At a Glance
- Tasks: Lead quality assurance for AI models and design evaluation frameworks.
- Company: Mastek, a forward-thinking tech company with a flexible work culture.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborate with top engineering teams and influence real-world AI applications.
- Why this job: Join us to shape the future of AI and ensure fairness in technology.
- Qualifications: 5+ years in QA/Software Engineering, with 2-3 years in AI/ML testing.
The predicted salary is between 60000 - 80000 £ per year.
We are looking for a Senior AI Model Tester to drive the quality, reliability, and performance of AI/ML systems across critical business use cases.
Key Responsibilities
- Lead AI model quality assurance, evaluation, and benchmarking strategy
- Design frameworks to evaluate accuracy, drift, bias, and performance under stress
- Define and track AI KPIs (precision, recall, LLM evaluation metrics)
- Build automated validation pipelines across lower environments and path-to-live
- Identify and mitigate bias, rogue outputs, and model disparities
- Develop synthetic datasets & test scenarios (including corrupt data handling)
- Establish data quality standards for fair AI outcomes
- Implement MLOps practices within CI/CD pipelines
- Collaborate closely with engineering and DevOps teams
Required Experience
- 5+ years in QA / Software Engineering / Automation Testing
- 2–3 years specifically in AI/ML model testing
- Strong expertise in Python / Java and statistical analysis
- Deep understanding of AI/ML lifecycle and evaluation frameworks
- Experience with tools like LangSmith, Fiddler, InspectAI, OpenAI Evals
- Strong SQL skills and experience with large-scale or unstructured datasets / vector DBs
Education
- Bachelor’s or Master’s in Data Science, Computer Science, Statistics, or related field
Why Join?
- Work on cutting-edge AI systems in real-world deployments
- Influence model governance, fairness, and performance standards
- Collaborate with high-impact engineering and AI teams
If you're passionate about ensuring AI systems are accurate, fair, and production-ready, we'd love to hear from you.
Senior AI Model Tester in Reading employer: Mastek
At Mastek, we pride ourselves on being an excellent employer that fosters a culture of innovation and collaboration. As a Senior AI Model Tester, you will have the opportunity to work on cutting-edge AI systems in a flexible hybrid environment, ensuring your contributions directly impact model governance and performance standards. With a strong focus on employee growth and development, we offer a supportive atmosphere where your expertise in AI/ML can thrive, making your work both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Model Tester in Reading
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Mastek!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior AI Model Tester at Mastek.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Mastek.
✨Apply Directly through Our Website
When you find a suitable opening like Senior AI Model Tester at Mastek, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior AI Model Tester in Reading
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Mastek, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Mastek. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Mastek
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Mastek!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
