1 of 1 MLflow Jobs in Essex

model risk reviews, security assessments, and secure deployment practices across client environmentsStand up MLOps practices – experiment tracking, model versioning, evaluation, and monitoring (e.g. MLflow, Weights & Biases) Monitor deployed models and pipelines for drift, degradation, data issues, and cost, and iterate to improve them Containerise and deploy workloads with Docker … this role at present Desirable (Nice to Have) Experience with streaming and big‐data tooling – Apache Kafka, Spark, or Flink Experience with MLOps platforms – MLflow, Kubeflow, Vertex AI, SageMaker, or Weights & Biases Experience evaluating and optimising RAG systems at scale (retrieval quality, chunking, re‐ranking) Experience designing multi‐agent systems ...