Principal Machine Learning Engineer - ML Platform

Harnham is a scaling AI‑driven technology company building large‑scale, production‑grade ML systems used in real‑time decisioning. They are seeking a Senior Machine Learning Engineer who enjoys shaping platform architecture while being hands‑on, focusing on production ML with an emphasis on distributed compute and reliability.

Responsibilities:

• Designing, training, and deploying high‑scale ML models used in live systems
• Building distributed training pipelines (PyTorch, Ray)
• Owning the ML lifecycle across feature engineering, training, evaluation, inference, monitoring
• Improving ML reliability, observability, and reproducibility
• Working closely with engineering, SRE, and product to shape platform direction
• Contributing to ML architecture standards, CI/CD, and testing frameworks

Requirements:

• Strong experience delivering production ML systems end‑to‑end
• Expertise with Python, PyTorch, distributed compute (Ray, Spark)
• Background in large‑scale data processing and MLOps tooling
• Ability to diagnose production issues and drive architectural improvements
• Experience with event‑driven ML and model deployment frameworks is a plus