101 to 125 of 981 LLM Jobs in the UK

well‐structured production code. Qualifications – Nice to Have Experience with streaming or queuing systems (Kafka, Pub/Sub, SQS). Familiarity with AI/LLM systems (AOE integration), though not required across all charters. Knowledge of data engineering patterns or ETL/ELT workflows. Prior experience with API gateway architectures ...

asset classes, with an appreciation of how transactions flow from source product systems to financial reporting* Strong working knowledge of Agentic AI, ML, LLM, A2A concepts, Intelligent rule engine and their practical applications in business processes across financial services.* Solid Experience with Data pipelines/integrations and consumption patterns, Modelling ...

asset classes, with an appreciation of how transactions flow from source product systems to financial reporting Strong working knowledge of Agentic AI, ML, LLM, A2A concepts, Intelligent rule engine and their practical applications in business processes across financial services. Solid Experience with Data pipelines/integrations and consumption patterns, Modelling ...

prompt engineering, structured outputs, function/tool calling, and orchestration frameworks like LangChain, LangGraph, LlamaIndex, and Semantic Kernel. Hands‐on exposure to API-based LLM providers (Claude, GPT, Gemini) and open‐source solutions (Llama, Mistral). Agentic AI & Orchestration : Hands‐on experience designing autonomous and multi‐agent systems that reason … Foundation models & LLMs: GPT, Claude, Gemini, Llama, Mistral; multimodal and reasoning models; context windows, tokenization, fine‐tuning (LoRA/PEFT); RLHF/RLAIF concepts LLM application & agent frameworks: LangChain, LangGraph, LlamaIndex, Semantic Kernel, Haystack, CrewAI, AutoGen Interoperability & integration: MCP, function/tool calling, structured outputs, API integration, event‐driven ...

Senior AI Engineer Location: Scotland (Edinburgh Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Shape the future of AI-powered financial services through cutting-edge generative AI engineering and enterprise-scale innovation. The Role We’re ...

Quilter plc is hiring a Senior AI/ML Scientist to lead end-to-end development and deployment of advanced ML models, including GenAI and RAG pipelines, within the AI Centre of Excellence in either ...

identify, structure and scale growth opportunities through partnerships, platform ecosystems and go-to-market frameworks Deep understanding of the AI platform landscape, including large language model infrastructure, agentic frameworks and data standards such as Model Context Protocol, with the ability to translate capabilities into product use cases and business value ...

Engineer | Digital Agency | £60-70,000 NLP | LLM | RAG | AI | ML My client is currently looking for an AI Engineer , to play a key role in designing, building and embedding AI-enabled capabilities across digital products and shared platforms. You will focus on the practical application of large language models ...

remediate high-cost query anti-patterns, and implement warehouse scheduling strategies to reduce operational data spend. AI Readiness: Architect data stores purpose-built for LLM consumption - including vector databases, embedding pipelines, and RAG-compatible data structures that will serve as the foundation for Bestway's AI product layer. Data Contracts ...

ability to discuss and demonstrate the value of Generative AI and Machine Learning use cases for enterprises. Hands-on experience with modern AI/LLM ecosystems, including Retrieval-Augmented Generation (RAG), and familiarity with open-source frameworks such as LangChain, Hugging Face, or PyTorch, along with a solid understanding ...

real-world problems Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences Even better... Experience building or deploying AI/LLM systems in production Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed Familiarity with tools that ...

ecosystem tools: Linux, Python, Spark, Hive; and modern data platforms and tools (e.g. Databricks, NoSQL stores) and AI/ML frameworks (e.g. NLP). LLM integration patterns, RAG pipelines, and agentic AI architectures, including MCP server. Domain experience in Credit Risk, Market Risk, Liquidity or Capital. Experience in defining data ...

high‐quality solutions aligned with business objectives. Qualifications and Skills Deep expertise in designing and building enterprise‐grade AI agents, multi‐agent systems, LLM‐powered orchestration, real‐time decisioning engines, human‐in‐the‐loop workflows, and autonomous risk services. Proven experience building highly scalable, resilient, cloud‐native platforms leveraging event ...

