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- Tasks: Lead AI adoption in high-security projects and enhance risk management frameworks.
- Company: Join a leading firm focused on safe and responsible AI solutions.
- Benefits: Competitive contract, work with top experts, and contribute to national importance projects.
- Why this job: Shape the future of trustworthy AI while ensuring safety and compliance.
- Qualifications: SC clearance, hands-on AI/ML experience, and strong risk management skills.
- Other info: Dynamic role with opportunities to influence high-profile AI initiatives.
The predicted salary is between 48000 - 72000 £ per year.
Technical AI Consultant – Assurance & Risk (SC/DV Cleared)
Location:
London + UK travel |
Contract:
Inside IR35 SC cleared (DV desirable) candidates only. Morela is supporting our client in recruiting a highly skilled
Technical
AI Consultant – Assurance & Risk
to provide technical leadership in the adoption of AI across high-security projects. This is a unique opportunity for a technically strong professional with hands-on AI/ML expertise and a solid background in Assuracne and Risk. Key Responsibilities: Provide
technical guidance on AI adoption , including AI/ML system design, validation, and operational deployment.
Implement and enhance
AI assurance and risk management frameworks
across high-security projects.
Conduct
technical evaluation, testing, and validation
of AI/ML solutions to ensure safety, reliability, and compliance.
Advise teams on
ethical, regulatory, and operational compliance , integrating AI governance into project delivery.
Support safe deployment of AI systems, guiding MLOps best practices and risk mitigation strategies.
Candidate Requirements: Active SC clearance (DV desirable).
Deep technical expertise in AI/ML , including hands-on experience with model development, deployment, and lifecycle management.
Strong experience in
assurance, risk management, or governance
in high-security environments.
Knowledge of relevant standards such as ISO, NIST, and FIPA.
Ability to
translate complex technical concepts
to both technical and non-technical stakeholders.
Experience in embedding
trust, safety, and ethical considerations
into AI adoption.
Why Join: Contribute to
high-profile AI projects
of national importance.
Work alongside leading experts in AI, risk, and assurance.
Shape the
future of safe, responsible, and trustworthy AI
in secure environments.
If you are an SC/DV cleared AI professional with a strong technical background and experience in assurance and risk, please contact me for
immediate consideration .
TPBN1_UKTJ
Technical AI Consultant - Assurance & Risk (SC/DV Cleared) employer: VIQU IT Recruitment
Contact Detail:
VIQU IT Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical AI Consultant - Assurance & Risk (SC/DV Cleared)
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and risk management fields. Attend industry events or webinars to meet potential employers and showcase your expertise. Remember, it's all about who you know!
✨Tip Number 2
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your hands-on experience with AI/ML. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 3
Showcase your projects! Create a portfolio that highlights your work in AI assurance and risk management. Include case studies or examples of how you've implemented AI solutions safely and ethically. This will give you an edge over other candidates.
✨Tip Number 4
Apply through our website! We have loads of exciting opportunities for SC/DV cleared professionals like you. Don’t miss out on the chance to work on high-profile AI projects that make a difference. Get your application in today!
We think you need these skills to ace Technical AI Consultant - Assurance & Risk (SC/DV Cleared)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Technical AI Consultant role. Highlight your hands-on AI/ML expertise and experience in assurance and risk management. We want to see how your skills align with the job description!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention your SC clearance and any relevant projects you've worked on that demonstrate your technical leadership in AI.
Showcase Your Technical Skills: In your application, don’t forget to showcase your deep technical expertise in AI/ML. Include specific examples of model development and deployment, as well as your experience with compliance and risk management frameworks.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for this exciting opportunity in high-security AI projects!
How to prepare for a job interview at VIQU IT Recruitment
✨Know Your AI Inside Out
Make sure you brush up on your AI/ML knowledge before the interview. Be ready to discuss your hands-on experience with model development and deployment, as well as how you've tackled challenges in assurance and risk management. This will show that you're not just familiar with the concepts but have practical expertise.
✨Understand the Compliance Landscape
Familiarise yourself with relevant standards like ISO, NIST, and FIPA. Be prepared to explain how these frameworks apply to AI adoption in high-security environments. This will demonstrate your understanding of the regulatory landscape and your ability to integrate compliance into project delivery.
✨Communicate Clearly with All Stakeholders
Practice translating complex technical concepts into language that non-technical stakeholders can understand. This skill is crucial for a Technical AI Consultant, as you'll need to advise teams on ethical and operational compliance. Use examples from your past experiences to illustrate your communication skills.
✨Showcase Your Ethical Considerations
Be ready to discuss how you've embedded trust, safety, and ethical considerations into AI projects. Highlight specific instances where you've implemented risk mitigation strategies or guided MLOps best practices. This will show that you take the responsible deployment of AI seriously, which is key for this role.
