QA Engineer AI/ML - WeDo Technology Solutions Limited : Job Details

Role: Quality Engineer (AI/ML)Salary: £70,000Work Environment: Hybrid / Remote FirstIndustry: FinTechWedo 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 YouYou’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 [email protected].
• 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.