9 часов назад
AI Security & Vulnerability Automation Lead (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Security & Vulnerability Automation Lead (AI): Owning vulnerability-management activities and developing AI-enabled automation for vulnerability enrichment, prioritisation, remediation guidance, reporting and workflow orchestration with an accent on LLM security, data integration and operational risk reduction. Focus on designing secure AI controls, assessing emerging threats such as prompt injection and excessive agency, and transitioning proofs of concept into reliable enterprise services.
Location: Hybrid in Newbury, London, Stoke, Glasgow or Manchester, United Kingdom; office attendance is expected 2–3 days per week and at least 8 days per month.
Company
Three is building and operating a UK-wide telecommunications network and digital infrastructure, using technologies including cloud, AI and big data.
What you will do
- Own selected vulnerability-management activities, including vulnerability analysis, triage, risk-based prioritisation, reporting, exception reviews and remediation campaigns.
- Design and deliver automation for repetitive and data-intensive vulnerability-management processes.
- Develop AI-enabled capabilities for vulnerability enrichment, classification, prioritisation, remediation guidance, reporting and workflow orchestration.
- Integrate vulnerability-management platforms with asset, configuration, threat-intelligence, ticketing and business-context data sources.
- Develop proofs of concept and transition successful solutions into secure, reliable and supportable services with engineering, architecture and operations teams.
- Advise on AI and LLM risks, support threat modelling and security assessments, and establish controls for human oversight, testing, privacy, access control, auditability and secure data handling.
Requirements
- Degree-level knowledge in computer science, software engineering, artificial intelligence, cybersecurity or a related discipline, or equivalent professional experience.
- Strong knowledge of AI and machine-learning technologies, including LLMs, prompt engineering, retrieval-augmented generation, model evaluation and AI agents.
- Practical software-development or automation experience with programming or scripting languages, APIs, structured data, source control, testing and modern development practices.
- Knowledge of the full vulnerability-management lifecycle and cybersecurity principles, including emerging AI threats such as prompt injection, sensitive-information disclosure, model abuse and supply-chain risk.
- Understanding of enterprise applications, operating systems, cloud services, networks and infrastructure.
- Strong analytical, communication and stakeholder-management skills, with the ability to translate technical risks into recommendations and delivery priorities.
Culture & Benefits
- Hybrid working with flexibility to coordinate office expectations with the line manager and team.
- Basic salary plus bonus and benefits.
- Up to 28 days of annual leave plus bank holidays and paid time for charity work.
- Benefits including discounts, vouchers, a pension plan, learning tools and parental leave policies.
- Employment is subject to criminal (DBS) and financial background checks due to Financial Conduct Authority regulation.
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