Security Engineer

• Successful candidates will complete a 12-week structured training programme to develop expertise in threat detection and investigation, working alongside security analysts reviewing real incidents, understanding attacker techniques across hybrid networks, email, and AI usage.
• His includes direct experience with the Darktrace platform and how it detects and responds to threats, exposure to progressively more complex attacks and environments, and concludes with Darktrace security certification.
• Following this training, candidates will join the security engineering team, working directly on Darktrace’s Cyber AI Analyst, automating the security analysis process.
• Candidates will own the end-to-end creation of AI-driven hypotheses that investigate activity across the digital estate, including initial research and development, release to customers, and continuous improvement based on feedback.
• This process will also include extensive collaboration with machine learning, security research, and software engineering teams.

Benefits

• Active social and charity initiatives including our matched charitable giving scheme and employee recognition scheme.
• 23 days paid holiday plus UK bank holidays, increasing to 25 days after two years’ service.
• Additional birthday day off.
• Salary Sacrifice pension scheme with 4% employer contribution and minimum 5% employee contribution.
• Optional BUPA private medical insurance for you and your immediate family.
• Life assurance with a benefit of 4x your annual basic salary.
• Employee Assistance Programme offering both on-line and telephone support and resources to you and your family.
• Cycle to work scheme.

Qualifications

• Experience with AI and machine learning techniques (e.g. statistics, clustering, classification, anomaly detection, embeddings, LLM usage).
• Ideally a PhD in any technical area, or equivalent research background.
• Knowledge of software engineering best practices (e.g. object-oriented code, continuous integration, unit testing).
• Experience with Python, including asynchronous code and structured data analysis pipelines.
• Knowledge or interest in the cyber security landscape, including network and AI threats.

This is a hybrid role, combining skills across security analysis, machine learning research, and software engineering. Since this position includes an initial training component, we do not necessarily expect candidates to have extensive experience in all three, but the role would best fit someone with a strong desire to learn and some combination of the above qualifications.

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