AI-Driven Security Engineer — Hybrid Training Path

Darktrace; Cambridge; Hybrid; GBP 40,000 - 65,000; Full time

Benefits offered by this job

Charity matched giving

Holiday entitlement 23–25 days

Birthday day off

Pension with 4% employer

Private medical insurance

Life assurance 4x salary

Employee assistance programme

Cycle to work

Job summary

Darktrace in Cambridge offers a hybrid role that begins with a 12-week structured training programme to build expertise in threat detection and investigation. You will collaborate with security analysts on real incidents, learning attacker techniques across hybrid networks, email, and AI usage.

After training, you will join the security engineering team to automate security analysis on Darktrace’s Cyber AI Analyst, owning end-to-end AI-driven hypotheses from research to customer delivery, with

Qualifications

• Experience with AI/ML techniques and data analysis.
• PhD or equivalent research background preferred.
• Python programming with async code and data pipelines.
• Familiarity with CI/CD and unit testing.

Responsibilities

• Complete a 12-week training in threat detection and investigation.
• Work with security analysts on real incidents.
• Own end-to-end AI-driven hypotheses for digital estate activity.
• Collaborate with ML, security research and software engineering teams.

Skills

AI/ML techniques

Python programming

Asynchronous programming

Data analysis pipelines

LLM usage

Cyber security awareness

Education

PhD in technical field

Equivalent research background

Tools

CI/CD

Unit testing

Job description

Darktrace in Cambridge offers a hybrid role that begins with a 12-week structured training programme to build expertise in threat detection and investigation. You will collaborate with security analysts on real incidents, learning attacker techniques across hybrid networks, email, and AI usage.

After training, you will join the security engineering team to automate security analysis on Darktrace’s Cyber AI Analyst, owning end-to-end AI-driven hypotheses from research to customer delivery, with