651 to 675 of 889 Retrieval-Augmented Generation Jobs in England

Assurance You'll also have a good understanding of how AI systems actually introduce security risk — whether that's through LLM applications, APIs, RAG, agents, tool use, data access or autonomous workflows. Experience with NIST AI RMF, OWASP LLM/Agentic AI guidance, MITRE ATLAS, ISO 27001, NIST ...

squad's needs evolve. Requirements Engineering experience: 3+ years in software engineering, with hands‐on experience building LLM‐powered applications in production (RAG, tool‐augmented agents or agentic workflows). Education: BS in Engineering, Computer Science, or equivalent. Ways of working: Comfortable working autonomously within a defined problem … doesn't make sense, and delivering in short, time‐boxed cycles where validated outcomes matter more than perfect solutions. Agentic AI/LLMs: Building RAG pipelines, tool‐augmented agents and agentic workflows; familiar with prompt engineering, context management, evaluation and observability. Agent fundamentals: Understands how agents use memory ...

DevelopmentDesign and build LLM‐driven agents to support planning, optimization, and decision‐making workflowsDevelop agent orchestration patterns (tools, memory, evaluation, guardrails)Build and maintain RAG pipelines, structured prompting, and retrieval strategiesTreat simulation as a first‐class design tool (using synthetic data, scenario replay, and state machines to validate … platformsExperience building developer tools or internal platformsExposure to regulated or security‐conscious environmentsTech StackBackend: Python (Django/FastAPI), TypeScript (Node.js)Frontend: ReactAI: LLMs, RAG pipelines, agent frameworksInfra: Cloud (AWS/GCP), Docker, CI/CD, IaCData: SQL, event‐driven systems, analytics pipelinesAdditional InformationWe embrace flexibility and hybrid work opportunities ...

Generative AI, Agentic AI, and advanced data science solutions for real-world business problems. You’ll design and develop multi-agent systems, implement RAG pipelines, and deliver production-ready AI applications that transform client capabilities across multiple industries. If you're passionate about pushing the frontiers of LLMs, orchestration frameworks … frameworks such as LangGraph, CrewAI, AutoGen, and Semantic KernelImplement orchestration patterns including planner/executor, supervisor/worker, and tool-calling workflowsDesign and build RAG pipelines, including embeddings, chunking, hybrid search, and retrieval evaluation for enterprise data groundingDevelop orchestration engines supporting multi-step planning, delegation, and fallback paths ...

technology challenges in global financial intelligence — maintaining and evolving the systems that analysts and clients depend on today, while simultaneously building the next generation of platforms from a position of real creative freedom and organizational backing. This is a role for someone who moves fast, experiments boldly … sophisticated CI/CD and deployment pipelines for large-scale application delivery Generative AI and intelligent systems experience — hands-on experience with LLMs, RAG architectures, agentic workflows, or production ML systems; the ability to move between engineering credibility and strategic vision without losing altitude AI-native delivery leadership — direct experience ...

services. Our work empowers R&D within Chemistry and Biology domain, to support that you’ll work on AI-based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and confidentiality.Key ResponsibilitiesML & LLM Engineering, Search and Recommendation EnginesAutomate …/B testing. Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization Stay current with the latest GAI research, NLP and RAG and apply the state-of-the-art in our experiments and systems Collaboration Partner with Data Scientists, Engineers, Subject Matter Experts, Product Managers, and Responsible ...

advisor to client CxOs. Key Responsibilities Architecture and Solution Design: Architect enterprise AI solutions using frontier models (Claude, GPT, Gemini family) across agentic automation, RAG, copilots, and multi-modal applications. Pre-Sales and Discovery: Lead technical solutioning during pre-sales and discovery, translating client business challenges into scalable AI architectures … specifically on applied AI/ML or Generative AI. Hands-on GenAI Depth: Proven experience architecting solutions with frontier modelsincluding prompt engineering, fine-tuning, RAG, and agentic/multi-agent system design. LLMOps/MLOps Grounding: Expertise in evaluation frameworks, observability, cost and latency optimization, guardrails, and safe deployment ...

