2 of 2 Natural Language Understanding Jobs in London

advanced business intelligence, one-click deployment and roll-back, sophisticated monitoring, self-healing operation and powerful feature rich UIs. You will also integrate sophisticated omni-channel AI components for natural language understanding and processing, including; large language models, generative models/prompt engineering Role Description Our client has focused on an AI-powered platform. They are … test suites Contribute to performance and failure testing Drive and participate in the team's agile practices Take part in continuous improvement of the development process Essential Technical Skills Language - JavaScript, NodeJS, Typescript Framework - NestJS/Express/Microservices Testing - Jest/Mocha/Cypress/React testing Library API - OpenAPI/GraphQL/GRPC Messaging - AMQP/RabbitMQ More ❯

in AI/ML frameworks 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 Models including OpenAI GPT … alternatives (Llama, Mistral). Experience 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 modelling. Skilled in building end …/OpenAPI), webhooks, and integrating disparate systems to create seamless automated workflows. Document Processing & OCR - Experience implementing intelligent document processing solutions using OCR technologies (Tesseract, Azure AI Document Intelligence, natural language processing for information extraction, document classification, and building end-to-end pipelines for automated document ingestion, processing, and data extraction with validation rules. Robotic Process Automation (RPA More ❯