Artificial Intelligence Certification Analyst

Select how often (in days) to receive an alert:

Date: 1 Sept 2026

Location: Gatwick, GB

Contract Type: Permanent – Full Time

Security Level: SC

Location: Gatwick – Hybrid – Office attendance for regular team and ad-hoc meetings is required, as well as frequent national and international travel.

Visa Restrictions: This position does not offer visa sponsorship

Closing Date:
Tuesday 15th September 2026

Initial Screening Calls: 16th September – 25th September 2026

Interview Dates: 7th & 8th October 2026 – Aviation House, Gatwick

We are the UK's aviation and aerospace regulator and recognised as a world leader in its field. Our activities are diverse, enabling the aviation industry to meet the highest safety standards, and we pride ourselves on our ability to adapt to the constantly evolving aviation environment.

As part of the CAA's technical safety and security team, you will support Artificial Intelligence certification, assurance and regulatory activities across Airworthiness, RPAS (drones), ATM/ANS and innovation programmes, helping to shape the safe adoption of AI within aviation.

As an AI Certification Analyst, you will provide specialist regulatory analysis and technical expertise on the use of AI and machine learning within safety-critical aerospace systems. Working closely with internal teams, aerospace industry and other regulators, you will help enable innovation while maintaining appropriate aviation safety standards.

You will support the delivery of regulatory activities through research, technical assessment and policy development, contributing to the CAA's evolving approach to AI assurance, certification and governance. You will monitor emerging technologies, prepare evidence-based recommendations and share developments from the UK and international regulatory landscape.

You'll work with government, industry and international regulators to understand emerging technologies, identify regulatory challenges and support the Department for Transport's Future of Flight ambitions through the development of future aviation regulations, standards and guidance.

Embedded within the Aviation Security Cyber Team, you will help develop the CAA's strategy for regulating AI in aviation, supporting the creation of certification and assurance frameworks aligned with international best practice.

• Provide technical expertise supporting AI certification, assurance and oversight activities across aviation programmes.
• Develop guidance, frameworks and internal processes for AI assurance and regulatory compliance.
• Undertake research into AI technologies, methodologies and assurance approaches that are relevant to aviation safety systems.
• Support detailed multi-disciplined analysis of AI enabled systems, applications, and use cases, within a regulatory context.
• Deliver the review of technical documentation, evidence, and other materials relevant to AI certification/assurance activity.
• Prepare and deliver technical summaries, briefing notes, and analytical outputs for internal stakeholder use.
• Conduct horizon scanning activities for developments in AI, machine learning, and related assurance or regulatory topics.
• Manage high levels of stakeholder liaison both within and outside the CAA, incorporating other regulatory bodies and industry groups both nationally and internationally.
• Make effective contributions and provide comprehensive recommendations to national and international aerospace AI policy development.

• Degree (or equivalent experience) in Artificial Intelligence, Machine Learning, Data Science, Computer Science, Software Engineering, or a related discipline.
• Relevant work experience, or evidence of relevant academic, internship, placement, or dissertation.
• Working understanding of AI and machine learning concepts, methods, and lifecycle.
• Demonstratable knowledge of relevant materials such as OECD AI principles, NIST AI RMF, OWASP GenAI, AI Standards Hub.
• Able to travel both nationally and internationally.
• Team worker with flexible and adaptable work ethos, highly analytic and lateral thinker with an eye for detail; methodical with a critical systems approach;…