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About the role
- AI Assurance Lead at Thales UK, championing AI assurance practices for machine learning projects. Support high standards of ethics, safety, reliability, and legal compliance in AI solutions.
Responsibilities
- Develop and Implement AI Assurance Frameworks: Create and maintain comprehensive assurance frameworks for AI systems, ensuring alignment with internal and external standards (e.g. ISO/IEC, NIST, UK/EU, UK Defence standards and regulations).
- Governance and Risk Management: Lead AI risk assessments and compliance checks, identifying and mitigating risks related to safety, ethics, data privacy, robustness, and explainability.
- Stakeholder Engagement: Collaborate with engineering, product management, legal, and operational teams to ensure AI assurance requirements are captured and met throughout project lifecycles.
- Audit and Review: Manage independent assurance audits, drive continuous improvement through lessons learned, and report key findings and recommendations to executive leadership.
- Training and Awareness: Develop and deliver AI assurance training, promoting a culture of responsible innovation throughout Thales UK’s AI community.
- Reporting & Documentation: Lead the creation and maintenance of assurance documentation, evidencing compliance for internal and external stakeholders.
- External Engagement: Represent Thales UK in relevant industry forums, regulatory engagements, and standardisation activities related to AI assurance and trustworthiness.
Requirements
- Proven experience in AI/ML assurance, validation, governance or compliance within highly regulated or safety-critical domains.
- Deep understanding of AI/ML technologies and their risk landscape (bias, explainability, robustness, etc).
- Sound knowledge of national/international AI assurance standards and regulatory frameworks.
- Demonstrable expertise in risk management, audit, and quality assurance methodologies.
- Excellent communication skills, with the ability to engage technical and non-technical audiences, including senior stakeholders.
- Experience leading cross-functional teams within complex organisations.
- Relevant degree (e.g. computer science, engineering, mathematics, information security); advanced or professional qualifications an advantage.
Benefits
- Flexible and hybrid working arrangements.
- Access to training, professional development and Thales global AI communities.
- Competitive salary, benefits, and a vibrant, inclusive workplace.
Job title
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