Назад
Company hidden
6 дней назад

Machine Learning Engineer (Cybersecurity)

Формат работы
remote (только United_kingdom)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Machine Learning Engineer (Cybersecurity): Building and optimizing behavioral security models for email protection with an accent on detecting malicious account takeover attempts. Focus on developing production-grade ML algorithms, implementing scalable data pipelines, and maintaining system reliability against evolving threats.

Location: Remote (Must be based in the UK)

Company

hirify.global is a leading cybersecurity startup utilizing behavioral AI to protect Fortune 500 companies from complex email-based threats.

What you will do

  • Contribute to the development of machine learning algorithms for behavioral modeling and cybersecurity attack detection.
  • Collaborate with cross-functional teams to translate security requirements into effective machine learning solutions.
  • Perform exploratory data analysis, feature engineering, and model development.
  • Work with infrastructure and product engineers to productionize models and features.
  • Monitor and improve production models through ongoing feature engineering and iterative testing.
  • Participate in code reviews to maintain high-quality ML systems.

Requirements

  • Location: Must be based in the UK
  • 3+ years of experience as a Machine Learning Engineer or in a similar commercial role.
  • Proficiency with Python and ML toolkits such as pandas and scikit-learn.
  • Knowledge of machine learning algorithms, statistics, and predictive modeling.
  • Experience with MLOps and productionization best practices.
  • Familiarity with building data pipelines using tools like SQL or Spark.
  • Strong communication skills to explain technical concepts to non-technical stakeholders.

Nice to have

  • Familiarity with LLMs and behavioral modeling techniques.
  • Experience with Cybersecurity or large-scale ML data infrastructure.
  • Proficiency with PyTorch, TensorFlow, or Airflow.
  • PhD or equivalent research experience in Machine Learning.

Culture & Benefits

  • Opportunity to join a high-growth, industry-leading cybersecurity startup.
  • Work on high-impact products protecting over 20% of the Fortune 500.
  • Engage in continuous research in AI and cybersecurity fields.
  • Supportive environment emphasizing operational excellence and best-in-class MLOps.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →