276 to 300 of 842 Retrieval-Augmented Generation Jobs in the UK

Python and experience with AI/ML libraries. Familiarity with cloud infrastructure (AWS preferred) for deploying AI systems. Understanding of RAG (Retrieval-Augmented Generation), vector databases, and memory systems. Experience with RPA or automation tooling is desirable. Knowledge of responsible AI principles ...

Mosaic AI to build enterprise AI solutions. Experience developing cloud‐native applications, APIs and integrating enterprise systems. Knowledge of Retrieval‐Augmented Generation (RAG), vector search, memory management and AI reasoning techniques. Experience with Microsoft Copilot Studio, Power Platform and Power Automate to deliver intelligent ...

teams to translate analytical requirements into efficient, production‐grade data solutions. AI‐Ready Infrastructure Design and maintain pipelines supporting Retrieval‐Augmented Generation (RAG) and Context EngineTM workflows. Build high-performance APIs and caching strategies enabling low‐latency data access for AI agents and orchestration ...

technical audiences. Experience gathering and synthesizing requirements across multiple stakeholder groups and influencing product or platform roadmaps. Familiarity with LLM ecosystems (e.g., prompting, RAG, agents, MCP, fine‐tuning, evaluation) and major AI platforms/APIs. Experience in financial services, asset management, or portfolio analytics is a strong plus. Good ...

preferred), Docker/Kubernetes, CI/CD, and monitoring Strong debugging, collaboration, and continuous-learning mindset Nice to Have: Experience with vector databases and RAG (e.g., OpenSearch, ElasticSearch) Ready to build what's next? Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. ...

Snowflake, Databricks, BigQuery or equivalent. Strong understanding of Python and SQL environments. Experience delivering Machine Learning models into production. Knowledge of Generative AI, LLMs, RAG and emerging AI technologies. Understanding of MLOps, model deployment, monitoring and lifecycle management. Experience with modern BI and analytics platforms such as Power BI, Tableau ...

audiences. Strong stakeholder management and presentation skills. Technical Skills Python, SQL, and modern data science toolsets. Machine Learning and Predictive Analytics. Generative AI, LLMs, RAG, and Agentic AI frameworks. Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Databricks, or equivalent cloud platforms. Data visualisation and storytelling tools such as Power ...

technical teams or workstreams. Strong foundations in machine learning and statistics, with demonstrable production experience. Practical experience with LLMs and generative AI — prompting, RAG, fine‐tuning, and evaluation. Exposure to AI agents and orchestration frameworks, and an appetite to deepen it. Proficiency in Python and the modern data/ ...

cutting-edge capabilities. Core Responsibilities: Internal AI tooling: Design and maintain the core AI orchestration layers, centralized API gateways, and reusable frameworks (e.g., advanced RAG architectures, agentic frameworks) for company-wide consumption. Product AI Integration: Collaborate directly with core engineering teams to embed production-ready generative AI and machine learning ...

influencing and communicating with stakeholders across technical and non-technical teamsIdeally, exposure to cloud infrastructure, NLP or large language models (such as fine-tuning, RAG or agents), graph technologies, or experience in the transport sector or with geographic information systems (GIS)More information: Enjoy fantastic perks like private healthcare & dental ...

communicating with stakeholders across technical and non-technical teams Ideally, exposure to cloud infrastructure, NLP or large language models (such as fine-tuning, RAG or agents), graph technologies, or experience in the transport sector or with geographic information systems (GIS) More information: Enjoy fantastic perks like private healthcare & dental insurance ...

production LLM workflows, including prompt/skill design, evaluation, cost control, provider routing, agentic/human‐in‐the‐loop orchestration, embeddings, vector search and RAG Implementation of foundational ML algorithms, classic NLP techniques and LLMs Strong SQL for analytical and production use, ideally PostgreSQL, including complex joins, CTEs and aggregation ...

judgement around data access, PII handling, RBAC, and the security implications of letting AI systems act autonomously. Preferred experience Familiarity with agentic patterns (MCP, RAG, evaluation frameworks) and the maturity to know when a simpler approach beats a more sophisticated one. Experience in a scale-up, SaaS, or other fast ...

test-driven development, CI/CD workflows, and continuous integration tools (Jenkins, GitLab) Experience integrating AI technologies such as Skills, Agents, MCP Servers, or RAG pipelines Understanding of authentication and authorization approaches including OpenID and SAML Experience deploying cloud-native services on AWS with containerized infrastructure and Kubernetes Experience with ...

