326 to 350 of 2,332 LLM Jobs in the UK

React on the frontend. Solid understanding of backend architecture: API design, service patterns, and database modelling with PostgreSQL. Experience building or working closely with LLM‐powered or agentic systems using Python. Prompt engineering, tool use, RAG, agent orchestration frameworks, or similar. Proficiency with AI‐assisted development tools (e.g. GitHub Copilot ...

platforms, and automation solutions Design, develop, and deploy scalable AI solutions from concept to production and ongoing optimisation Build and maintain agentic AI systems, LLM applications, and automation workflows that deliver measurable business value Develop AI agents that enhance decision‐making, automate tasks, and improve operational efficiency Transform proof ...

phrase "in practice" exactly once. Bonus points Previously founded a company. Startup experience. Design tooling literacy (Figma), or a design background. Experience with LLM‐backed product features: RAG, embeddings, evaluation. Go, or a willingness to learn it. It's what most of our backend is written in. Data or analytics ...

Remitly expands into new markets and corridors. Contribute to Treasury-wide agent governance standards, evaluation frameworks, and shared infrastructure. Research and recommend emerging LLM capabilities and agentic tooling to keep the Funding function ahead of the curve. Partner closely with the Treasury Engineering team to develop the data accuracy, completeness ...

event-driven data pipelines. Knowledge of data visualisation preferably Tableau or Metabase. Experience making data safely self-service through internal tooling, analytics platforms or LLM-powered interfaces. Experience supporting product analytics or building data-powered product features. Benefits 25 days holiday plus bank holidays; 3 days winter leave; Work from ...

powered capabilities to enhance product functionality, engineering productivity, and client value.This role requires hands-on technical leadership across software engineering, system design, AI/LLM engineering, agile delivery, and cloud-native architectures, while managing a team of engineers and external partners. You will collaborate closely with Analytics Business, Product, Architecture … maintainability, resilience, and high engineering quality.* Lead technical architecture and system design for distributed, cloud-native applications and services.* Drive adoption of AI/LLM technologies across Private Markets products, including prompt engineering, Retrieval-Augmented Generation (RAG), AI-assisted workflows, and intelligent automation where they deliver measurable business value.* Lead ...

engineering; orchestration frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel). Hands‐on exposure to both API‐based (Claude, GPT, Gemini) and open‐source (Llama, Mistral) LLM‐based solution design. Agentic AI & Multi‐Agent Architecture – design of autonomous and multi‐agent systems, agentic design patterns (ReAct, planning, reflection, tool use, human … embeddings, vector databases (Pinecone, Weaviate, Chroma, pgvector, FAISS), hybrid search and retrieval evaluation. Familiarity with GraphRAG and agentic RAG. LLMOps, Evaluation & Responsible AI – operationalizing LLM and agentic systems at scale; evaluation harnesses, quality metrics, observability, tracing and monitoring (LangSmith, LangFuse); guardrails, red‐teaming and continuous optimization of accuracy, cost ...

Join Kainos and Shape the Future At Kainos, we're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we're transforming digital services for millions, delivering cutting-edge ...

Join Kainos and Shape the Future At Kainos, we're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we're transforming digital services for millions, delivering cutting-edge ...

Join Kainos and Shape the Future At Kainos, we're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we're transforming digital services for millions, delivering cutting-edge ...

plus. Job Responsibilities Design, develop, and deploy GenAI and Agentic AI solutions that improve automation, decision-making, and user experience across business workflows. Build LLM/SLM-powered applications including RAG-based systems, summarization/extraction pipelines, chat/coplay experiences, and tool-using agents. Engineer production-grade services using … copilots). Familiarity with MCP (Model Context Protocol), Agent Skills and architectures that connect models to tools/data through standardized interfaces. Familiarity with LLM application patterns: embeddings/vector search, prompt orchestration, tool calling/function calling, safety/guardrails, evaluation. Strong software engineering experience delivering production systems; ability ...

plus. Job ResponsibilitiesDesign, develop, and deploy GenAI and Agentic AI solutions that improve automation, decision-making, and user experience across business workflows. Build LLM/SLM-powered applications including RAG-based systems, summarization/extraction pipelines, chat/coplay experiences, and tool-using agents. Engineer production-grade services using Java … summarization, copilots).Familiarity with MCP (Model Context Protocol), Agent Skills and architectures that connect models to tools/data through standardized interfaces. Familiarity with LLM application patterns: embeddings/vector search, prompt orchestration, tool calling/function calling, safety/guardrails, evaluation. Strong software engineering experience delivering production systems; ability ...

