Senior AI/ML Security Engineer

Autonomous systems are becoming increasingly important for Defence, but they don’t always behave as designed in the complex and contested environment of the modern battlefield. The Advanced Dependable Autonomy team is multi-disciplinary team applying experience in AI, Resourcing & Recruitment Process software engineering, cyber security and autonomy who are dedicated to making AI and autonomous systems robust and trustworthy. In this role you will be expected is will keep abreast of latest developments in autonomy vulnerabilities and develop robust solutions towards this goal.

Dstl recognises the importance of diversity and inclusion as people from diverse backgrounds bring fresh ideas. We are committed to building an inclusive working environment in which each employee fulfils their potential and maximises their contribution.

In this role you will:

• Work as part of a team to Deliver project research objectives across all domains (Air,Land, Maritime, Space and Effectors) deploying maths and machine learning skills to support Dstl Programme outcomes.
• Develop approaches to evaluate, demonstrate, and advise on safety and vulnerabilities in AI-driven and autonomous systems, reducing the risk of accidental or deliberate harm to Defence and Security capability and users.
• Understand the behaviours of autonomous and AI systems to maximise their effectiveness considering safety, security and trustworthiness in benign or contested environments.
• Support the ethical considerations of AI and autonomy-enabled systems.
• Work across MOD, Government, and with our partners in Industry, Academia and abroad across a range of technical areas.
• Be aware of the downstream impact of their actions and the actions of their direct reports on those outside of their immediate control.
• Confidently lead technical tasks, with the ability to adapt quickly to changing direction and priorities. Positively, motivating, inspiring, encouraging and influencing others through effective communication and engagement.
• Maintain and manage strong, effective relationships with peers, role modelling Enterprise Leadership to deliver collaboration on delivery outcomes and strategic direction.

Degree or Higher Degree in Engineering, Mathematics, Physics, Computer Science, Robotics or other quantitative field or equivalent experience). With strong skills in one or more of the following areas: Machine Learning, AI, Mathematics, Cyber Security, Software Engineering, Autonomy, Systems Deployment, Modelling and Simulation Development, Robotics.

Open to UK nationals only.

This job is not open to candidates who hold a dual nationality.

This vacancy is using Success Profiles (opens in a new window), and will assess your Behaviours and Experience.

We want you to have your best chance of success in our recruitment process, so If at any stage of the application process you would like help or assistance please contact the Dstl Recruitment Team dstlrecruitment@dstl.gov.uk and we will do all we can to support you.

Sifting will take place week commencing the 23rd November with interviews to be arranged from the 14th December

Your interview will consist of behavioural & technical interview to include a presentation entitled 'Please present work that you have personally led or played a significant role in'

Feedback will only be provided if you attend an interview or assessment.