QA Engineer, Enterprise AI Platform & Governance

QA Engineer, Enterprise AI Platform & Governance

Full-Time 50000 - 65000 £ / year (est.) No working from home possible
United Cerebral Palsy of Georgia

At a Glance

  • Tasks: Build scalable AI capabilities and develop automated test pipelines.
  • Company: United Cerebral Palsy of Georgia, a leader in AI innovation.
  • Benefits: Inside IR35 contract, hybrid work, and collaborative team environment.
  • Other info: Opportunity to work with ML Engineers and tackle real-world challenges.
  • Why this job: Join a dynamic team and shape the future of AI technology.
  • Qualifications: Experience in quality engineering and automation testing.

The predicted salary is between 50000 - 65000 £ per year.

United Cerebral Palsy of Georgia is seeking a Quality Engineer for their AI Platform Engineering team in Central London. This role, offered as an Inside IR35 Contract, focuses on building scalable and secure AI capabilities across the organization.

The successful candidate will define evaluation frameworks, develop automated test pipelines, and address operational challenges in AI systems. The position involves collaboration with ML Engineers and project teams in a hybrid working environment.

QA Engineer, Enterprise AI Platform & Governance employer: United Cerebral Palsy of Georgia

United Cerebral Palsy of Georgia is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the AI Platform Engineering team. Located in Central London, employees benefit from a hybrid working model that promotes work-life balance, alongside opportunities for professional growth and development in cutting-edge AI technologies. Join us to make a meaningful impact while enjoying a supportive environment that values your contributions.

United Cerebral Palsy of Georgia

Contact Details:

United Cerebral Palsy of Georgia Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land QA Engineer, Enterprise AI Platform & Governance

Tip Number 1

Network like a pro! Reach out to folks in the AI and QA space on LinkedIn or at local meetups. We can’t stress enough how personal connections can lead to job opportunities that aren’t even advertised.

Tip Number 2

Show off your skills! Create a portfolio showcasing your automated test pipelines and any frameworks you've developed. This is your chance to shine and demonstrate your expertise in a tangible way.

Tip Number 3

Prepare for those interviews! Brush up on your knowledge of AI systems and operational challenges. We recommend practising common interview questions with a friend or using mock interview platforms to boost your confidence.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace QA Engineer, Enterprise AI Platform & Governance

Quality Engineering
AI Capabilities Development
Automated Test Pipelines
Evaluation Frameworks
Collaboration with ML Engineers
Operational Challenge Resolution
Scalability in AI Systems

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the QA Engineer role. Highlight your experience with AI systems, automated testing, and any frameworks you've worked with. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about quality engineering in AI and how you can contribute to our team. Keep it concise but impactful – we love a good story!

Showcase Your Collaboration Skills:Since this role involves working closely with ML Engineers and project teams, make sure to mention any collaborative projects you've been part of. We value teamwork, so let us know how you’ve successfully worked with others in the past.

Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!

How to prepare for a job interview at United Cerebral Palsy of Georgia

Know Your AI Basics

Make sure you brush up on your understanding of AI systems and their operational challenges. Be ready to discuss how you would approach building scalable and secure AI capabilities, as this will show your potential employer that you’re not just familiar with the tech but can also think critically about its application.

Showcase Your Testing Skills

Prepare to talk about your experience with automated test pipelines. Bring examples of frameworks you've defined or used in the past, and be ready to explain how they improved the quality of the software. This will demonstrate your hands-on expertise and problem-solving abilities.

Collaboration is Key

Since this role involves working closely with ML Engineers and project teams, think of examples where you successfully collaborated in a team setting. Highlight your communication skills and how you’ve navigated challenges in a hybrid working environment, as this will resonate well with the interviewers.

Ask Insightful Questions

Prepare some thoughtful questions about the company’s AI initiatives and the specific challenges they face. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values. Plus, it gives you a chance to engage in a meaningful conversation during the interview.