engineer – AI Applications UK in Newcastle upon Tyne employer: Autodesk
As a Senior QA Automation Engineer for AI Applications in the UK, you will join a forward-thinking company that prioritises innovation and quality in technology. With a strong emphasis on employee growth, collaborative work culture, and the opportunity to work with cutting-edge AI technologies, this role offers a unique chance to make a significant impact while enjoying a supportive environment that fosters continuous learning and development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior QA Automation Engineer – AI Applications UK in Newcastle upon Tyne
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Autodesk or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Autodesk.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Autodesk.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Autodesk that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior QA Automation Engineer – AI Applications UK in Newcastle upon Tyne
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Autodesk.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Autodesk and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Autodesk
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Autodesk uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
