Senior AI/ML Security Engineer, Autonomous Systems

Dstl; Salisbury; On-site; GBP 45,000 - 75,000; Full time

Job summary

Dstl in the United Kingdom is seeking a capable researcher to join the Advanced Dependable Autonomy team. You will apply maths and machine learning to deliver project research objectives across air, land, maritime, space, and effectors, contributing to robust autonomous systems for defence.

You will evaluate safety and vulnerabilities, understand system behaviors, and support ethical considerations while collaborating with MOD, industry, academia and international partners.

Qualifications

• Experience in AI/ML and evaluating performance metrics.
• Apply mathematical or statistical rigor.
• Excellent written and verbal communication.
• Prepare and deliver technical reports for non-technical audiences.
• Break problems into components and propose holistic solutions.
• Desire to learn about autonomy, AI vulnerabilities and resilience risks.
• Broad interest in AI and ML applications.

Responsibilities

• Deliver project research objectives across domains (Air, Land, Maritime, Space and Effectors) using maths and ML.
• Develop approaches to evaluate safety and vulnerabilities in AI-driven autonomous systems.
• Understand behaviours of autonomous and AI systems to maximise safety, security and trustworthiness.
• Support ethical considerations of AI and autonomy-enabled systems.
• Collaborate with MOD, Government, and partners in Industry, Academia and abroad.
• Lead technical tasks and adapt to changing directions while motivating others.
• Maintain strong relationships and deliver collaboration on delivery outcomes and strategic direction.

Skills

AI & ML experience

Mathematical/statistical rigor

Communication skills

Technical reporting

Critical thinking

Autonomy vulnerabilities interest

Broad ML understanding

Job description

Dstl in the United Kingdom is seeking a capable researcher to join the Advanced Dependable Autonomy team. You will apply maths and machine learning to deliver project research objectives across air, land, maritime, space, and effectors, contributing to robust autonomous systems for defence.

You will evaluate safety and vulnerabilities, understand system behaviors, and support ethical considerations while collaborating with MOD, industry, academia and international partners.