Machine Learning Engineer II - Behavioral Security Products
Abnormal Security9 hours ago
Remote, United KingdomMid Level
Responsibilities
- Develop machine learning algorithms and models for behavioral modeling and cybersecurity attack detection.
- Collaborate with cross-functional, infrastructure, and product engineering teams to translate requirements into ML solutions and productionize models and ML-based features.
- Conduct exploratory data analysis, feature engineering, model development, and evaluation.
- Monitor and improve production models through feature engineering, rules, and ML modeling.
- Participate in code reviews and contribute to machine learning best practices and operational excellence.
- Stay current with research in machine learning, data science, and AI.
Requirements
- At least 3 years of experience as a Machine Learning Engineer or in a similar commercial role.
- Knowledge of machine learning algorithms, statistics, and predictive modeling.
- Proficiency with Python and machine learning toolkits such as pandas and scikit-learn; PyTorch or TensorFlow is optional.
- Awareness of MLOps and best practices for productionizing machine learning models.
- Familiarity with building data and metric generation pipelines using SQL or Spark.
- Ability to communicate technical concepts clearly to non-technical audiences.
- Preferred qualifications include LLM familiarity, cybersecurity experience, Airflow or similar ML pipeline orchestration experience, large-scale ML systems and data infrastructure experience, behavioral modeling experience, a PhD or equivalent proven ML research experience, and familiarity with AWS or Azure.
Categories
About Abnormal Security
Abnormal Security builds an AI-based cloud email and SaaS security platform for enterprises, preventing phishing, business email compromise, and account takeover. Its products integrate natively with Microsoft 365, Google Workspace, and other business apps, delivered as a subscription service. Founded in 2018 and headquartered in Las Vegas, Nevada, the privately held company focuses on securing large organizations’ email and connected applications.