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- Tasks: Design and execute QA strategies for AI/ML systems in a fast-paced environment.
- Company: Join a multi-award-winning recruitment business focused on innovative AI solutions.
- Benefits: Competitive daily rate, high-impact role, and opportunity to work with cutting-edge technology.
- Why this job: Make a real difference by ensuring AI models are robust, ethical, and production-ready.
- Qualifications: Experience in QA/testing of AI systems and strong understanding of AI governance frameworks.
- Other info: Must have valid SC Clearance; based in Canary Wharf.
Rate: ÂŁ450 - ÂŁ550 per day
Contract Length: 3 months
Location: Canary Wharf
SC Clearance: Candidates must have a valid SC Clearance to be considered, this normally involves having worked in central government in the last 12 months.
Overview
We are seeking an experienced AI QA Tester to support the testing and validation of AI/ML systems within a fastâpaced, deliveryâfocused environment. This role will play a critical part in ensuring AI models are robust, ethical, compliant, and productionâready.
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
- Handsâon experience with data testing approaches, including synthetic data and data quality frameworks
- Strong documentation skills with a structured approach to defect lifecycle management
Details
ÂŁ450-ÂŁ550 per day (inside of IR35)
Highâimpact role working on cuttingâedge AI systems
Based in Canary Wharf
Candidates must have a valid SC Clearance
Databricks Architect in London employer: Morgan Hunt UK Limited
Contact Detail:
Morgan Hunt UK Limited Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Databricks Architect in London
â¨Tip Number 1
Network like a pro! Reach out to folks in your industry, especially those who work with AI and ML. Attend meetups or webinars, and donât be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
â¨Tip Number 2
Show off your skills! Create a portfolio showcasing your QA strategies and testing methodologies. If youâve got experience with AI models, make sure to highlight that. A strong portfolio can really set you apart from the crowd.
â¨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AI governance frameworks and bias detection techniques. Be ready to discuss how youâve tackled these issues in past roles. Confidence is key, so practice makes perfect!
â¨Tip Number 4
Donât forget to apply through our website! Weâve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, itâs super easy to keep track of your applications!
We think you need these skills to ace Databricks Architect in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV is tailored to the AI QA Tester role. Highlight your experience with AI/ML systems and any relevant testing methodologies you've used. We want to see how your skills match what we're looking for!
Showcase Your Skills: In your cover letter, donât just list your skillsâshow us how youâve applied them in real-world scenarios. Talk about specific projects where you validated AI models or executed comprehensive QA strategies. This helps us see your practical experience!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for key achievements and avoid jargon unless it's relevant. We appreciate straightforward communication that gets right to the heart of your qualifications.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures youâre considered for the role. Plus, itâs super easy to do!
How to prepare for a job interview at Morgan Hunt UK Limited
â¨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 youâre not just familiar with the concepts but have practical experience.
â¨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 AI systems before. This will demonstrate your commitment to ethical AI practices, which is crucial for this role.
â¨Showcase Your Documentation Skills
Since strong documentation skills are a must, think of examples where youâve 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.
â¨Collaborate Like a Pro
Collaboration is key in this role, so think of times when youâve 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.
