3 of 3 Natural Language Understanding Jobs in the UK

building intelligent conversational agents. In this role, you will be at the forefront of innovation, leveraging technologies such as Vertex AI Agent Builder, large language models (LLMs), retrieval-augmented generation (RAG), LangChain, and LangGraph to develop cutting-edge conversational solutions on the Google Cloud platform. Responsibilities Design, develop … implement intelligent conversational agents using Vertex AI Agent Builder Integrate Google Cloud and third-party LLMs to enhance natural language understanding and response generation Implement RAG techniques to connect conversational agents with external data sources and deliver accurate, contextual responses Use LangChain and LangGraph to build complex ...

including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering, and NLP tasks. Understanding of model evaluation metrics, hyperparameter tuning, feature engineering, and MLOps practices for production deployment. Generative AI & LLM Integration - Proficient in working with Large Language … with prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) architectures, vector databases (Pinecone, ChromaDB, FAISS), embeddings, and building AI-powered automation solutions that leverage natural language understanding. Appian BPA Platform - Strong experience with Appian low-code platform including process modelling, interface design, expression rules, integration objects, and data ...

including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering, and NLP tasks. Understanding of model evaluation metrics, hyperparameter tuning, feature engineering, and MLOps practices for production deployment. Generative AI & LLM Integration - Proficient in working with Large Language … with prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) architectures, vector databases (Pinecone, ChromaDB, FAISS), embeddings, and building AI-powered automation solutions that leverage natural language understanding. Appian BPA Platform - Strong experience with Appian low-code platform including process modelling, interface design, expression rules, integration objects, and data ...