9 of 9 Retrieval-Augmented Generation Jobs in West London

field. Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection). Strong Python skills with a grounding in software engineering best practices ...

Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt … engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning ...

Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 - Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 - AI Specialised Customer Service Chatbot Project Combine prompt … engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 - Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 - Machine Learning Project Put your machine learning ...

Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt … engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning ...

Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt … engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning ...

infrastructure development practices. Advanced LLM Orchestration : Experience designing LLM applications beyond basic APIs, including retrieval-augmented generation (RAG) pipelines, orchestration logic, and tool/agent workflows. API Integration : Strong awareness of REST APIs and webhooks to effectively connect AI agents with backend systems … Development Kit (ADK), LangChain, or similar multi-agent orchestration frameworks. Practical familiarity with vector databases, hybrid search techniques, and advanced chunking strategies for optimizing RAG systems. Knowledge of or previous experience within the travel sector or fast-paced B2C e-commerce environments. Familiarity with version control tools (Git) and working ...

MLflow, Weights & Biases or Data Version Control Experience designing, testing and evaluating machine learning experiments Knowledge of Generative AI, LLMs, prompt engineering and RAG architectures Experience with LLMOps tools such as LangChain, LangSmith or LangGraph Strong understanding of model monitoring, validation and governance Excellent communication and stakeholder management skills Ability ...

booking and customer-service platforms * Automate customer enquiries, lead qualification, booking support and follow-up communications * Build solutions using OpenAI APIs, large language models, RAG, embeddings, vector search and tool calling * Implement permissions, monitoring, escalation processes and data-privacy controls * Integrate third-party systems using APIs, webhooks and data pipelines … WordPress websites, including custom themes, plugins and API integrations * Experience integrating booking engines, ecommerce platforms and payment systems * Practical experience with OpenAI APIs, LLMs, RAG and agentic workflows * Experience integrating CRM platforms, WhatsApp Business, webhooks and third-party APIs * Strong SQL, data-integration and dashboard-development skills * Knowledge of technical ...

booking and customer-service platforms * Automate customer enquiries, lead qualification, booking support and follow-up communications * Build solutions using OpenAI APIs, large language models, RAG, embeddings, vector search and tool calling * Implement permissions, monitoring, escalation processes and data-privacy controls * Integrate third-party systems using APIs, webhooks and data pipelines … WordPress websites, including custom themes, plugins and API integrations * Experience integrating booking engines, ecommerce platforms and payment systems * Practical experience with OpenAI APIs, LLMs, RAG and agentic workflows * Experience integrating CRM platforms, WhatsApp Business, webhooks and third-party APIs * Strong SQL, data-integration and dashboard-development skills * Knowledge of technical ...