4 of 4 Permanent MLflow Jobs in the South West

pipelines. Ability to analyse large datasets and communicate insights effectively. Experience with LLMs, generative AI, and prompt engineering. Knowledge of MLOps tools and frameworks (MLflow, Kubeflow, Airflow). Familiarity with SQL, NoSQL, and distributed data technologies. Experience deploying AI models in production environments. Publications, patents, or open-source contributions ...

APIs, or cloud-native application deployment Experience with infrastructure as code, automated testing, observability, logging, or platform monitoring Awareness of MLOps concepts such as MLflow, model registry, model promotion, model monitoring, and governed deployment pipelines Exposure to machine learning workflows or data science environments, with an interest in developing into ...

metrics. Experience creating, managing, and interrogating graph databases (e.g., Neo4j). Experience with maritime, aerial, or other remote-sensing imagery. Exposure to MLOps tools (MLflow, Weights & Biases, Ray etc.) Experience deploying systems with containerisation, both on premises and in the cloud (e.g. using Docker and AWS ECS/ ...

gateways. Experience with multi-modal models, embeddings or similarity search at scale. Experience with ML experiment tracking and workflow tooling, such as MLflow or Argo Workflows. Experience with SQL databases, including writing and optimising queries against large datasets. Preferably based in London, though Manchester and Bath are also options. AtNetcraftwe ...