AUTONOMOUS SYSTEMS ASSURANCE CONSULTANT

Electus Recruitment; Bristol; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A consultancy firm in the defence sector is seeking a Senior Autonomous Systems Assurance Consultant to lead assurance tasks for AI and autonomous technologies. The role requires a proven track record in autonomous systems, strong stakeholder engagement skills, and experience in safety case production. This position offers a competitive salary, annual bonus, and flexible hybrid working options, along with extensive training and career development opportunities.

Benefits

Competitive salary and annual bonus

25 days holiday with buy/sell options

Flexible hybrid working

Pension and life insurance

Qualifications

• Proven track record in autonomous systems assurance with experience producing safety cases.
• Working knowledge of AMLAS and understanding of AI regulations.
• Strong communication skills and ability to engage stakeholders.

Responsibilities

• Lead safety assurance tasks for autonomy and AI systems in defence sectors.
• Conduct system safety analysis including hazard identification.
• Mentor junior consultants and manage bid proposals.

Skills

Track record in autonomous systems assurance

Stakeholder engagement skills

Knowledge of AMLAS and AI regulations

Education

Professional qualification or institution membership

Tools

Safety case production using GSN

Job description

Location: Any UK office location with flexible hybrid working
Sector: Defence and Critical National Infrastructure
Type: Permanent

Our client is an employee‑owned consultancy delivering high‑integrity safety, environmental and engineering solutions across defence and critical national infrastructure. The digital safety team is growing and they are seeking a Senior Autonomous Systems Assurance Consultant to lead the assurance of next‑generation autonomous and AI enabled technologies.

About the role

This role offers the chance to work at the forefront of autonomy, shaping how emerging systems are certified, assured and deployed safely across complex domains.

Key responsibilities

• Lead delivery of autonomy and AI safety assurance tasks across defence and CNI programmes
• Apply AMLAS and other AI assurance guidance to operational systems
• Conduct system safety analysis including hazard identification, FHA and STPA
• Assess risks linked to ML behaviours, sensor fusion and automated decision making
• Produce structured safety cases using GSN
• Support capability development and shape future autonomy service
• Mentor consultants working in autonomy and digital safety
• Act as Bid Manager or technical contributor in proposal work
• Build and maintain strong client relationships
• Oversee project delivery with responsibility for quality, timescales and budget
• Provide technical review and approval of deliverables
• Support project risk management
• Travel to client or contractor sites as required (UK and occasional overseas)

About you

• Proven track record in autonomous or uncrewed systems assurance
• Experience producing safety cases and using GSN
• Working knowledge of AMLAS, autonomy standards and emerging AI regulation
• Background in defence or critical national infrastructure
• Experience across air land maritime or nuclear is beneficial
• Strong stakeholder engagement skills
• Able to obtain UK security clearance
• Professional qualification or institution membership (or working towards)

Experience presenting technical papers or supporting business development is desirable but not essential. Training will be provided.

What our client offers

• Competitive salary and annual bonus
• Employee Ownership model
• 25 days holiday plus bank holidays with buy or sell options
• Flexible hybrid working
• Professional institution membership paid
• Extensive training and career development
• Company pension, life insurance and optional private medical cover
• Bike to Work scheme and referral reward
• Supportive and collaborative team culture

If you are ready to help shape the future of autonomous systems assurance, our client would be pleased to hear from you.