76 to 79 of 79 Retrieval-Augmented Generation Jobs in London

real client data during Assess engagements - the prototype is the discovery tool, built while the value case is made Delivering client POCs and MVPs: RAG pipelines, agent architectures, LLM integrations and protocol-driven tooling (MCP, tool orchestration) Iterating in short loops: demoing every few days, taking feedback, changing course without … production mindset) Hands-on experience with LLMs - this can come from personal projects, not just professional work (API integrations, prompt engineering, agent workflows, RAG systems) Proficiency in 2+ modern programming languages Awareness of evolving AI tooling (MCP, A2A, or similar) Some consultancy or client-facing experience, or a strong interest ...

hands-on with customers, owning projects. Key Skills/Tech Experience Required: GCP Python Vertex AI/Gemini LangChain/LangGraph RAG/Vertex AI RAG Engine Multi-Agent Architectures MCP/A2A Terraform Kubernetes UK based for tax purposes If you're a hands-on AI/Data Engineer ...

AI Data & Semantic Engineer l London | 2 days in London a week | £580-£600 per day | Outside IR35 | 12-month contract We're looking for a hands-on AI Data & Semantic Engineer to help a ...

platforms. Identify opportunities to apply AI across alert triage, threat intelligence, incident investigation, detection engineering and reporting. Evaluate AI approaches, including Generative AI, LLMs, RAG and agentic AI. Conduct technical feasibility assessments and build-versus-buy analysis. Define AI integration patterns, security controls and human-in-the-loop requirements. Assess … architectural recommendations and a phased implementation roadmap. Essential Skills & Experience Strong experience in AI Solutions Architecture and technical design. Knowledge of Generative AI, LLMs, RAG and agentic AI. Understanding of cyber security operations and SOC environments. Experience with SIEM, SOAR, EDR/XDR and security tooling integrations. Knowledge of data ...