826 to 850 of 890 Retrieval-Augmented Generation Jobs in England

from initial design to production rollout Maintain and evolve background processing, agent orchestration, and LLM integrations Work with context-heavy data pipelines and RAG-style systems Operate and improve cloud infrastructure on GCP Improve performance across SQL queries, background jobs, and API endpoints Debug production issues and lead incident resolution … with background job systems (ideally Celery) Comfort designing reliable, observable systems Experience working with LLMs or AI infrastructure Exposure to agent-based systems or RAG pipelines Infrastructure Experience running cloud-native systems, ideally on GCP Familiarity with Infrastructure as Code, preferably Terraform Experience operating services in production, not just building ...

scientific rigor, and building an inclusive, collaborative culture.Deliver advanced AI and knowledge-discovery systems across the full lifecycle, from experimentation through production, including LLMs, RAG, search, and domain-enriched AI solutions.Drive evaluation and AI quality by establishing robust frameworks, metrics, experimentation practices, and responsible AI standards.Influence across product, technology … modern data science methods, including machine learning, experimentation, deep learning, generative AI, and production AI systems.Hands-on experience delivering AI-powered products, including LLMs, RAG, semantic search, embeddings, agentic workflows, and knowledge-driven systems.Proven success leading and developing technical teams in complex product, platform, or research environments.Experience working with large ...

Morgan’s Holdings is a global technology and retail group dedicated to overturning a hundred years of retail stagnation. By blending frictionless AI, "product-less" showrooming, and zero-waste logistics, we’ve created a model ...

Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain. We sit at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation. … expertise in CPG, retail, financial services, healthcare, or telecom. Experience taking clients from AI experimentation to scaled, governed adoption. Familiarity with context engineering concepts: RAG, semantic layers, knowledge bases, MCP. An existing network and reputation in the US data & AI market. Why you should join us We are united ...

team of engineers. Key Responsibilities * Lead the development and deployment of AI-powered tools to improve efficiency and productivity * Design advanced solutions including automation, RAG, and LLM-based workflows * Collaborate with stakeholders to identify and deliver strategic AI initiatives that deliver measurable business value * Provide guidance on AI architecture, tooling … with AI engineering, or software engineering (e.g. Python, Java, JavaScript/TypeScript etc.) with libraries/frameworks such as PyTorch, TensorFlow etc.) * Experience with RAG and LLM-based solutions * Solid understanding of AI architectures and data pipelines * Knowledge of security, compliance, and governance principles from a development perspective * Proven mentoring ...

ship customer-facing applications, APIs and internal platforms. Remain hands-on with coding, testing, architecture and code reviews. Build AI-enabled products using LLMs, RAG, agents and model APIs. Take AI ideas from rapid prototypes through to reliable production systems. Work across Python, React/TypeScript, Django, FastAPI, PostgreSQL … scalability, security, reliability and maintainability. Technology Python | React | TypeScript | Django | FastAPI | PostgreSQL | AWS | Docker | REST APIs | CI/CD | Git AI experience across LLMs, RAG, agentic workflows, embeddings, prompt design or model evaluation is particularly valuable. What Theyre Looking For 510 years' commercial software engineering experience. Strong, recent hands-onPython ...

powered features within a modern C#/.NET application stack. Integrate Large Language Models (LLMs) and Generative AI into customer-facing products. Build RAG pipelines using vector databases and semantic search. Develop APIs and backend services that support AI functionality at scale. Work closely with Product, Engineering and Data teams … looking for Strong commercial experience developing backend applications in C# and .NET. Experience integrating AI or LLM technologies into production software. Understanding of RAG, embeddings, prompt engineering and vector search. Experience building scalable cloud-based applications using Azure. A genuine interest in Applied AI and solving real-world product problems. ...

DevOps, and Architecture teams Drive adoption of AI engineering tools including GitHub Copilot, Cursor, and Claude Code Deliver AI-powered features using LLMs, RAG, semantic search, and intelligent automation Design workflow orchestration solutions using Camunda or similar BPM platforms Lead the implementation of Agentic AI capabilities, autonomous workflows … microservices, distributed systems, and RESTful APIs Experience with Camunda or similar workflow orchestration platforms Proven delivery of AI-enabled solutions including LLM integrations, RAG, vector databases, or prompt engineering Strong understanding of Agentic AI, AI orchestration, and intelligent workflow automation Experience with PostgreSQL, CI/CD pipelines, and cloud platforms ...

