AI Assurance Specialist - Mission Systems & Edge Deployments SME

VIQU Limited; London; On-site; GBP 125,000 - 150,000; Full time

Job summary

A leading AI consultancy in London is seeking an experienced AI Assurance Specialist to ensure safe and responsible AI deployment in mission-critical contexts. The ideal candidate will bring expertise in mission systems and edge deployments alongside experience in AI assurance frameworks. This contract role offers stability and the chance to influence significant projects in the AI space.

Benefits

Participate in high-impact national projects

Influence critical AI safety programs

Stability in long-term engagements

Qualifications

• Strong track record in defence, aerospace, and transport.
• Deep knowledge of risk frameworks like NIST and ISO.
• Hands-on experience in resource-constrained AI environments.
• Experience with AI robustness testing and cyber resilience.
• Knowledge in integrating autonomous systems.

Responsibilities

• Provide technical assurance across mission systems and edge AI.
• Translate operational needs into assurance criteria.
• Support testing and validation methods for edge-based AI.
• Advise on safety, resilience, and human factors in AI.
• Guide assurance for autonomous systems aligned with ethics.
• Define criteria for human-machine interactions.
• Identify risks related to AI adoption.

Skills

Mission-critical operational systems experience

AI assurance frameworks knowledge

Deployment of AI/ML at the edge

Adversarial ML techniques

Integration of autonomous systems

Human factors in autonomy

Stakeholder engagement

Job description

Overview

Reference: 112233

Salary: £600 - £700/day

Job Location: United Kingdom -- England -- Greater London -- London

Job Type: Contract

Posted: 04 September 2025

AI Assurance Specialist - Mission Systems & Edge Deployments

Morela is partnering with one of the UK's fastest-growing AI consultancies to hire an AI Assurance SME with deep expertise in mission systems, edge deployments, and operational AI environments. This is a unique opportunity to influence how AI is deployed safely and responsibly in high-stakes, mission-critical contexts.

Contract: Long-term (3+ years)

IR35: Inside IR35

Clearance: Active SC or DV clearance required

About the Role

You'll act as a trusted subject matter expert on the assurance of AI used in complex operational systems. From autonomous platforms to edge-deployed AI, you'll shape assurance criteria, manage risks, and ensure solutions are robust, ethical, and aligned with defence and government standards.

Key Responsibilities

• Provide technical assurance across mission systems, edge AI deployments, and operational rollouts.
• Translate operational needs into practical assurance criteria based on leading frameworks and regulations.
• Support test, evaluation, verification, and validation (TEV&V) methods for edge-based AI.
• Advise projects on safety, resilience, and human factors in AI adoption.
• Guide assurance of autonomous/semi-autonomous platforms, aligned with MOD Ethical Principles for AI.
• Define criteria for human-machine teaming, ensuring trust, transparency, and operator control.
• Identify and mitigate risks and dependencies around AI adoption at the edge.

Essential Experience

• Strong track record in mission-critical operational systems (defence, aerospace, transport, etc.).
• Deep knowledge of AI assurance and risk frameworks (NIST AI RMF, ISO/IEC 42001, EU AI Act).
• Hands-on experience deploying AI/ML at the edge, including resource-constrained environments.
• Experience with adversarial ML techniques (robustness testing, red-teaming) and cyber resilience.
• Experience integrating or assuring autonomous/semi-autonomous systems (UAVs, UGVs, maritime, aerospace).
• Applied expertise in human factors for autonomy (trust, usability, operator oversight).
• Ability to engage confidently with technical, operational, and regulatory stakeholders.

Why Join?

• Be part of a rapidly growing AI consultancy delivering high-impact national projects.
• Influence critical programmes where AI safety, resilience, and ethics are paramount.
• Long-term 3+ year engagement, offering stability on cutting-edge projects.