ML Engineer II — Account Takeover Detection

Menlo Ventures; United Kingdom; On-site; GBP 70,000 - 120,000; Full time

Job summary

Abnormal AI in the United Kingdom is seeking a Machine Learning Engineer for the Account Takeover Detection team. You will design and deploy production ML models to identify and prevent fraudulent account takeovers, collaborating with data scientists and software engineers to build robust, scalable systems.

The role emphasizes staying current with ML research, implementing best practices, and translating complex technical concepts for non-technical stakeholders.

Qualifications

• 3+ years of professional ML engineering experience.
• Strong knowledge of ML algorithms, statistics, and predictive modeling.
• Proficiency with Python and ML toolkits (pandas, scikit-learn).
• Experience with MLOps and productionising ML models.
• Experience building data and metric pipelines using SQL or Spark.
• Ability to communicate technical ideas clearly.

Responsibilities

• Contribute to development of ML algorithms and models for behavioral modeling and cybersecurity attack detection.
• Collaborate with cross-functional teams to translate requirements into ML solutions.
• Perform exploratory data analysis, feature engineering, model development and evaluation.
• Work with engineers to productionize models and new ML-based features.
• Monitor and improve production models through feature engineering and ML modelling.
• Participate in code reviews to ensure quality and maintainability.
• Stay updated on ML/datascience/AI research and best practices.

Skills

Machine Learning

Python

Pandas

Scikit-learn

PyTorch/TensorFlow

MLOps

SQL

Spark

Communication skills

Tools

Airflow

Job description

Abnormal AI in the United Kingdom is seeking a Machine Learning Engineer for the Account Takeover Detection team. You will design and deploy production ML models to identify and prevent fraudulent account takeovers, collaborating with data scientists and software engineers to build robust, scalable systems.

The role emphasizes staying current with ML research, implementing best practices, and translating complex technical concepts for non-technical stakeholders.