201 to 225 of 501 Retrieval-Augmented Generation Jobs in London

frameworks, risk assessments, policies and controls. Practical understanding of how AI systems are built and secured. Good understanding of LLMs and agentic AI, including RAG, tool use and orchestration. Knowledge of AI security risks including prompt injection, data leakage and excessive agency. Strong understanding of relevant AI regulation and frameworks ...

functionally with the product and engineering teams to influence priorities and shape the product roadmap What we look for: Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPyExpertise in deploying production-grade GenAI applications, including evaluation and optimizations ...

ground truth dataset quality, and guide product development roadmapWhat you'll need to succeedExperience with building Generative AI Solutions (Prompt engineering, designing and building RAG frameworks, validation pipelines, observability and monitoring solutions)Experience in a traditional data science role, preferably in python, working in an agile production orientated environment, handling ...

dataset quality, and guide product development roadmap **What you’ll need to succeed** * Experience with building Generative AI Solutions (Prompt engineering, designing and building RAG frameworks, validation pipelines, observability and monitoring solutions)* Experience in a traditional data science role, preferably in python, working in an agile production orientated environment, handling ...

exactly once. Bonus points Previously founded a company. Startup experience. Design tooling literacy (Figma), or a design background. Experience with LLM‐backed product features: RAG, embeddings, evaluation. Go, or a willingness to learn it. It's what most of our backend is written in. Data or analytics engineering experience (Python ...

especially MS SQL)REST APIs or GraphQLContainers and cloud platforms (e.g., Azure)Experience building modular systems with continuous deliveryExperience building AI-powered features (e.g., RAG systems, LLM integrations)Degree in Computer Science or equivalent experienceEducationBachelor's Degree (Computer Science or engineering preferred) or equivalent work experienceOptimizely is committed ...

know what it means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external ...

know what it means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external ...

know what it means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external ...

know what it means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external ...

know what it means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external ...

know what it means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external ...

know what it means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external ...

know what it means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external ...

know what it means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external ...

know what it means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external ...

wider organisation. About the role: This position serves as a subject matter expert for Machine Learning Engineering, supporting production AI/ML, LLM/RAG, and agentic workflow capabilities for legal content products. In addition to writing code on complex systems, this position provides technical direction on architecture, MLOps, responsible … including model lifecycle management, CI/CD, testing, monitoring, release management, observability, and operational support. Practical experience with LLM-based capabilities, including retrieval-augmented generation, semantic search, embeddings, prompt design, evaluation, guardrails, and observability. Experience with agentic workflows, tool orchestration, and multi-step ...

prototypes, products and production ready solutions·Designing and implementing end to end AI solutions that integrate with enterprise systems·Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning·Developing AI agents and agentic workflows using modern frameworks·Working with vector databases, APIs and modern data platforms·Supporting … creating a collaborative, high performing environmentExperience Required:·Strong Python and SQL experience·Applied AI engineering, ML engineering or software engineering background·Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning·Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks·Experience with vector databases such as Pinecone, Chroma ...

research and make investment decisions. Working closely with Portfolio Managers, Research Analysts, Sustainability teams, Architects and Engineers, you will define and deliver next-generation capabilities leveraging Generative AI, agentic workflows and advanced analytics to create measurable business value across global investment teams. Key Responsibilities Own the vision, roadmap … investment data, holdings, benchmarks and fund look-through capabilities. Experience delivering AI-powered solutions, including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), AI assistants, agentic workflows and knowledge discovery platforms. Demonstrated product management experience, including product strategy, roadmap development, prioritisation, backlog management ...

subject-matter experts and hold evidence-based recommendations in front of senior leaders. Familiarity with advanced AI concepts (Desirable): Experience with RAG (Retrieval-Augmented Generation) systems, golden datasets, scoring, regression testing, or A/B experiment design. Domain Exposure (Desirable): Prior experience ...

seeking a Data Scientist in London to lead GenAI initiatives, building LLM-based applications, prompts, fine-tuning and retrieval augmented generation for enterprise use cases. You will collaborate with data engineers and MLOps, deploy AI workflows via APIs or web apps, and stay ...

responsibly across an organisation.Data, AI & Intelligent Systems Expertise:Strong understanding of modern AI capabilities, including Generative AI, Agentic AI, Retrieval Augmented Generation (RAG), intelligent assistants and AI-enabled automation, and enterprise AI ecosystems such as OpenAI, Google, Anthropic and Microsoft.Experience shaping enterprise AI architectures ...

mapping tools. Familiarity with Microsoft 365 cloud ecosystem, Azure integrations, document management systems and virtual data rooms. Exposure to generative AI integration, prompt engineering, RAG architecture and LLM orchestration frameworks. Understanding of security architecture principles and legal‐sector information governance. Legal & Commercial Skills Proven experience in a law firm, ALSP ...

following: AI agent systems, orchestration, tool use, evaluation, or grounding Knowledge graphs or graph data modeling Search, retrieval, ranking, RAG, or semantic search systems Strong backend engineering experience, including API design, service boundaries, data modeling, and integrations across complex systems. Experience with Kubernetes, GitOps such as ArgoCD, infrastructure ...

manage business spending more seamlessly and effectively. Задачи: Design, build, and operate core GenAI platform components, including an LLM routing gateway, vector search and RAG infrastructure, tool registry and MCP gateway, AI observability and evaluation tooling, and infrastructure for long-running agentic workflows; Own production-quality delivery of platform features ...