QA Engineer (AI/ML)

QA Engineer (AI/ML)

London Full-Time 70000 £ / year No home office possible
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At a Glance

  • Tasks: Join a Greenfield project to shape AI test strategies and enhance payment solutions.
  • Company: Work with a leading FinTech known for innovative, low-cost payment solutions.
  • Benefits: Enjoy a hybrid/remote work environment and a competitive salary of £70,000.
  • Why this job: Be part of exciting AI innovations that improve customer service and streamline processes.
  • Qualifications: Curiosity and problem-solving skills in AI testing are essential; experience in QA is a plus.
  • Other info: Opportunity to explore new AI product ideas and make a real impact.

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 (url removed). 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

QA Engineer (AI/ML) employer: WeDoTech

Wedo is an exceptional employer that fosters a dynamic and innovative work culture, perfect for a QA Engineer passionate about AI/ML. With a hybrid/remote-first environment, employees enjoy flexibility while contributing to groundbreaking projects in the FinTech space. The company not only offers competitive salaries but also prioritizes employee growth through continuous learning opportunities and the chance to shape the future of AI integration in financial services.
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Contact Detail:

WeDoTech Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land QA Engineer (AI/ML)

✨Tip Number 1

Familiarize yourself with the latest AI testing tools and frameworks. Since this role emphasizes shaping the AI test strategy, having hands-on experience with popular tools will give you an edge.

✨Tip Number 2

Showcase your problem-solving skills by preparing examples of how you've tackled challenges in previous QA roles. This will demonstrate your ability to think critically and adapt in a fast-paced environment.

✨Tip Number 3

Engage with the FinTech community online. Join forums or social media groups where discussions about AI in finance take place. This can help you stay updated on industry trends and network with potential colleagues.

✨Tip Number 4

Prepare to discuss innovative ideas for integrating AI into QA processes. Think about how you can leverage AI to enhance testing efficiency and quality, as this aligns perfectly with the company's goals.

We think you need these skills to ace QA Engineer (AI/ML)

Quality Assurance
AI/ML Testing
Exploratory Testing
Automation Testing
Test Strategy Development
Problem-Solving Skills
Attention to Detail
Understanding of FinTech Industry
Experience with KYC Processes
Familiarity with AI Platforms and Tools
Communication Skills
Collaboration Skills
Adaptability
Analytical Skills

Some tips for your application 🫡

Understand the Role: Make sure to thoroughly read the job description for the QA Engineer position. Understand the specific requirements and responsibilities, especially those related to AI/ML testing.

Highlight Relevant Experience: In your CV and cover letter, emphasize any previous experience you have with AI/ML projects, particularly in quality assurance. Mention specific tools or methodologies you've used that align with the company's needs.

Showcase Your Passion for AI: Demonstrate your enthusiasm for AI in your application. Share any personal projects, research, or tools you are currently exploring that relate to AI and how they could benefit the role.

Tailor Your Application: Customize your CV and cover letter to reflect the language and values of the company. Use keywords from the job description to ensure your application resonates with the hiring team.

How to prepare for a job interview at WeDoTech

✨Show Your Passion for AI

Make sure to express your enthusiasm for AI and machine learning during the interview. Share any personal projects or experiences you've had with AI tools, as this will demonstrate your genuine interest and proactive approach in the field.

✨Prepare for Technical Questions

Expect technical questions related to quality assurance processes, especially in the context of AI/ML. Brush up on your knowledge of testing strategies, automation tools, and how they apply to AI systems to showcase your expertise.

✨Highlight Problem-Solving Skills

Be ready to discuss specific challenges you've faced in previous roles and how you approached solving them. This will illustrate your critical thinking and problem-solving abilities, which are essential for a QA Engineer in a fast-paced environment.

✨Understand the Company’s Products

Research the company’s product portfolio and understand their focus on low-cost, multi-currency payments. Being knowledgeable about their offerings will allow you to tailor your responses and show that you're genuinely interested in contributing to their innovative projects.

QA Engineer (AI/ML)
WeDoTech
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  • QA Engineer (AI/ML)

    London
    Full-Time
    70000 £ / year

    Application deadline: 2027-02-01

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    WeDoTech

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