4 of 4 MLflow Jobs in the East of England

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 ...

Experience with: Databricks Workflows Jobs orchestration Notebooks Repos Cluster management Unity Catalog Preferred Skills Databricks Certified DataEngineer Professional/Databricks Certified Architect. Experience with: MLflow Databricks Machine Learning Feature Store Model deployment MLOps Knowledge of streamingtechnologies: Structured Streaming Kafka Experience with datagovernance, compliance,and enterprise securityframeworks. Key Competencies Strong Databricks ...

training, large-scale data loading or high-performance computing environments. Experience supporting research-to-production ML workflows. Experience with monitoring, observability, model versioning or MLflow-like tooling. A comprehensive benefits package that includesan annual bonus plan,private medical insurance, life insurance, and acontributory pension scheme 25 days annual leave,plus ...

have a good knowledge of modern software engineering best practices, microservices, TDD/DDD, common Design Patterns Experience with Databricks, PostgreSQL, Amazon RedShift or MLflow would be great but not essential What's in it for you: As a Backend Software Engineer/Developer (Machine Learning AWS) you will earn ...