Python, with a solid understanding of ML fundamentals, including classification, clustering, time series analysis, and regime detection. Hands-on experience with LLM/RAG/agent technologies, demonstrating a track record of shipping models beyond notebooks. In-depth knowledge of financial markets, including macro, FX, rates, central banks, and economic … delivering high-quality results. Develop ML models for various financial market regimes, forecasting, event risk assessment, sentiment analysis, and market classification. Construct LLM/RAG/tool-calling agents to enhance market intelligence and streamline client workflows. Oversee model evaluation, backtesting, hallucination testing, and release gates, ensuring the highest standards ...

years of experience with software development using Python or similar coding languages.Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.Experience taking production-grade AI-driven solutions from conception to launch, and architecting AI systems on cloud platforms (e.g. … years of experience with software development using Python or similar coding languages.Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.Experience taking production-grade AI-driven solutions from conception to launch, and architecting AI systems on cloud platforms (e.g. ...

work includes:* Building and operating LSEG AI Assist, an in‐house agentic experience capable of reasoning, planning, and tool‐calling.* Operating QAS, the enterprise RAG and search layer used to ground agent responses in approved data sources.* Delivering a production Internal MCP Gateway providing discovery, security, policy enforcement, observability … long‐term quality and governance model for federated MCP contributions across LSEG.Skills* Strong Python experience for test harnesses and automation.* Experience with LLM and RAG evaluation frameworks or custom evaluation pipelines.* Test automation expertise covering unit, integration, and regression testing.* Understanding of agentic system risks and failure modes.* Ability ...

work includes:* Building and operating LSEG AI Assist, an in‐house agentic experience capable of reasoning, planning, and tool‐calling.* Operating QAS, the enterprise RAG and search layer used to ground agent responses in approved data sources.* Delivering a production Internal MCP Gateway providing discovery, security, policy enforcement, observability … Ability to translate complex AI/ML designs into clear documentation.* Knowledge of enterprise architecture principles (security, cloud, data, resilience).* Familiarity with LLM, RAG, and agentic system architectures and risks.* Strong stakeholder management and communication skills across technical and non-technical audiences.Career Stage:ManagerLondon Stock Exchange Group (LSEG) Information ...

Durable Functions, Temporal, Camunda or similar), decision tables (DMN), message backbones and CQRS-style read models. Practical, current knowledge of AI: LLMs, retrieval-augmented generation, agent patterns, and what it takes to run them safely over commercial customer data. Knowledge of the wider Microsoft ...

operations, knowledge management, innovation, or legal technology environment.Hands-on experience creating AI agents and working with modern large language models, including prompting, retrieval-augmented generation concepts, evaluation, workflow orchestration, and practical application to legal work.Ability to collaborate effectively with AI Enablement, Data Modernization, Document ...

knowledge management, innovation, or legal technology environment.* Hands-on experience creating AI agents and working with modern large language models, including prompting, retrieval-augmented generation concepts, evaluation, workflow orchestration, and practical application to legal work.* Ability to collaborate effectively with AI Enablement, Data Modernization ...

attention to detail. Ability to work effectively within Agile squads and cross-functional environments. Desirable: Exposure to AI testing methods (e.g., validating LLM outputs, RAG consistency, AI behaviour evaluation). Experience using AI-powered QA tools or test-generation frameworks. Knowledge of cloud environments (AWS/Azure ...

Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. 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 ...

