Senior Machine Learning Engineer

Are you ready to transform customer experience and lead the charge in fraud detection? As a Senior Machine Learning Engineer, you’ll play a pivotal role in shaping the future of our AI/ML capabilities. Collaborating with teams across Fraud, Technology, Product, Sales, and Finance, you'll design, train, and deploy ad...

Design & Innovate: Create and refine machine learning algorithms that enhance customer experience (CX) and fight fraud, pushing the boundaries of what’s possible.

Optimise Performance: Experiment with new techniques, architectures, and feature selection to ensure top-tier model performance.

A strong background in probability, statistics, and algorithms and how to apply these to Fraud Detection and Prevention. 
Expertise in machine learning frameworks (e.g., Keras, PyTorch).
Experience in deploying machine learning models on cloud platforms such as AWS, GCP, or Azure.
Knowledge of scalable machine learning systems and real-time model deployment.
Familiarity with data structures, data modeling, and software architecture.
Experience with fraud detection techniques, including anomaly detection and graph-based analytics.
A solid understanding of MLOps and CI/CD pipelines for ML models.