Lambda, DynamoDB, and S3 as components of AI system backends. Observability – experience instrumenting AI systems with tracing, logging, and monitoring tooling (CloudWatch preferred). LLM integration – prompt engineering, tool/function calling, context window management, and output parsing. AWS certifications desirable, particularly the AI/ML Specialty. What ...

closely with product, design, mobile, and machine learning team members to design & build experiences that re‐define in‐store shopping. We believe that agentic, LLM‐driven workflows are here to stay and are looking for engineers who have embraced this and will bring a different perspective to our product development ...

solve real‐world problems. Excellent communication skills—clear, direct, persuasive across technical and non‐technical audiences. Even Better Experience building or deploying AI/LLM systems in production. Founder or founding engineer experience. Familiarity with AI agent tools: eval frameworks, agent tooling, RAG pipelines, and prompt engineering. Prior experience with ...

confident and credible with customer engineering teams and senior technical stakeholders; clear written and verbal communication. Strong plus: experience building or integrating AI/LLM‐powered systems (agent workflows, orchestration, evaluation, vector DBs, guardrails), ideally in forward‐deployed or solutions engineering environments. Our Recruiting Process Talent Acquisition → Hiring Manager → Technical ...

understanding of how a payments or fintech business operates, including fraud, chargebacks, KYC/AML, and payment success rates. Comfort using AI‐assisted and LLM tools to accelerate analysis, and curiosity about building reusable skills that scale your impact. Exceptional communication and stakeholder skills. You can distill complex findings ...

Responsibilities Design & Deploy: Architect and launch robust, scalable, cloud-native AI applications. Agentic Workflows: Implement, optimize, and manage advanced agent-based AI workflows and LLM integrations. System Integration: Seamlessly integrate diverse AI platforms and tools into existing enterprise ecosystems. Production Excellence: Ensure all AI-driven systems are secure, performant ...

that powers our conversational AI products and wider AI strategy.You'll design, build and operate the cloud-native platform supporting Retrieval-Augmented Generation (RAG), LLM orchestration, vector search and production AI services, working closely with AI Engineering, DevOps and Security teams to deliver scalable, secure and reliable AI solutions. Role ...

fast-paced, iterative environment. Desirable Experience Exposure to Azure’s AI ecosystem (AI Foundry, AI Search, Cosmos DB, AKS). Experience integrating AI/LLM-based services into production systems. Familiarity with modern development tooling such as VS Code and AI-assisted coding tools. Why Apply? Work on a genuinely ...

locked inside on-prem databases, servers, and CSV dumps. Data that their teams simply don't have the tools to leverage. By pairing modern LLM breakthroughs with reliable backend engineering, our client is changing that, transforming amorphous legacy data into clear, actionable insights for nontechnical teams on the ground. Working ...

into solutions that can be adopted more widely across the organisation. Qualifications Strong software engineering background with modern AI technologies. Hands‐on experience building LLM‐powered systems in production, including agents, RAG pipelines, MCPs, tool‐use and multi‐step workflows. Familiarity with frameworks such as LangGraph, Pydantic AI or similar. ...

Copilot Studio/Foundry, AWS Bedrock/AgentCore, and frameworks such as LangChain, LangGraph, CrewAI, Strands. Comfortable across Microsoft and AWS cloud ecosystems, including LLM gateway/Bedrock patterns, data residency, SSO/OIDC federation, and cost controls. Experience with Claude/Anthropic, OpenAI, Microsoft Copilot families, including MCP, connectors ...

Copilot Studio/Foundry, AWS Bedrock/AgentCore, and frameworks such as LangChain, LangGraph, CrewAI, Strands. Comfortable across Microsoft and AWS cloud ecosystems, including LLM gateway/Bedrock patterns, data residency, SSO/OIDC federation, and cost controls. Experience with Claude/Anthropic, OpenAI, Microsoft Copilot families, including MCP, connectors ...