Machine Learning Engineer

• Core Duties Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering to governance requirements
• Transition validated experiments into production-ready solutions, working closely with other engineers on deployment and monitoring
• Build and optimise ML pipelines using AWS services and experiment tracking tools
• Develop and integrate LLM-powered solutions for tracing, evaluation, and production monitoring
• Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails
• Design feature engineering approaches and contribute to feature store development
• Support production models through monitoring, performance analysis, and continuous improvement Apply responsible AI practices, including model explainability and fairness assessment
• Present experiment findings and production outcomes to stakeholders, articulating operational and strategic value
• Mentor junior colleagues and share learnings across the team