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Cybersecurity
Fraud Detection ML Engineer
Builds real-time machine learning systems that catch fraud the moment it happens
£60k–£120k AI-driven
What it involves
Designs and maintains ML models that analyse transactions, account behaviour and network patterns in real time to flag fraudulent activity with minimal false positives.
Skills & knowledge needed
Anomaly detectionReal-time MLFeature engineeringPythonStreaming data (Kafka)
Why it's emerging now
Online fraud losses run to billions annually — ML is the only way to detect novel patterns at transaction speed.
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