Machine Learning Engineer II - Behavioral Security Products

Abnormal AI
United Kingdom
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsSkills: ["Communication","Code review","Collaboration","Problem-solving"]

Build and productionize machine learning models for account takeover detection, partnering with cross-functional teams to translate requirements into effective ML solutions. Own the full lifecycle—from exploratory data analysis and feature engineering to model evaluation—while working with infrastructure and product engineers to deploy new ML-based features. Continuously monitor and improve production models using data, rules, and ML, and contribute through code reviews and ongoing best practices adoption.

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FursaFursa
Abnormal AI
Abnormal AI
1 day ago

Machine Learning Engineer II - Behavioral Security Products

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Build and productionize machine learning models for account takeover detection, partnering with cross-functional teams to translate requirements into effective ML solutions. Own the full lifecycle—from exploratory data analysis and feature engineering to model evaluation—while working with infrastructure and product engineers to deploy new ML-based features. Continuously monitor and improve production models using data, rules, and ML, and contribute through code reviews and ongoing best practices adoption.
Location: United Kingdom
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop machine learning algorithms and models for behavioral modeling and cybersecurity attack detection.
  • •Collaborate with cross-functional teams to translate requirements into effective ML solutions.
  • •Perform exploratory data analysis, feature engineering, model development, and evaluation.
  • •Work with infrastructure and product engineers to productionize ML models and new ML-based features.
  • •Monitor and improve production models through feature engineering, rules, and ML modeling, and participate in code reviews.

Key Requirements

  • •3+ years of experience as a Machine Learning Engineer (or similar) in a commercial environment.
  • •Knowledge of machine learning algorithms, statistics, and predictive modeling.
  • •Proficiency with Python and ML toolkits such as pandas and scikit-learn (optionally pytorch or tensorflow).
  • •Knowledge of MLOps and productionization of ML models best practices.
  • •Experience building data/metric generation pipelines using tools like SQL or Spark to answer business questions.
Experience:3+ yearsCybersecurityFraud detectionBehavioral modeling
Skills:CommunicationCode reviewCollaborationProblem-solving
Languages:English
Tech Stack:PythonPandasScikit-learnPyTorchTensorFlowSQLSparkMLOpsAirflowAWSAzureLLMs

Company Brief

Abnormal AI
Provides AI-powered email security and human behavior analysis to detect phishing, business email compromise, and account takeover attacks. The platform helps organizations protect employees and communications across cloud email and collaboration tools.
Industry: Cybersecurity
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: San Francisco, United States
Founded: 2018
WebsiteLinkedIn