1 to 25 of 715 Permanent LLM Jobs in the UK excluding London

understanding of the distinction between Generative AI and Agentic AI, including their foundations, capabilities, and appropriate use cases. Strong understanding of AI, ML and LLM concepts, including prompt engineering, prompt grounding, iterative loop techniques, context windows, embeddings, RAG, agentic workflows. Proven ability to integrate AI capabilities both into low-code ...

capabilities into products and services Establish CI/CD pipelines and MLOps practices Drive technical quality, performance and operational resilience Design and implement Large Language Model solutions and Retrieval-Augmented Generation architectures Implement prompt engineering and AI orchestration frameworks Evaluate AI model performance, accuracy and cost optimisation Use Microsoft Copilot ...

date on market trends, new opportunities, and the changing landscape of AI technologies. Requirements Experience AI Orchestration & Development: Expert-level experience building complex LLM-powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural ...

framing and business case through to deployed, monitored production services with measurable advisor and client impact Leads the engineering build of agentic AI and LLM-powered products serving IPB advisors and clients across international markets Sets the engineering quality bar for the team's AI products through code reviews, technical ...

essential: - Strong general-purpose programming (most commonly Python) applied to AI/ML systems - Semantic search, vector/embedding infrastructure, and RAG pipeline construction - LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns) - Prompt engineering and systematic evaluation/guardrail tooling (hallucination detection, safety testing ...

date on market trends, new opportunities, and the changing landscape of AI technologies. Requirements Experience AI Orchestration & Development: Expert-level experience building complex LLM-powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural ...

date on market trends, new opportunities, and the changing landscape of AI technologies. Requirements Experience AI Orchestration & Development: Expert-level experience building complex LLM-powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural ...

application programming interfaces, data pipelines, inference pipelines, and platform capabilities that support real-time and batch AI workloads at enterprise scale Implement advanced large language model applications using retrieval-augmented generation, prompt orchestration, evaluation frameworks, model optimisation, agentic workflows, and tool integration Make key technical decisions while remaining accountable ...

framing and business case through to deployed, monitored production services with measurable advisor and client impact Leads the engineering build of agentic AI and LLM-powered products serving IPB advisors and clients across the globe. Sets the engineering quality bar for the team's AI products through code reviews, technical ...

problem framing and business case through to deployed, monitored production services with measurable advisor and client impactLeads the engineering build of agentic AI and LLM-powered products serving IPB advisors and clients across the globe. Sets the engineering quality bar for the team's AI products through code reviews, technical ...

application programming interfaces, data pipelines, inference pipelines, and platform capabilities that support real-time and batch AI workloads at enterprise scale Implement advanced large language model applications using retrieval-augmented generation, prompt orchestration, evaluation frameworks, model optimisation, agentic workflows, and tool integration Make key technical decisions while remaining accountable ...

intersection of Data Engineering, AI and Generative AI , giving you the opportunity to work across modern data platforms, scalable data pipelines, machine learning and LLM-enabled solutions. You must currently come from, or have recent experience working within, a consultancy or professional services environment , with experience delivering technical solutions directly ...

experience, and surfacing IPB-first use cases) to discover and frame high-value AI/ML opportunities Rapidly prototypes and builds agentic AI and LLM-powered solutions full-stack and end-to-end (backend, data, and lightweight interfaces as needed) to demonstrate value quickly, then hardens and scales them with ...

depth in some areas and the range to grow into the rest. Depth in one or more research areas relevant to our work, e.g. LLM reasoning, reinforcement learning, machine learning, statistical modeling, or quantitative optimization. Academic publications, preprints, or open-source contributions. Experience building and deploying AI agents and agentic ...

depth in some areas and the range to grow into the rest. Depth in one or more research areas relevant to our work, e.g. LLM reasoning, reinforcement learning, machine learning, statistical modeling, or quantitative optimization. Academic publications, preprints, or open-source contributions. Experience building and deploying AI agents and agentic ...

depth in some areas and the range to grow into the rest. Depth in one or more research areas relevant to our work, e.g. LLM reasoning, reinforcement learning, machine learning, statistical modeling, or quantitative optimization. Academic publications, preprints, or open-source contributions. Experience building and deploying AI agents and agentic ...

models or data-intensive services in production (MLOps) Practical experience with observability tooling (metrics, logging, tracing) and production incident response Experience operating ML/LLM workloads in production (LLMOps, inference reliability, cost/performance management) Strong communication skills and the ability to set standards other engineers adopt Industry-recognised container ...

Preferred qualifications, capabilities, and skills Experience with data, AWS and AIML engineering in commercial settings, preferably in financial sector Experience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOps Prior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector ...

models or data-intensive services in production (MLOps) Practical experience with observability tooling (metrics, logging, tracing) and production incident response Experience operating ML/LLM workloads in production (LLMOps, inference reliability, cost/performance management) Strong communication skills and the ability to set standards other engineers adopt Industry-recognised container ...

models or data-intensive services in production (MLOps) Practical experience with observability tooling (metrics, logging, tracing) and production incident response Experience operating ML/LLM workloads in production (LLMOps, inference reliability, cost/performance management) Strong communication skills and the ability to set standards other engineers adopt Industry-recognised container ...

tools (Splunk, Grafana, Datadog, Prometheus, etc.). Deep understanding of cloud infrastructure design, architecture, and migration strategies. Proficiency with AI-assisted coding workflows, including LLM-powered development tools, spec-driven development, and prompt engineering. Preferred Qualifications, Capabilities, and Skills: Master’s degree in a related field and certifications in Cloud ...

tools (Splunk, Grafana, Datadog, Prometheus, etc.). Deep understanding of cloud infrastructure design, architecture, and migration strategies. Proficiency with AI‐assisted coding workflows, including LLM‐powered development tools, spec‐driven development, and prompt engineering. Preferred Qualifications, Capabilities, and Skills: Master’s degree in a related field and certifications in Cloud ...

support. Desirable Insurance experience (specifically in the Lloyd's market), pricing or underwriting in a regulated environment. Practical experience deploying generative AI or LLM based solutions. Altogether, this role suits a hands-on data scientist who can own the full lifecycle from problem framing to production and translate that work ...

enterprise applications. Strong knowledge of Microsoft Azure, including Azure AI Foundry, Azure AI Services and cloud-native application development. Experience implementing AI solutions including LLM integration, prompt engineering, Retrieval-Augmented Generation (RAG) and vector databases. Experience working with SQL and NoSQL databases, with knowledge of platforms such as SQL Server ...

enterprise applications. Strong knowledge of Microsoft Azure, including Azure AI Foundry, Azure AI Services and cloud-native application development. Experience implementing AI solutions including LLM integration, prompt engineering, Retrieval-Augmented Generation (RAG) and vector databases. Experience working with SQL and NoSQL databases, with knowledge of platforms such as SQL Server ...