using frameworks such as LangGraph and related orchestration tools. Apply modern techniques in:NLPGenerative AIEmbeddings and semantic representationsRetrieval-augmented generation (RAG)AI reasoning and workflow orchestration Evaluate emerging AI models, tools, and frameworks and contribute recommendations for experimentation and adoption. Contribute to prompt engineering, grounding strategies … context management, and hallucination mitigation efforts. Support integration of scientific metadata, ontologies, and knowledge assets into AI-powered workflows. Search, Retrieval & RAG Systems Design, develop, and optimize search and retrieval pipelines , including lexical, vector, and hybrid retrieval approaches. Contribute to the development and enhancement ...

prompt engineering combined with traditional software/automation engineering. Hands-on expertise utilizing GitHub Copilot, Microsoft Copilot, and Claude Code for code generation, review, and refactoring. Deep proficiency in PowerShell scripting, enterprise automation, and system administration. Strong database background, specifically with SQL Server. Programming proficiency in at least … with Azure AI, OpenAI APIs, or Anthropic APIs. Solid understanding of CI/CD, DevOps, and enterprise automation platforms. Familiarity with RAG (Retrieval-Augmented Generation) architectures, vector databases, and knowledge systems. Previous experience deploying AI solutions within large-scale or regulated enterprise environments. ...

systems Driving adoption of Agentic AI across multiple engineering teams Defining reusable engineering standards, architectures and implementation patterns Designing and evolving production RAG and retrieval architectures Establishing effective LangGraph/LangChain patterns for agentic applications Improving AI evaluation, testing, observability and production monitoring Developing guardrails, controls and approaches … Python and strong software engineering fundamentals Production Machine Learning/AI engineering AWS Agentic AI and LLM-based applications Retrieval Augmented Generation (RAG) LangChain and/or LangGraph Vector databases and retrieval MLOps and production deployment AI evaluation, testing and observability ...

data, platform, or AI/ML products Preferred: Familiarity with adjacent technologies such as vector databases, semantic search, large language model and retrieval-augmented generation architectures, data catalogs, and lineage tools Deep expertise in artificial intelligence, with a track record of implementing advanced … foundational data infrastructure that unifies and contextualizes information across the organization, powering analytics, search, and next-generation GenAI and retrieval-augmented generation applications. By joining our team, you will be part of exciting work which strives to leverage data, technology ...

Company Description At IFS, we're building the next generation of AI-native enterprise software, transforming how some of the world's largest organisations manage assets, operations and critical services. This is an opportunity to work at the forefront of modern AI engineering, building intelligent products that combine … orchestration capabilities. Experience evaluating AI solutions for quality, reliability, latency, cost and security. Understanding of prompt engineering, context engineering, Retrieval‐Augmented Generation (RAG), tool calling and modern AI application architectures. Experience applying AI‐assisted engineering practices throughout the software development lifecycle, including specification, implementation ...

scientific/clinical domain. Nice to Have (Desirable Requirements) ML - Experience of classical ML and NLP methods Software craft – testing, observability, documentation, code review RAG pipelines at depth - experience building secure, compliant ingestion and retrieval systems with provenance tracking, including web automation, parsing, and document processing Agent frameworks ...

automated testing with pytest • Experience supporting and improving large, established production codebases, with a strong understanding of secure software development Experience with LangChain, RAG, vector databases, Azure, Entra ID, OAuth/OIDC, Redis, Terraform, Helm, Prometheus, Grafana or OpenTelemetry would be valuable but is not essential. Current SC clearance ...

cloud‐native delivery approaches Curiosity about AI‐enabled systems and how they scale responsibly Experience with LLMs, AI agent orchestration, or tools such as RAG, vector databases or LangChain is a bonus, but not essential. What's in it for you Flexible hybrid working 25 days leave, 2 days paid ...

7+ years in developing IT solutions* Proficient in Python & ReactJS and related technologies is required.* Experience with GenAI application development including vector stores, RAG solutions, context engineering, prompt engineering, observability is essential* Experience with Agentic AI development & Java Spring Framework would be advantageous* Understanding of full stack development and architecture ...

+ security considerations). Be the AI champion/evangelist within the tech team. You will set reference architectures for predictive ML, generative AI, RAG, and agentic systems; choose platforms and patterns teams can reuse; and hold the line on quality, governance, and operational readiness. The role requires strategic thinking ...

/EKS, Lambda, Bedrock, Docker). Notable understanding and experience building generative AI applications (LangChain, AutoGen, CrewAI or similar). Validated production experience with RAG, agent, and MCP-based systems, including AgentOps (CI/CD, monitoring, optimisation). Applied, pragmatic "builder/hacker" mindset with rapid iteration (idea ...