ML Engineer II — Behavioral Security & Fraud Detection

Abnormal AI

United Kingdom

On-site

GBP 70,000 - 110,000

Full time

10 days ago
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Job summary

Abnormal AI is seeking a Machine Learning Engineer to join the Account Takeover Detection team. You will help build robust ML models to detect fraudulent activity and protect customers, working with data scientists and engineers to productionize solutions.

The role focuses on algorithm development, feature engineering, model evaluation, and staying current with ML research, with opportunities to contribute to roadmap and best practices within a security-focused startup.

Qualifications

  • Proven experience as a Machine Learning Engineer or similar role in a commercial environment (3+ years).
  • Knowledge of machine learning algorithms, statistics, and predictive modeling.
  • Proficiency with Python and machine learning toolkits like pandas, scikit-learn, and optionally PyTorch/TensorFlow.
  • Awareness of machine learning operations (MLOps) and productionization of ML models best practice.
  • Familiarity with building data and metric generation pipelines, using tools like SQL or Spark, to answer business questions and assess system efficacy.
  • Ability to communicate technical ideas in a clear, non-technical manner.

Responsibilities

  • Contribute to the development of machine learning algorithms and models for behavioral modeling and cybersecurity attack detection.
  • Work with cross‑functional teams to understand requirements and translate them into effective machine learning solutions.
  • Conduct exploratory data analysis, feature engineering, model development and evaluation.
  • Work with infrastructure & product engineers to productionize models and new ML-based features.
  • Monitor and improve production models through feature engineering, rules, and ML modeling as part of a team effort.
  • Participate in code reviews to ensure the quality and maintainability of ML systems.
  • Stay updated on the latest research in the field of machine learning, data science, and AI.
  • Adopt and contribute to the development of machine learning best practices within the organization.

Skills

Machine Learning
Python
Data analysis
Model evaluation

Tools

pandas
scikit-learn
PyTorch
TensorFlow

Job description

Abnormal AI is seeking a Machine Learning Engineer to join the Account Takeover Detection team. You will help build robust ML models to detect fraudulent activity and protect customers, working with data scientists and engineers to productionize solutions.

The role focuses on algorithm development, feature engineering, model evaluation, and staying current with ML research, with opportunities to contribute to roadmap and best practices within a security-focused startup.

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