151 to 175 of 980 LLM Jobs in the UK

metrics to measure retrieval quality, context relevance, and end to end agent performance. Build reliable backend services and data pipelines that support ML and LLM components in production. Deliver experiments and new capabilities quickly, maintaining high quality and tight feedback loops with customers. Collaborate across product, ML, and infrastructure teams ...

design decisions across teams. Pragmatism under real‐world constraints, choosing achievable solutions over theoretical perfection. Highly desirable: hands‐on exposure to AI‐assisted engineering (LLM APIs, agentic coding tools, prompt‐driven workflows), experience taking early‐stage products from PoC/MVP to production, AWS experience, domain experience ...

technical SEO fundamentals - Proficiency with Google Analytics, Google Search Console and SEMrush - Understanding of Generative Engine Optimisation (GEO), Answer Engine Optimisation (AEO) and LLM visibility strategies - Python, SQL or automation experience The closing date for this role is 26th June 2026. Other organisations may call this role AI Marketing Executive ...

bigger picture — contributes to shaping direction, not just executing tasks Thrives in environments where impact matters more than hierarchy Experience deploying AI/LLM systems into production. JOB RESPONSIBILITIES Build robust and scalable software for business critical, web‐based applications Build eye‐catching, functional, efficient, and reusable web and mobile ...

solutions into production workflows, reducing manual intervention and improving operational resilience Leverage AI-driven tools such as anomaly detection, AI-assisted log analysis, and LLM-based copilots to proactively identify production issues and accelerate triage Represent the team confidently in cross-functional discussions with Technology, Product, and Client Services, pushing ...

solutions powering customer-facing products worldwide. You’ll work with Product, Platform and Engineering to develop production-grade AI systems, autonomous agents and LLM-powered applications. You’ll design and deliver production-ready AI solutions, build autonomous agents, orchestration, prompt engineering and Azure deployment. #J-18808-Ljbffr ...

platforms. Responsibilities include AI solution design, cloud engineering on GCP, data, MLOps, Responsible AI governance, and collaboration with underwriters and operations. Strong Python and LLM experience required. #J-18808-Ljbffr ...

senior AI/ML Scientist to deliver end-to-end AI solutions, from research to production, in a financial services context. You will design LLM/GenAI systems, RAG pipelines, and GraphRAG representations, collaborating with data and platform teams. The role emphasises experimentation, evaluation metrics, and production observability of LLMs ...

platform team. You will own delivery of high-stakes customer projects, embedding at client sites to architect, build, and deploy multimodal AI systems and LLM applications. You’ll drive end-to-end development from discovery to production, work across voice, vision, and text, and leverage LangChain, LlamaIndex, and modern MLOps ...

turn AI ideas into scalable products. What you’ll be doing Build and deploy production AI solutions using Python and modern AI frameworks Develop LLM applications using RAG, prompt engineering and agentic workflows Shape AI architecture, tooling and engineering standards Work across Azure, cloud infrastructure and deployment pipelines Integrate ...

have MongoDB and OpenSearch Vector databases (Qdrant, Weaviate, Milvus, Pinecone, pgvector) OIDC or identity infrastructure Infisical, PostHog, Oh Dear, or similar tooling AI/LLM platform experience GDPR-conscious cloud environments Enterprise security and compliance experience ...

concepts Opportunity sizing and commercial analysis Product performance measurement Your Skills & Experience Strong SQL skills Python experience or hands-on exposure to AI/LLM tools Experience delivering actionable insights to senior stakeholders Strong commercial acumen and problem-solving ability Experience designing, measuring and interpreting experiments Excellent communication and stakeholder ...

full-stack applications -JavaScript/TypeScript, Python (Java is a bonus). Experience working with AI technologies from Agentic systems, to RAG/CAG, LLM applications. Experience with cloud ecosystems (GCP, Azure, AWS) Good understanding of enterprise architecture, security and business processes. Comfortable engaging directly with customers and acting ...

deployment principles Desirable exposure: Accessibility and performance standards Cloud platforms ( Azure and/or AWS ) CI/CD pipelines Technical architecture concepts AI/LLM tooling About You An experienced senior developer with a strong track record of delivery Detail-driven, quality-focused and methodical in your approach to problem ...

world production environments. Working at the intersection of software engineering and machine learning, you will design and develop systems that power AI agents, large language model applications, and advanced automation solutions used by teams across the business. You will collaborate closely with engineers, data scientists, and product partners to transform … products. Design and build scalable backend platforms, APIs, and services that power AI applications, intelligent automation solutions, and AI agents Develop and deploy advanced LLM‐powered applications using techniques such as retrieval‐augmented generation, prompt engineering, evaluation frameworks, and model optimization Create robust data and inference pipelines that support both ...

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 ...

Senior AI & Robotics Engineer Oxfordshire (Hybrid) | £70,000-£80,000 + Bonus + Benefits *MUST HAVE VALID RIGHT TO WORK IN UK* We're working with an innovative technology business based in Oxfordshire that is ...

Clearance or the ability to obtain clearance. Desirable Experience Competent in a .NET ecosystem and with distributed computing concepts Experience working with AI frameworks, LLM integrations, and model orchestration tools. Exposure to cloud-native architectures and secure deployment environments. Experience supporting research, innovation, or experimental technology programmes. Experience developing solutions ...

data and analytics architectures Leading the delivery of cloud-native data platforms across the full data lifecycle Integrating machine learning, Generative AI and large language model capabilities into business solutions Defining data governance, security and architecture standards Advising senior stakeholders on technology strategy and roadmap development Leading and mentoring multidisciplinary ...

data and analytics architectures Leading the delivery of cloud-native data platforms across the full data lifecycle Integrating machine learning, Generative AI and large language model capabilities into business solutions Defining data governance, security and architecture standards Advising senior stakeholders on technology strategy and roadmap development Leading and mentoring multidisciplinary ...

data and analytics architectures Leading the delivery of cloud-native data platforms across the full data lifecycle Integrating machine learning, Generative AI and large language model capabilities into business solutions Defining data governance, security and architecture standards Advising senior stakeholders on technology strategy and roadmap development Leading and mentoring multidisciplinary ...

data and analytics architectures Leading the delivery of cloud-native data platforms across the full data lifecycle Integrating machine learning, Generative AI and large language model capabilities into business solutions Defining data governance, security and architecture standards Advising senior stakeholders on technology strategy and roadmap development Leading and mentoring multidisciplinary ...

convey complex data architecture decisions to both engineering teams and business stakeholders Familiarity with AI/ML data architecture patterns (feature stores, vector databases, LLM data pipelines) is a strong advantage AWS Solutions Architect or AWS Data Analytics certification is advantageous. #J-18808-Ljbffr ...

Azure) Development - Back End & Front End technologies (C#, SQL, JavaScript or Python) Data Reporting AI & ML - Understanding of AI and Large Language Models (LLM), AI Governance, Identifying opportunities for AI and Automation Integrations - between core business systems and third-party platforms Collaboration - working closely with key stakeholders and the wider ...

Azure) Development - Back End & Front End technologies (C#, SQL, JavaScript or Python) Data Reporting AI & ML - Understanding of AI and Large Language Models (LLM), AI Governance, Identifying opportunities for AI and Automation Integrations - between core business systems and third-party platforms Collaboration - working closely with key stakeholders and the wider ...