IT​/Tech, Cybersecurity, AI Evaluation

Company Description

AI Security Bootcamp focuses on the emerging security challenges created by increasingly powerful AI systems embedded in critical infrastructure. The program addresses novel attack surfaces and failure modes that are not covered by traditional cybersecurity training. Participants follow an intensive curriculum designed to build practical skills for identifying, analyzing, and mitigating AI‑related risks. The bootcamp emphasizes real‑world scenarios on the frontier of AI security and prepares attendees to anticipate how these risks may evolve over time.

It is aimed at individuals who want to work at the intersection of AI, security, and safety in high‑impact environments.

This is a full‑time, on‑site role based in London for a Bootcamp Participant at AI Security Bootcamp. Day‑to‑day activities include attending structured lectures and workshops, completing hands‑on labs and projects focused on AI security, and participating in group exercises that simulate real‑world attack and defense scenarios. The role involves regular reading and analysis of technical materials, engaging in discussions with instructors and peers, and preparing written and oral presentations on security findings and risk assessments.

Participants are expected to collaborate with others, apply learned concepts to case studies, and continuously refine their understanding of AI security best practices throughout the program.

• Candidates should possess foundational technical abilities, such as basic programming skills (e.g., Python), familiarity with computer systems or networking concepts, and comfort working with technical documentation.
• Candidates should possess analytical and problem‑solving skills, including the ability to reason about complex systems, identify potential vulnerabilities, and systematically test hypotheses.
• Candidates should possess strong communication skills, including clear written and verbal communication, the ability to explain technical concepts to different audiences, and effective collaboration in team settings.
• Candidates should possess an interest in AI and security, demonstrated by prior coursework, self‑study, projects, or professional experience related to machine learning, cybersecurity, or risk analysis.
• Candidates should possess a high level of motivation and adaptability, including willingness to learn quickly in an intensive environment, openness to feedback, and the ability to manage time and workload effectively.
• Relevant qualifications such as a degree or ongoing studies in computer science, engineering, mathematics, cybersecurity, or related fields are beneficial but not strictly required; equivalent practical experience is also valued.