efficiency ; shorter cycle times, less manual effort, higher accuracy, lower cost-to-serve. Engineer the agent core: apply prompt engineering, context engineering, prompt caching, RAG/context-graph retrieval, memory, tool/function calling, MCP integration and multi-agent orchestration. Integrate to standards: connect agents into client ecosystems … Agents SDK, AWS Bedrock AgentCore or Microsoft Agent Framework/Semantic Kernel). Solid command of agent engineering: prompt engineering, context engineering, prompt caching, RAG/context graphs, tool/function calling, MCP, and multi-agent orchestration. Eval-driven development: designing evaluation harnesses and measuring agent quality, safety and reliability. ...

tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teamsApplies knowledge … with multiple modern programming languages including Python, Golang, TypeScript and similar technologies in an AWS/Cloud environmentExperience in the use of GPT, LLM, RAG, Gen AI, Prompt Engineering related technologiesExperience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages ...

lead for complex, multi‐region AI programs; define solution strategy, roadmap, and measurable outcomes.Lead workshops/discoveries focused on AI‐enabled engineering (LLMs, agents, RAG, prompt ops, model ops).Architect AI integrations across APIs, pipelines, cloud services, and enterprise toolchains; enforce reliability, safety, and cost discipline.Operationalize agentic engineering (task decomposition … skillsA high degree of initiative and flexibilityHigh customer orientationHigh quality awarenessExcellent verbal and written communication skillsAbout InfosysInfosys is a global leader in next-generation digital services and consulting. We enable clients in 46 countries to navigate their digital transformation. With over three decades of experience in managing ...

stronger business performance.Within this global function, you will be embedded in a small, high-impact team responsible for researching, prototyping, and productionising next-generation analytics capabilities for Fitch Group. We’re looking for someone who can work with a high degree of autonomy, bring structure to ambiguous problems … metrics layer, Cube, AtScale) or knowledge graph tooling.Familiarity with BI platforms (e.g., Qlik, Power BI, Tableau) and their extensibility models.Understanding of vector databases, RAG architectures, and embedding-based retrieval.Experience with containerisation (Docker) and/or CI/CD pipelines.Exposure to data modelling (including dimensional modelling) and/or metadata management.Why ...

cloud services (compute, storage, networking, security). Desirable Exposure to applying AI/ML techniques to business problems. Exposure to GenAI, LLMs, RAG or agent-based workflows. Experience using AI-assisted development tooling (e.g. GitHub Copilot, Cursor) to accelerate delivery. Experience working in an agile environment. Experience in financial services … such as Streamlit or ReactJS. Awareness of the AI/ML model lifecycle, training data, evaluation, tuning, monitoring. Awareness of GenAI concepts, prompting, embeddings, RAG, vector databases. Knowledge of Snowflake specifically, and its integration patterns on AWS. Awareness of enterprise architecture, security and regulatory considerations in financial services. Disability Confident ...

Solution Development: Drive the end-to-end execution of business-critical Proof-of-Value (PoV) projects. Deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails; integrating with enterprise data, identity, and compliance frameworks.Value Selling & Realization: Maintain active technical and advisory involvement with strategic accounts, ensuring the project … scikit-learn, XGBoost, Hugging Face Transformers).Agentic AI Systems: Hands-on experience with agentic AI setups including LLM orchestration, tool use/function calling, RAG, agents, prompt engineering, or agentic patterns for enterprise workflows.Production ML/LLMOps: Experience with model deployment, monitoring, MLOps/LLMOps, and lifecycle management across cloud ...

value. Establish and maintain platform implementation standards and metadata schemas that keep the knowledge model accurate, governed, scalable and fit for search, retrieval-augmented generation, automated classification and other AI-enabled services. Partner with Practice Group SMEs and Knowledge teams to capture and validate … experience designing, governing or operationalising ontologies, taxonomies, metadata models, knowledge graphs or structured knowledge frameworks, including their use in AI-enabled search, retrieval-augmented generation, automated classification or knowledge discovery. Strong understanding of data quality, metadata management, content lifecycle governance, access controls and information ...

