Staines, Middlesex, United Kingdom Hybrid / WFH Options
Industrial and Financial Systems
Weights & Biases. A solid background in software engineering and DevOps practices, MLOps deployment, and infrastructure. A knack for generative AI frameworks and SDKs, like RAG, Langchain/LangGraph, Semantic Kernel, and tools such as MS tooling, Co-Pilot Studio, ML Studio, Prompt flow, Kedro, etc. Proficiency with pipeline orchestration tools More ❯
Staines, Middlesex, United Kingdom Hybrid / WFH Options
Industrial and Financial Systems
Elasticsearch, MongoDB or other hybrid/vector stores for content analysis and indexing, with a focus on creating advanced RAG (RetrievalAugmentedGeneration) applications. Proficiency in building IoT data pipelines, encompassing real-time data ingestion, transformation, security, scalability, and seamless integration with IoT platforms. More ❯
is a plus. Experience with Health data processing - HER, FHIR, Wearable sensor data. Knowledge of transformer models (BERT, GPT, Whisper, T5) for text generation and accessibility tools. … Comprehensive knowledge of Semantic Web technologies (RDF/s, OWL), query languages (SPARQL) and validation/reasoning standards (SHACL, SPIN). Comprehensive knowledge of RAG and GraphRag systems and architecture. Experience building ontologies in the e-commerce and semantic search spaces. Knowledge Graph and RAG -AI Architecture. Desirable: Experience with More ❯
