5 of 5 MLOps Jobs in Reading

generative AI and the modern AI stack, including large language models, prompt engineering, retrieval-augmented generation (RAG), vector databases, evaluation/monitoring and MLOps principles, with the ability to shape investment cases and operating models at scale.Extensive experience providing executive oversight for production AI delivery (you steer architecture and engineering ...

Skills:Professional certifications in AWS, Azure, GCP, or Data Engineering.Experience within aerospace, defence, manufacturing, or highly regulated industries.Knowledge of AI/ML platforms and MLOps practices.Experience with graph databases and knowledge engineering solutions.Experience implementing data mesh or data fabric architectures.Enterprise Architecture experience.Experience leading large-scale data modernisation programmes.Knowledge of defence ...

certifications in AWS, Azure, GCP, or Data Engineering. Experience within aerospace, defence, manufacturing, or highly regulated industries. Knowledge of AI/ML platforms and MLOps practices. Experience with graph databases and knowledge engineering solutions. Experience implementing data mesh or data fabric architectures. Enterprise Architecture experience. Experience leading large-scale data ...

cost management Model serving and inference at production scale (eg KServe, RayServe, Triton, vLLM, or similar) with real latency and cost constraints(preferred RayServe) MLOps pipeline tooling - training pipelines, model registries, feature stores, and lineage (Kubeflow, MLflow, Feast, Weights & Biases, or equivalents) LLMOps in production - inference serving, prompt/version ...

Earth‐system or environmental services, Copernicus, Destination Earth or machine‐learning‐enabled forecasting workflows, including relevant approaches to reproducibility, model versioning, workflow orchestration or MLOps Languages Candidates must be able to work effectively in English. A good knowledge of one of the Centre’s other working languages (French or German ...