Назад
21 час назад

Data Scientist - Gen AI (Cybersecurity)

Формат работы
remote (только United_kingdom)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
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TL;DR

Data Scientist - Gen AI (Cybersecurity): Building and architecting next-generation AI systems powered by LLMs and deep learning to stop cyber threats with an accent on large-scale model training and deployment. Focus on driving research strategy, implementing cutting-edge ML solutions, and mentoring teams to deliver production-grade AI at massive scale.

Location: Must be based in the United Kingdom

Company

A global leader in cybersecurity protecting organizations through an advanced AI-native platform that processes trillions of events daily.

What you will do

  • Lead and architect research strategies for applying AI to cybersecurity challenges.
  • Drive innovation in reasoning, summarization, and interactivity using GenAI.
  • Make strategic decisions regarding model architectures, training, and deployment.
  • Build production-ready AI systems capable of operating at massive scale.
  • Mentor and guide scientists while fostering a culture of engineering excellence.
  • Represent technical excellence through publications and industry thought leadership.

Requirements

  • Must be based in the United Kingdom
  • Advanced degree (PhD or Masters) in Computer Science, Data Science, or related field.
  • 5+ years of applied machine learning or research experience with production-grade models.
  • Deep expertise in LLM and deep learning training and deployment at scale.
  • Expert-level understanding of GPU technologies and optimization techniques.
  • Strong technical leadership experience and ability to influence senior stakeholders.

Nice to have

  • Strong research portfolio with publications in leading AI journals and conferences.
  • Experience with cybersecurity applications of machine learning.
  • Track record of successful research-to-production implementations at scale.
  • History of contributions to open-source ML projects.

Culture & Benefits

  • Market-leading compensation and equity awards.
  • Comprehensive physical and mental wellness programs.
  • Competitive vacation and holiday policies.
  • Paid parental and adoption leaves.
  • Professional development opportunities for all employees.
  • Vibrant office culture with world-class amenities.

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