11 of 11 Natural Language Understanding Jobs in London

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 ...

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 ...

offering the chance to shape architecture, build scalable pipelines, and ship features that directly impact users. Responsibilities Develop, integrate, and fine-tune LLMs for natural-language understanding, reasoning, and workflow automation. Build agentic/LLM-driven workflows for multi-step decision making across diverse data sources. Architect … Expertise in building RAG systems , vector databases (e.g., Pinecone, Weaviate), and embedding pipelines. Experience with ML/LLMOps for monitoring, evaluation, and traceability. Solid understanding of distributed systems , microservices, and real-time data processing. Comfortable with containerisation and cloud infrastructure (Docker, AWS, Terraform, etc.). Experience deploying production ...

offering the chance to shape architecture, build scalable pipelines, and ship features that directly impact users. Responsibilities Develop, integrate, and fine-tune LLMs for natural-language understanding, reasoning, and workflow automation. Build agentic/LLM-driven workflows for multi-step decision making across diverse data sources. Architect … Expertise in building RAG systems , vector databases (e.g., Pinecone, Weaviate), and embedding pipelines. Experience with ML/LLMOps for monitoring, evaluation, and traceability. Solid understanding of distributed systems , microservices, and real-time data processing. Comfortable with containerisation and cloud infrastructure (Docker, AWS, Terraform, etc.). Experience deploying production ...

offering the chance to shape architecture, build scalable pipelines, and ship features that directly impact users. Responsibilities Develop, integrate, and fine-tune LLMs for natural-language understanding, reasoning, and workflow automation. Build agentic/LLM-driven workflows for multi-step decision making across diverse data sources. Architect … Expertise in building RAG systems , vector databases (e.g., Pinecone, Weaviate), and embedding pipelines. Experience with ML/LLMOps for monitoring, evaluation, and traceability. Solid understanding of distributed systems , microservices, and real-time data processing. Comfortable with containerisation and cloud infrastructure (Docker, AWS, Terraform, etc.). Experience deploying production ...

Looking For Must-Haves 5–8+ years PM experience in AI, SaaS, or highly technical product environments Hands-on experience with voice, ASR, NLU , or conversational AI Strong cross-functional execution across engineering and GTM teams Exceptional skills in product discovery, customer engagement, and writing clear product specs Nice ...

Looking For Must-Haves 5–8+ years PM experience in AI, SaaS, or highly technical product environments Hands-on experience with voice, ASR, NLU , or conversational AI Strong cross-functional execution across engineering and GTM teams Exceptional skills in product discovery, customer engagement, and writing clear product specs Nice ...

unstructured data to build models that move real business metrics. Lead the design of RAG-style architectures (embeddings, dense search) and advanced NLP/NLU applications. Partner closely with pre-sales and delivery teams to scope opportunities and shape solution architecture. Communicate clearly with both engineers and execs, turning complex … modern ML frameworks, with deep experience across core ML (regression, classification, clustering, recommendation, feature engineering). Proven experience with NLP/NLU and practical use of Generative AI tools (e.g. ChatGPT) and prompt engineering. Ability to read research papers, implement algorithms and turn ideas into working PoCs and scalable systems. ...

unstructured data to build models that move real business metrics. Lead the design of RAG-style architectures (embeddings, dense search) and advanced NLP/NLU applications. Partner closely with pre-sales and delivery teams to scope opportunities and shape solution architecture. Communicate clearly with both engineers and execs, turning complex … modern ML frameworks, with deep experience across core ML (regression, classification, clustering, recommendation, feature engineering). Proven experience with NLP/NLU and practical use of Generative AI tools (e.g. ChatGPT) and prompt engineering. Ability to read research papers, implement algorithms and turn ideas into working PoCs and scalable systems. ...