51 to 75 of 98 Retrieval-Augmented Generation Jobs in London

architectures Design end-to-end architectures using Azure OpenAI, Azure AI Search, ML, data platforms, compute, networking, and identity Select and define architecture patterns (RAG, agentic workflows, streaming vs batch, hybrid approaches) Define non-functional requirements: security, scalability, performance, cost, availability Ensure alignment with Azure best practices, security standards, compliance ...

success building AI applications in investment banking, asset management, or capital markets domains. Deep expertise in ML, NLP, LLMs, retrieval‐augmented generation (RAG), embeddings, and modern MLOps practices. Strong experience working with both structured financial datasets and unstructured data sources (e.g., filings, call transcripts ...

They’re Looking For Proven experience designing & deploying AI/ML solutions Expert knowledge of LLMs, AI frameworks & agent-based systems Experience in building RAG Systems Cloud expertise across AWS/Azure/GCP Ability to turn complex problems into scalable architectures Passion for AI innovation (this ...

platforms. Your Skills and Experience Hands on experience building and deploying machine learning models end to end. Experience with LLMs, NLP, conversational AI, RAG pipelines and model fine tuning. Understanding of production grade ML workflows and CI CD principles. Experience building chatbots or NLP driven chat engines used in live ...

Experience working with LLM APIs and prompt engineering Great to have Additional exposure to data platforms such as Databricks or ThoughtSpot Understanding of RAG pipelines and vector databases (Hands-on experience across several of the above systemsis beneficial) Commercial & Operational Experience operating in a SaaS environment with a strong understanding ...

consultative mindset, able to set architectural direction and foresee emerging trends. Advanced knowledge of AI and ML technologies, including generative AI, agentic architectures, RAG pipelines, LLM integration, and responsible AI governance. Strong multi-cloud expertise with GCP, AWS, and Azure, including serverless, event-driven architectures, IaC, and container orchestration. Proven ...

catalog, data marketplace, feature store, or developer portals (e.g., Kaggle Datasets, Unity Catalog, Collibra, Alation, Atlan). Understanding of agentic AI patterns — tool-use, RAG, function calling — and how marketplace APIs can be exposed to LLM-based agents. Experience with search relevance & recommendation systems — ranking algorithms, semantic search, personalisation. Hands ...

production systems in a startup or fast-paced environment Familiarity with cloud platforms such as AWS, GCP, or Azure Exposure to AI, LLMs, or RAG is beneficial You’ll join a small, product-focused team with high ownership and the opportunity to influence both engineering direction and product development. ...

fast-moving environment. Skills and experience Strong experience with Python Experience building production systems using LLMs or generative AI Knowledge of prompt engineering, RAG, or agent-based architectures Experience working with APIs, distributed systems, or event-driven architectures Understanding of authentication and security protocols Experience building secure, scalable platforms Knowledge ...

operating as a senior data leader in a commercially driven environment, with a clear track record of delivery. Key requirements include: Experience using Langchain, RAG systems and Vector databases Proven ability to lead analytics and insight functions, with a bias towards hands on delivery rather than large scale people management. ...

unified decisions. Own operability: CI/CD, monitoring/alerting, performance optimisation, safe rollbacks. Build and integrate AI features (LLM/agent workflows, RAG/vector DB integration, eval hooks, cost/safety guardrails). Help evolve our reusable product templates and shared architecture across the portfolio. Essential Requirements ...

work. You use them to build faster and think better, and you're comfortable designing AI-powered applications: agentic workflows, LLM integrations and RAG applications. You learn fast. You can walk into patent law or drug discovery and within days be designing useful things. You communicate clearly. ...

fast-moving environment. Skills and experience Strong experience with Python Experience building production systems using LLMs or generative AI Knowledge of prompt engineering, RAG, or agent-based architectures Experience working with APIs, distributed systems, or event-driven architectures Understanding of authentication and security protocols Experience building secure, scalable platforms Knowledge ...

platform capabilities in a B2B SaaS environment, with a track record of shipping at enterprise scale. Deep understanding of agentic AI patterns, LLM orchestration, RAG, fine-tuning, and evaluation frameworks — and the ability to translate these into compelling, reliable product experiences. Experience managing the full ML lifecycle — development, training, evaluation ...

things Comfortable working in a more entrepreneurial, less structured environment Strong academic background preferred Useful experience may include: FastAPI, React, TypeScript, Streamlit, APIs LLMs, RAG, agentic workflows, automation tools Internal tools, dashboards, workflow systems, CRM-type platforms AI-enabled process improvement or business automation This is a particularly strong opportunity ...

React/TypeScript frontend fundamentals with solid backend experience (language is not a constraint). - Practical, hands-on knowledge of AI application development: LLMs, RAG architectures, AI agents, and evaluation approaches. - Excellent client-facing communication skills — comfortable in a room with VP-level stakeholders, able to translate technical depth into ...

evidence extraction while building a product with immediate clinical and pharmaceutical impact. What you will do Architect production‐grade retrieval‐augmented generation and reasoning systems that handle heterogeneous data types across clinical and mechanistic domains. Design and implement sophisticated knowledge representation systems and ontology ...

systems (SharePoint, Dataverse, SQL, and REST APIs). GenAI Configuration: Implement and fine-tune Generative AI features, including 'boosted conversations' and knowledge-base grounding (RAG). Governance & Security: Ensure all solutions adhere to strict SC-cleared environment protocols, focusing on data residency and responsible AI principles. Stakeholder Collaboration: Work with ...

people actually enjoy being part of. There’s a big push into AI and automation, including: Integrating GenAI into product workflows Exploring LLM and RAG-based features Using AI to improve both user experience and internal processes They’re looking for someone who wants to grow with the business long ...

people actually enjoy being part of. There’s a big push into AI and automation, including: Integrating GenAI into product workflows Exploring LLM and RAG-based features Using AI to improve both user experience and internal processes They’re looking for someone who wants to grow with the business long ...

enterprise environments Hands-on experience building agents or copilots using platforms such as Copilot Studio Experience working with generative AI concepts (e.g. prompt design, RAG, grounding) Good understanding of integration patterns (APIs, REST/JSON, event-driven workflows) Experience with Microsoft ecosystem tools such as Power Platform and Microsoft ...

What we’re building We design and deploy agentic AI systems into real enterprise workflows. Typical work includes: Document intelligence systems (unstructured data → decisions) RAG pipelines and knowledge systems AI-driven operational workflows Systems that take actions , not just generate outputs Everything is built for production, inside real environments, with ...

through cutting edge technology, AI and data driven solutions. This is an exciting opportunity to join a growing team focused on building next generation GenAI applications and scalable full stack solutions, working on complex client engagements and shaping enterprise level AI solutions. The Role As a Senior GenAI … LangChain, LangGraph or CrewAI * Experience working with Large Language Models such as OpenAI, Anthropic, Llama or Mistral * Experience with Retrieval Augmented Generation, AI agents or similar GenAI architectures * Experience working with AWS or Azure in production environments * Docker and containerisation experience, Kubernetes desirable * Experience ...

GenAI Engineer/Software Developer (Python LLM RAG) London 12 month FTC to £180k Are you a Senior Software Engineer with a strong knowledge of the capabilities of GenAI? You could be progressing your career in a hands-on role at a tech driven, global Asset Manager with multiple billions ...

TypeScript Contribute to scalable, distributed systems and cloud architecture (AWS) Work with structured and unstructured data across varied storage solutions Build and integrate RAG pipelines and AI-driven workflows Implement LLM integration patterns and multi-step orchestration Collaborate with cross-functional teams to deliver robust, high-quality systems What They ...