MLOps Engineer | Python | Airflow | AWS | MLFlow | Docker | Kubernetes | London, Hybrid
- Hiring Organisation
- Enigma
- Location
- City of London, London, United Kingdom
Orchestration & Automation Own and extend ML pipeline orchestration workflows using Apache Airflow, including training, evaluation, and deployment workflows. Build and maintain automated pipelines for model retraining, validation, and promotion across development, staging, and production environments. Implement pipeline monitoring, alerting, and failure recovery mechanisms to ensure operational reliability. Design … pipeline architectures that support rapid experimentation while maintaining reproducibility. Model Deployment & Serving Deploy and manage ML models on AWS infrastructure for batch and production inference workloads. Support deployment of models to edge devices in collaboration with firmware and embedded engineering teams. Manage model versioning, promotion, and rollback workflows ...