AI-Driven Audit UX Designer

AI-Driven Audit UX Designer

Full-Time 50000 - 70000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design AI-driven audit products with user-friendly interfaces and ensure compliance.
  • Company: Queen Square Recruitment, a forward-thinking recruitment agency.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with diverse teams and exciting projects.
  • Why this job: Shape the future of audits with innovative AI technology and impactful design.
  • Qualifications: Experience in UI/UX design and a passion for creating accessible products.

The predicted salary is between 50000 - 70000 Β£ per year.

Queen Square Recruitment is seeking a UI/UX Specialist to design AI-enabled audit products, bridging ML outputs with clear, trustworthy interfaces for regulated workflows.

Hybrid UK-based role.

You will collaborate with product managers, data scientists, engineers and stakeholders to shape digitised audits, ensure accessibility, explainability, and compliance across the product lifecycle.

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AI-Driven Audit UX Designer employer: Queen Square Recruitment

As an Operational Acceptance Test (OAT) Lead, you will join a dynamic and innovative team within a global technology and consulting organisation that prioritises employee growth and development. Our collaborative work culture fosters creativity and encourages you to take ownership of your projects, while our commitment to large-scale transformation programmes ensures that your contributions have a meaningful impact on critical national infrastructure services. With access to modern cloud technologies and a focus on service transition practices, this role offers unique opportunities for professional advancement in a complex enterprise environment.

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Contact Details:

Queen Square Recruitment Recruitment Team

We think you need these skills to ace AI-Driven Audit UX Designer

UI/UX Design
AI-Enabled Product Design
Machine Learning Understanding
Collaboration Skills
Accessibility Standards
Explainability in AI
Compliance Knowledge