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For Companies At a Glance
- Tasks: Test and validate cutting-edge AI/ML systems in a fast-paced environment.
- Company: Join a multi-award-winning recruitment business with a focus on innovation.
- Benefits: Competitive daily rate, impactful work, and opportunities for professional growth.
- Why this job: Make a real difference in the AI field while ensuring ethical and robust models.
- Qualifications: Experience in QA/testing of AI systems and strong understanding of validation methodologies.
- Other info: Must have valid SC Clearance; dynamic role with excellent career prospects.
Rate: £450 - £550 per day
Contract Length: 3 months
Location: Glasgow
Overview
We are seeking an experienced AI QA Tester to support the testing and validation of AI/ML systems within a fast-paced, delivery-focused environment. This role will play a critical part in ensuring AI models are robust, ethical, compliant, and production-ready.
Key Responsibilities
- Design and execute comprehensive QA strategies for AI/ML systems, covering functional, integration, performance, and security testing
- Validate AI models using appropriate testing methodologies, performance metrics, and evaluation techniques
- Assess AI systems against governance frameworks and responsible AI principles, including bias detection and mitigation
- Perform data testing, including synthetic data generation, data quality assessment, and test data management
- Identify, document, and manage defects through the full defect lifecycle, including creation, review, assessment, confirmation testing, and closure or deferral
- Collaborate with data scientists, engineers, and stakeholders to ensure testing outcomes are clearly communicated and actioned
Required Skills & Experience
- Proven experience in QA/testing of AI and ML systems
- Strong understanding of AI model validation, testing methodologies, and performance metrics
- In-depth knowledge of AI governance frameworks, responsible AI, and bias detection/mitigation techniques
- Expertise in building and executing end-to-end testing strategies for AI platforms
- Hands-on experience with data testing approaches, including synthetic data and data quality frameworks
- Strong documentation skills with a structured approach to defect lifecycle management
Details:
- £450-£550 per day (inside of IR35)
- High-impact role working on cutting-edge AI systems based in Glasgow
- Candidates must have a valid SC Clearance
AI QA Tester (SC Cleared) in Glasgow employer: Morgan Hunt UK Limited
Contact Detail:
Morgan Hunt UK Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI QA Tester (SC Cleared) in Glasgow
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and QA fields, especially those who have worked in central government. They might have insider info on job openings or can even refer you directly.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of AI governance frameworks and testing methodologies. We recommend practising common interview questions related to bias detection and performance metrics to show you're the right fit.
✨Tip Number 3
Don’t just apply anywhere; focus on roles that excite you! Use our website to find positions that match your skills and interests. Tailor your approach to each application to stand out from the crowd.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Plus, it shows your enthusiasm for the role and helps build rapport with potential employers.
We think you need these skills to ace AI QA Tester (SC Cleared) in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in QA/testing of AI and ML systems. We want to see how your skills match the job description, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the AI QA Tester role. Share specific examples of your work with AI models and how you’ve tackled challenges in the past.
Showcase Your Documentation Skills: Since strong documentation skills are key for this role, make sure to mention any experience you have with defect lifecycle management. We love seeing structured approaches, so give us the details!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Morgan Hunt UK Limited
✨Know Your AI QA Stuff
Make sure you brush up on your knowledge of AI and ML testing methodologies. Be ready to discuss specific strategies you've used in the past, especially around validation and performance metrics. This will show that you’re not just familiar with the concepts but have practical experience.
✨Understand Governance Frameworks
Familiarise yourself with AI governance frameworks and responsible AI principles. Be prepared to talk about how you've identified and mitigated bias in previous projects. This will demonstrate your commitment to ethical AI practices, which is crucial for this role.
✨Showcase Your Documentation Skills
Since strong documentation skills are a must, think of examples where you’ve effectively managed the defect lifecycle. Bring along samples or be ready to explain your structured approach to defect management. This will highlight your attention to detail and organisational skills.
✨Collaborate Like a Pro
Collaboration is key in this role, so think of times when you’ve worked closely with data scientists or engineers. Be ready to share how you communicated testing outcomes and ensured everyone was on the same page. This will show that you can work well in a team-focused environment.