best practices across delivery programs. Design secure, resilient, highly available AI systems at enterprise scale, across structured and unstructured data. Design and deliver LLM-powered applications: conversational AI, enterprise copilots, knowledge management, and workflow automation. Architect advanced retrieval using RAG, Agentic RAG, Graph RAG, knowledge-graph, and hybrid approaches. Design … Personal attributes we would like to have: Core Knowledge Expected Programming & engineering : expert Python; REST APIs and microservices; FastAPI; distributed systems; cloud-native architecture. LLM application delivery: prompt engineering, tool and function calling, RAG, and at least one production Agentic AI system. Cloud AI platform : deep experience with ...

tests (JUnit 5, Mockito, Testcontainers) to maintain high coverage. Collaborate with QA, DevOps, and Product teams in an Agile (Scrum/Kanban) environment. Integrate LLM-based capabilities (e.g., OpenAI, Gemini, Claude) into Java services via REST/SDK — for use cases such as document extraction, policy summarisation, or intelligent routing. … design. Experience with CI/CD pipelines (Azure DevOps, GitHub Actions, or equivalent). Demonstrated hands-on exposure to at least one of: LLM API integration, vector databases, prompt engineering, or RAG pipeline construction — even in a personal project or hackathon context. Familiarity with REST-based AI APIs (OpenAI, Anthropic ...

Join Kainos and Shape the Future At Kainos, we're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we're transforming digital services for millions, delivering cutting-edge ...

Senior AI Engineer Manager/Associate Director | Capital MarketsLocation: London Working pattern: HybridSalary: Compensation aligned to experience and seniorityRef: J13114Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI ...

emerging technologies and make recommendations for platform evolution. Participate in architecture design reviews and provide technical leadership on complex initiatives. Complementary AI Based Skills LLM Orchestration & Agentic Workflows: Experience in designing, building, and deploying Large Language Model (LLM) orchestration frameworks (e.g., LangChain, Temporal, or custom agentic loops) to coordinate multi ...

JPMorganChase in the United Kingdom seeks a Software Engineer III to join Corporate Technology. You will be a senior member of an agile team delivering secure, scalable software solutions across multiple domains and leveraging AI ...

systems to detect fraud, abuse, and policy violations in user-generated content across text and multimodal domains Lead the development and application of LLM-based approaches, including model selection, fine-tuning, evaluation, and failure analysis Define and drive experimentation strategy, including offline evaluation and online testing, to rigorously measure impact ...

doing? As a Senior AI Infrastructure Engineer focused on model training and inference, you will: Implement and scale training pipelines for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation. Build and optimize inference services that deliver low‐latency, high‐reliability experiences ...

Science, or a related field.8+ years of applied machine learning/research experience, with demonstrated leadership in developing production-grade models. Deep expertise in LLM and deep learning training and deployment at scale. Have a bias-for-action, ability to make high-judgement decisions, and be comfortable in the face ...

records are maintained. Maintain awareness in developments in Artificial Intelligence (AI) and Machine Leaning (ML), including Generative AI, Agentic AI and Large Language Models (LLM) and their use in the development of IXICO computerized systems and products/services. Ensure the IXICO Management System incorporates regulatory requirements ...

practices. Experience in prompt engineering, with the ability to design, test, and systematically improve prompts, while measuring the accuracy, bias, and robustness of LLM outputs. Awareness of agentic workflows involving AI agents that can plan, reason, and take autonomous actions. Awareness of governance, security, and compliance considerations relating to data ...

practices. Experience in prompt engineering, with the ability to design, test, and systematically improve prompts, while measuring the accuracy, bias, and robustness of LLM outputs. Awareness of agentic workflows involving AI agents that can plan, reason, and take autonomous actions. Awareness of governance, security, and compliance considerations relating to data ...

comprehensive knowledge of machine learning frameworks such as TensorFlow or PyTorch, as well as AI agent frameworks like LLamaIndex and LangGraph; well-versed in LLM orchestration and MCP usage. Data-driven mindset: skilled in designing data strategies, including data collection, curation, and augmentation, to support model development. Experience with ...