Hybrid Senior Security Researcher role in Central London (via recruiter Salt) at a UK cyber security organisation, researching how AI, LLMs, and Agentic AI can improve threat detection. Day to day: research emerging threats and attacker TTPs, build Python prototypes and automation, and work with engineers to turn research into product detection capabilities.
Background in Security Research, Threat Research, Detection Engineering, Threat Hunting, or Security Operations
Strong Python skills and experience building tooling or automation
Understanding of threat detection, attacker TTPs, and modern security operations
Interest in AI, LLMs, Generative AI, or Agentic AI
Strong analytical and research mindset
MSc, PhD, or research-focused academic background is advantageous
Published research, technical blogs, or conference presentations are advantageous
Open-source contributions are advantageous
Experience applying AI to security challenges is advantageous
Responsibilities:
Research emerging threats, attacker techniques, and security trends
Investigate how AI can enhance detection and security outcomes
Develop prototypes, tooling, and automation using Python
Explore Agentic AI workflows and security use cases
Work with engineering teams to translate research into product capabilities
Design, test, and validate new detection approaches
Technologies:
Agentic AI
AI
Python
Security
More:
We are partnering with one of the UKs most innovative cyber security organisations as we expand our research capabilities at the intersection of AI, Security Research, and Detection Engineering. In this London-based hybrid role, you will explore how emerging AI technologies can improve threat detection, automate security workflows, and shape the next generation of security products. We offer a salary of £70,000–£90,000, plus bonus and benefits. This is an opportunity to solve challenging technical problems and help shape the future of AI-driven cyber defence. Rates depend on experience and client requirements.