Morela is proud to be supporting our client in finding top-tier AI Assurance and Risk Management experts to join a high-profile programme. Opportunities like this don’t come around often, so if you’re at the forefront of AI assurance, we want to hear from you—or feel free to share with your network.
Maximise your chances of a successful application to this job by ensuring your CV and skills are a good match.
Contract Details:
* Duration: 3 years
* IR35: Inside
* Clearance: SC or DV required
* Day Rate: £600–£800 (depending on experience)
Role Purpose:
You will work with a specialist team to embed trust, safety, and responsibility in AI adoption, ensuring AI systems meet strict ethical, technical, and regulatory standards through robust assurance frameworks and risk assessments.
Key Responsibilities:
* Develop and implement AI risk management and assurance frameworks
* Conduct technical evaluations and TEVV activities for AI/ML solutions
* Advise on model explainability, bias detection, robustness, and resilience testing
* Guide project teams and suppliers in embedding assurance into AI/ML Ops lifecycle
* Act as a trusted advisor to senior stakeholders on AI governance and risk
Required Experience:
* Expertise in AI assurance, risk management, or AI safety frameworks
* Hands-on experience with AI tools and operational pipelines
* Knowledge of regulatory and ethical requirements in Defence or other high-stakes industries
* Experience integrating assurance into ML Ops pipelines
* Degree or equivalent in AI/ML, data science, or related field
* Proven client-side leadership in regulated environments
Desirable:
* Familiarity with generative AI safety challenges
* Publications or thought leadership in AI assurance
* Prior Defence or secure environment experience
Core Competencies:
* Detail-oriented and analytical
* Ethical leadership and integrity
* Clear communication across technical and non-technical audiences
Morela is proud to support our client in this critical AI assurance programme. Don’t miss this rare opportunity to shape the future of responsible AI.