Join us as we build the next generation of AI and autonomous agents to solve critical operational challenges at the scale of the world’s largest bank. You will have the opportunity to shape product strategy and delivery, working with cutting-edge technologies and collaborating with leaders across … execution and launch.Familiarity with AI model architectures, including Large Language Models, and methods such as prompting, context engineering, fine-tuning, retrieval augmented generation, model context protocols, and agentic frameworks.Excellent stakeholder management, structured thinking, and ability to connect product work to business outcomes.Preferred Qualifications, Capabilities ...

hackajob is partnering directly with Google to hire for this role. Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond … continue to push technology forward. AI in the Gemini Era is data-centric: the quality of the data used for training, fine-tuning, or RAG, matters more to the performance of the end product than almost anything else. Our mission is to improve the quality of models that Google releases ...

practical AI architectures and technical solutions Owning solution design from initial requirements through to delivery Architecting agentic AI systems using model APIs, orchestration frameworks, RAG and retrieval patterns Making informed decisions between different models, platforms, low-code solutions and custom development Designing integrations, APIs, data pipelines … Engineering or technical consulting backgrounds. You'll ideally bring strong experience across several of the following: AI/LLM solution architecture Agentic AI systems RAG and retrieval architectures Model APIs and orchestration frameworks Microsoft Copilot Studio Power Platform/Power Automate/Dataverse Azure and Microsoft 365 Python ...

practical AI architectures and technical solutions Owning solution design from initial requirements through to delivery Architecting agentic AI systems using model APIs, orchestration frameworks, RAG and retrieval patterns Making informed decisions between different models, platforms, low-code solutions and custom development Designing integrations, APIs, data pipelines … Engineering or technical consulting backgrounds. You'll ideally bring strong experience across several of the following: AI/LLM solution architecture Agentic AI systems RAG and retrieval architectures Model APIs and orchestration frameworks Microsoft Copilot Studio Power Platform/Power Automate/Dataverse Azure and Microsoft 365 Python ...

reliably author and execute complex workflows.Act as a technical solutions expert with strong aptitude in troubleshooting and analyzing AI-driven architectures, including scalable RAG pipelines and agent frameworks built using the Workato Agentic AI platform.Develop and maintain robust, scalable AI-powered IT workflows with agent-based decision-making, dynamic retrieval … monitor and improve AI system performance, ensuring efficiency and reliability.Work closely with customers to understand use cases and deliver tailored, scalable agentic AI and RAG-based solutions using the Workato Agentic AI platform, while prioritizing exceptional customer service to ensure alignment with both technical and business needs, as well ...

rigor, and building an inclusive, collaborative culture. Deliver advanced AI and knowledge-discovery systems across the full lifecycle, from experimentation through production, including LLMs, RAG, search, and domain-enriched AI solutions. Drive evaluation and AI quality by establishing robust frameworks, metrics, experimentation practices, and responsible AI standards. Influence across product … data science methods, including machine learning, experimentation, deep learning, generative AI, and production AI systems. Hands-on experience delivering AI-powered products, including LLMs, RAG, semantic search, embeddings, agentic workflows, and knowledge-driven systems. Proven success leading and developing technical teams in complex product, platform, or research environments. Experience working ...

governance, design standards, and manage risk, non-functional requirements (NFRs), and technical debt. Agentic AI & Commerce Innovation: Design AWS-based agentic AI platforms (orchestration, RAG, memory, guardrails, and MCP). Establish reusable patterns. Internal Business Engagement: Build trusted relationships with senior stakeholders, translate complex concepts, and facilitate technical discovery workshops. … including serverless patterns and appropriate integration components). Agentic AI & Commerce: Strong understanding of building agentic AI platforms on AWS (e.g., Bedrock, orchestrations, RAG, gateways/MCP) and awareness of emerging concepts and standards. Software Engineering & API Design: Strong development background (ideally Java/JavaScript) coupled with robust API design ...

strong technical depth with delivery leadership and stakeholder management. You’ll implement AI and agentic systems across enterprise clients, designing scalable architectures using LLMs, RAG pipelines, and agentic workflows, while working closely with engineering and product teams to ensure successful outcomes. The Candidate Key attributes of the suitable Lead … Strong background delivering production-grade solutions, ideally within consulting or product-led environments. Agentic AI & Modern AI Systems Experience – Hands-on exposure to LLMs, RAG pipelines, and agentic Delivery Leadership & Client Ownership – Comfortable leading teams while remaining technically involved and managing client relationships post-sale ...