1 of 1 Remote MLflow Jobs in the City of London

feeds, trade lifecycle, and financial data models. Expertise with modern data technologies (ClickHouse, PostgreSQL, Kafka, or equivalents.). Experience implementing ML Ops frameworks (e.g. MLflow, Kubeflow, Prefect, or SageMaker) Deep understanding of ETL/ELT pipelines, streaming architectures, and data lifecycle management. Experience working in Kubernetes and cloud-native environments ...