Security Engineer
Role details
Job location
Tech stack
Job description
Join our dynamic R&D teams in Cambridge and London, where you'll contribute to the development and enhancement of products driving our company's rapid growth.
Please note this is a hybrid position requiring attendance in the Cambridge office at least 2 days per week.
What will I be doing?
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. This 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.
Requirements
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 following:
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Ideally a PhD in any technical area, or equivalent research background
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Knowledge or interest in the cyber security landscape, including network and AI threats
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Experience with Python, including asynchronous code and structured data analysis pipelines
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Knowledge of software engineering best practices (e.g. object-oriented code, continuous integration, unit testing)
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Experience with AI and machine learning techniques (e.g. statistics, clustering, classification, anomaly detection, embeddings, LLM usage)
Benefits & conditions
- 23 days' holiday + all public holidays, rising to 25 days after 2 years of service,
- Additional day off for your birthday,
- Private medical insurance which covers you, your cohabiting partner and children,
- Life insurance of 4 times your base salary,
- Salary sacrifice pension scheme,
- Enhanced family leave,
- Confidential Employee Assistance Program,
- Cycle to work scheme.