Machine Learning Engineer (Cybersecurity)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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
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.
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