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- Tasks: Join a Greenfield project to shape AI test strategies and ensure quality in FinTech products.
- Company: Wedo partners with an award-winning FinTech specializing in low-cost, multi-currency payments.
- Benefits: Enjoy a hybrid/remote work environment and the chance to innovate with AI technologies.
- Why this job: Be part of a dynamic team driving AI integration in a fast-paced, results-driven setting.
- Qualifications: Strong testing skills, understanding of AI concepts, and excellent communication abilities required.
- Other info: Email your CV to Jack Cole and showcase your achievements with data-driven metrics.
The predicted salary is between 42000 - 84000 £ per year.
Role: Quality Engineer (AI/ML)
Salary: £70,000
Work Environment: Hybrid / Remote First
Industry: FinTech
Wedo is proud to partner with a leading private equity-backed FinTech known for its award-winning product portfolio. This innovative company specialises in low-cost, multi-currency payments, including money transfers, currency hedging, and expense management. They are seeking a QA Engineer to join a Greenfield project and shape the AI test strategy for their 400-person organisation.
Handling millions of payments and issuing thousands of cards annually, the company is ripe for integrating AI into its operations. Exciting opportunities for innovation include:
- Building a chatbot to enhance customer service efficiency.
- Streamlining expense management by automating administrative tasks.
- Leveraging AI for KYC (Know Your Customer) processes.
- Exploring and experimenting with new AI product ideas.
About You
You’re a curious, charismatic Quality Engineer who loves to roll up your sleeves and dive into challenges. Your passion for AI extends beyond your professional life you’re likely already exploring the latest AI platforms and tools. A natural problem solver, you understand that while AI isn’t a universal solution, its potential is immense when applied in the right areas. You also know that automating AI testing comes second to exploratory and manual testing efforts in delivering quality outcomes.
Role & Responsibilities:
- Develop and execute assurance strategies for AI-related projects.
- Identify where and when test automation can be most effective.
- Evaluate and recommend tools best suited for AI test automation.
- Create, review, and execute comprehensive test plans and charters.
- Foster strong stakeholder relationships.
- Assess release readiness in a fast-paced Continuous Release environment.
What We’re Looking For:
- Strong skills in testing fundamentals: planning, exploratory testing, structured testing, and automation.
- A solid understanding of AI concepts (e.g., generative vs. predictive AI, model training fundamentals).
- The ability to thrive in a fast-paced, results-driven Greenfield project environment.
- Pragmatic decision-making and excellent prioritisation skills.
- Exceptional relationship-building capabilities.
- A commitment to delivering high-quality software through problem-solving and critical thinking.
- Outstanding communication and leadership skills, with a focus on cross-functional collaboration.
Ready to Apply?
If this role excites you and aligns with your expertise, we’d love to hear from you! Highlight your experience and share why you’re the perfect fit.
How to Apply:
- Email your CV to Jack Cole at jack.cole@wedotech.uk.
- Stay connected with the latest opportunities by following Wedo’s page.
Pro Tip: When submitting your CV, use data-driven metrics to showcase your achievements and storytelling skills to demonstrate your impact.
Quality Engineer (AI/ML Products) employer: WeDo
Contact Detail:
WeDo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quality Engineer (AI/ML Products)
✨Tip Number 1
Familiarize yourself with the latest AI testing tools and platforms. Since the role emphasizes AI test automation, showcasing your hands-on experience with these tools during the interview can set you apart.
✨Tip Number 2
Prepare to discuss specific examples of how you've implemented exploratory testing in previous projects. This will demonstrate your problem-solving skills and your ability to adapt in a fast-paced environment.
✨Tip Number 3
Highlight your experience in building strong stakeholder relationships. Be ready to share instances where your communication and collaboration skills led to successful project outcomes.
✨Tip Number 4
Stay updated on the latest trends in AI and FinTech. Being knowledgeable about current innovations can help you engage in meaningful conversations during interviews and show your passion for the industry.
We think you need these skills to ace Quality Engineer (AI/ML Products)
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience in quality engineering, particularly in AI/ML projects. Use specific examples that showcase your skills in testing fundamentals and your understanding of AI concepts.
Use Data-Driven Metrics: When detailing your achievements, incorporate data-driven metrics to quantify your impact. This could include improvements in testing efficiency, reduction in bugs, or successful project completions.
Showcase Problem-Solving Skills: Demonstrate your problem-solving abilities by providing examples of challenges you've faced in previous roles and how you overcame them. This aligns with the company's focus on critical thinking and delivering high-quality software.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also conveys your passion for AI and your excitement about the opportunity to work on innovative projects. Make it personal and engaging to stand out.
How to prepare for a job interview at WeDo
✨Show Your Passion for AI
Make sure to express your enthusiasm for AI and how it relates to your work. Share examples of AI platforms or tools you've explored, and discuss how you envision integrating AI into quality assurance processes.
✨Demonstrate Testing Fundamentals
Be prepared to discuss your experience with various testing methodologies, including exploratory and structured testing. Highlight specific projects where you successfully implemented these strategies, especially in fast-paced environments.
✨Communicate Effectively
Since strong communication skills are essential for this role, practice articulating your thoughts clearly. Be ready to explain complex AI concepts in simple terms and showcase your ability to build relationships with stakeholders.
✨Prepare Data-Driven Metrics
When discussing your past achievements, use data-driven metrics to quantify your impact. This could include improvements in testing efficiency, reduction in bugs, or successful project completions that demonstrate your problem-solving skills.
