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AI & Data Software Tester

Careerwise UK


Job Location:

London - UK

Monthly Salary: Not provided by the employer
Posted: 18 October 2026 (Yesterday)
Application Deadline: 15 January 2027
Vacancies: 1 Vacancy

Job Summary

AI & Data Software Tester is required to join a team working on a large scale AI-enabled data programme. You will lead the testing of AI tools that categorise documents making sure they are accurate reliable and explainable.

Responsibilities:

  • Validating AI-enabled categorisation of unstructured documents ensuring results are accurate precise reliable and explainable
  • Validating document migration processes ensuring document handling classification transfer event monitoring and audit controls work accurately and reliably
  • Working closely with technical teams and business stakeholders to identify risks improve quality and build confidence in AI-driven decision making
  • Providing technical assurance across all stages of the project lifecycle
  • Reviewing and validating epics user stories tasks acceptance criteria defects and other Agile artefacts for quality completeness and alignment with business outcomes
  • Monitoring delivery performance and reporting to project managers on progress risks dependencies and quality indicators
  • Assessing the readiness of deliverables to progress through key delivery stages
  • Identifying technical delivery operational and strategic risks and developing and maintaining mitigation plans tracking actions through to resolution

Skills and experience:

  • Extensive experience in software testing with a strong focus on AI/ML data quality and data pipeline testing
  • Experience validating AI-driven classification or categorisation
  • Strong understanding of Agile delivery frameworks and the software development lifecycle
  • Strong analytical skills with excellent attention to detail
  • Experience of document or data migration testing including audit controls will be an advantage

About Company

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Pioneers in applied thinking in the IT industry since 2000.We began with a smart people network of it innovators who wanted architectural decision to be applied in the architectural design, not in the software.

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