Senior Machine Learning Engineer (Mlops / Platform) - Contract
Role details
Job location
Tech stack
Requirements
Senior experience as a Machine Learning Engineer (strong MLOps focus) Solid understanding of ML systems design & lifecycle Comfortable working across data and engineering teams Data science background is a plus GenAI experience nice to have, not essential
Benefits & conditions
product-led tech company , building and scaling a core AI & ML platform used across customer-facing products. Contract Details 12 Months contract Europe (remote-friendly) Rate ~€550 + Start ASAP 2 Stage interview process with slots next week You'll join a small senior team that owns high-impact ML platform initiatives and enables Data Scientists and AI Engineers to take models from development to production at scale. What You'll Do Own the end-to-end ML lifecycle (CI/CD, deployment, monitoring, retraining) Build and scale production ML systems (real-time & batch) Design ML infrastructure on AWS (Python-first) Implement monitoring, drift detection, and model lineage Work closely with Data Scientists & Data Engineers