value. Establish and maintain platform implementation standards and metadata schemas that keep the knowledge model accurate, governed, scalable and fit for search, retrieval-augmented generation, automated classification and other AI-enabled services. Partner with Practice Group SMEs and Knowledge teams to capture and validate … experience designing, governing or operationalising ontologies, taxonomies, metadata models, knowledge graphs or structured knowledge frameworks, including their use in AI-enabled search, retrieval-augmented generation, automated classification or knowledge discovery. Strong understanding of data quality, metadata management, content lifecycle governance, access controls and information ...

value. Establish and maintain platform implementation standards and metadata schemas that keep the knowledge model accurate, governed, scalable and fit for search, retrieval-augmented generation, automated classification and other AI-enabled services. Partner with Practice Group SMEs and Knowledge teams to capture and validate … experience designing, governing or operationalising ontologies, taxonomies, metadata models, knowledge graphs or structured knowledge frameworks, including their use in AI-enabled search, retrieval-augmented generation, automated classification or knowledge discovery. Strong understanding of data quality, metadata management, content lifecycle governance, access controls and information ...

range of qualifications.Tech focus: Python and AWS (or equivalents in Azure or GCP), with hands‐on work across classical ML and modern LLM/RAG systems using services like Amazon SageMaker and Bedrock. What you’ll doPartner with stakeholders across the business to explore high‐impact opportunities.Own … full lifecycle: problem framing, data discovery, feature engineering, modelling, evaluation, deployment, monitoring, and iteration.Build and productionize LLM features where appropriate (retrieval‐augmented generation, evaluation, safety guardrails, cost/latency optimization) on AWS. Contribute to DS/ML standards: experimentation, model governance, documentation, and reproducibility.Mentor ...

Klondike financial reporting platform.Engineer Digital Integrated Agents for JTC's client-facing digital products, enabling non-linear user journeys, content and dynamic UI generation, conversational AI-enabled analytics and reporting, and persona-aware hyper-personalisation services.Deliver the enterprise document extraction platform and agent supporting workflows across service delivery … scale from prototype through governed production deployment and ongoing operation.Deep hands-on expertise in LLMs and agentic systems: prompt and context engineering, retrieval-augmented generation, tool/MCP orchestration, multi-agent workflows and evaluation frameworks. Experience with the Anthropic stack (Claude, Claude Code, agent ...

event-driven architectures, including Kafka Agentic AI and ML Commercial and open-source LLMs integrated into agentic workflows Tooling for agent orchestration, retrieval-augmented generation, vector storage, and evaluation Strong schema, validation, and state management practices AI-assisted developmen t Fluency with AI-assisted ...

systems. Strong technical understanding of AI/ML and generative AI systems, including model development, model evaluation, data pipelines, embeddings, retrieval-augmented generation, prompt engineering, monitoring, drift, robustness, explainability, and safety testing. Demonstrated ability to assess technical AI risks and recommend practical controls ...

advisory for AI systems.Strong technical understanding of AI/ML and generative AI systems, including model development, model evaluation, data pipelines, embeddings, retrieval-augmented generation, prompt engineering, monitoring, drift, robustness, explainability, and safety testing.Demonstrated ability to assess technical AI risks and recommend practical controls ...

outcomes in partnership with cross-functional teams Preferred Qualifications, Capabilities, and Skills Experience with NLP and generative AI, including large language models, retrieval-augmented generation, tool and function calling, agentic workflows, multi-agent orchestration, and related evaluation and safety patterns Familiarity with agentic building ...

drive outcomes in partnership with cross-functional teamsPreferred Qualifications, Capabilities, and SkillsExperience with NLP and generative AI, including large language models, retrieval-augmented generation, tool and function calling, agentic workflows, multi-agent orchestration, and related evaluation and safety patternsFamiliarity with agentic building blocks ...

have Experience building, deploying, and maintaining machine-learning pipelines in production (the maintenance matters as much as the building). Experience with Retrieval-Augmented Generation, and with vector or graph databases. Familiarity with a modern data stack: Databricks, dbt, DLT, Unity Catalog or similar. ...

extract patterns from one‐off work and turn them into reusable assets for others. Applied AI and Agentic Systems Experience building with LLMs, agents, RAG, tool use, workflow orchestration, or automation systems. Ability to reason about multi‐agent, human‐in‐the‐loop, and enterprise integration patterns. Comfort debugging agent behavior ...