301 to 325 of 692 LLM Jobs in the UK

Hybrid) | Outside IR35 Contract We're Looking for AI Builders, Not AI Experimenters Join a major AI programme delivering production-grade Agentic AI and LLM solutions at scale. This role is focused on building intelligent systems that solve real business problems, automate complex workflows, and generate measurable impact across products … environments including AWS, Azure, and GCP What We're Looking For Strong Python engineering skills and experience writing production-grade code Proven experience deploying LLM-powered applications into production Hands-on expertise with LangChain, LangGraph, or similar frameworks Demonstrable experience building Agentic AI systems and AI agents Strong understanding ...

The role: We are seeking an experienced Senior Data Scientist to develop and deploy predictive analytics and machine learning solutions that deliver measurable business value. This role combines hands-on data science, data engineering, and ...

classic NLP techniques (fuzzy matching, named entity recognition) to normalise, cleanse, and match and consumer identity data at scale. Generative AI & Explainability: Utilise LLM APIs for advanced context engineering on unstructured data, while using models such as SHAP to ensure that every model we build is fair, free from bias … similar frameworks to explain model outputs. Natural Language Processing (NLP): Entity Matching: Experience with deduplication, record linkage, or entity resolution. GenAI: Experience with LLM APIs and Context Engineering (constructing prompts, managing context windows, evaluating behaviour). Engineering & Stack: Python: Expert level (Pandas, NumPy, Scikit-Learn). Data Engineering: Strong ...

SENIOR DATA & AI CONSULTANT Remote-first working with monthly team collaboration days in South East Opportunity to shape AI strategy and architecture for a diverse client base Work across Azure, Databricks, Microsoft Fabric, Power BI ...

Compensation: £70,000 – £90,000 Base + Performance Related Bonus +Benefits TL;DR Role: Forward Deployed Engineer (FDE) – Senior AI Location: UK-based, fast-growing AI-for-energy company; flexible remote/hybrid with regular ...

Solution Engineer (GenAI/LLM/Pre-Sales) We’re hiring an AI GTM Solution Engineer to help shape and deliver cutting-edge Generative AI (GenAI) and LLM-powered solutions for enterprise customers. This is a customer-facing pre-sales/solution engineering role where you’ll design, prototype ...

sessions to understand business challenges and define solutions. Design, develop and deploy AI agents, automation workflows and intelligent business solutions. Build solutions using Python, LLM frameworks and AI productivity tools. Collaborate with technical teams on infrastructure-related requirements and deployment activities. Lead user adoption activities including training, feedback collection … years' experience in a role that combines stakeholder engagement, business problem-solving and hands-on technical delivery. Strong experience with Python and LLM agent frameworks such as LangChain, CrewAI, LlamaIndex or similar. Experience designing and implementing AI agents, automation workflows and AI-powered business solutions. Strong understanding of prompt engineering ...

sessions to understand business challenges and define solutions. Design, develop and deploy AI agents, automation workflows and intelligent business solutions. Build solutions using Python, LLM frameworks and AI productivity tools. Collaborate with technical teams on infrastructure-related requirements and deployment activities. Lead user adoption activities including training, feedback collection … years' experience in a role that combines stakeholder engagement, business problem-solving and hands-on technical delivery. Strong experience with Python and LLM agent frameworks such as LangChain, CrewAI, LlamaIndex or similar. Experience designing and implementing AI agents, automation workflows and AI-powered business solutions. Strong understanding of prompt engineering ...

generative AI solutions that power knowledge discovery and decision support. You will work with complex scientific data and apply modern machine learning and LLM-based approaches to build scalable, reliable systems with real user impact. You will also collaborate across teams to turn complex challenges into practical, production-ready solutions. … Responsibilities Design, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge-discovery applications. Develop LLM-powered workflows and retrieval-augmented generation (RAG) systems for search, summarization, question answering, and evidence-grounded insight generation. Build intelligent retrieval, ranking, recommendation, and decision-support capabilities using ...

based data platforms, workflow automation, and emerging AI-assisted technologies, with exposure to projects involving intelligent document processing, operational automation, and practical applications of LLM tooling within the business. This is an excellent opportunity for someone who enjoys combining strong Data Engineering fundamentals with modern automation technologies in a highly … Contribute to AI-assisted and intelligent workflow projects involving structured and unstructured data processing. Work with modern automation tooling and explore practical applications of LLM technologies within operational processes. Collaborate with stakeholders to identify opportunities for process optimisation through automation and data-driven solutions. Data Quality, Reporting & Governance Implement automated ...

automation opportunities Lead discovery and scoping sessions, then build the solution yourself Design and develop AI agents and workflows using Python and LLM frameworks Work with the AI Deployment Engineer to hand off anything requiring deep infrastructure Own post-deployment adoption: training, feedback loops, and iteration Build a library … reusable agent components and playbooks Proactively surface new automation opportunities across the business Key Skills Python & LLM agent frameworks (LangChain, CrewAI, LlamaIndex) Prompt engineering & RAG pipelines Business analysis & stakeholder management Process mapping & workshop facilitation Microsoft 365 & Microsoft Copilot No-code/low-code tooling (Zapier, Make) Desirable Skills Experience ...

automation opportunities Lead discovery and scoping sessions, then build the solution yourself Design and develop AI agents and workflows using Python and LLM frameworks Work with the AI Deployment Engineer to hand off anything requiring deep infrastructure Own post-deployment adoption: training, feedback loops, and iteration Build a library … reusable agent components and playbooks Proactively surface new automation opportunities across the business Key Skills Python & LLM agent frameworks (LangChain, CrewAI, LlamaIndex) Prompt engineering & RAG pipelines Business analysis & stakeholder management Process mapping & workshop facilitation Microsoft 365 & Microsoft Copilot No-code/low-code tooling (Zapier, Make) Desirable Skills Experience ...

Join a fast-growing technology business delivering impactful data and AI solutions across complex defence environments. This is a hands-on leadership role where you’ll shape technical direction, lead delivery teams, and build scalable ...

through development and deployment, to optimisation and continuous improvement. You'll work closely with engineering, product and platform teams to embed Agentic AI and LLM-driven workflows into real-world products, contributing to architectural decisions, engineering standards and best practices. Location: Remote with twice a month travel to Leeds/… workflows (LangGraph/LangChain or similar frameworks). Exposure to Knowledge Graphs (Neo4j/RDF/graph-based enrichment or retrieval). Experience integrating LLM APIs (OpenAI or similar), with prompt design and orchestration. This is an excellent opportunity for a senior developer to build impactful Agentic AI systems, influence ...

solutions. As a Project Manager here, you'll have the opportunity to work on cutting-edge AI initiatives involving RAG, multi-agent systems, modern LLM frameworks, and production AI deployments. You'll play a major role in shaping how projects are delivered and influence both technical direction and client strategy … spoken and written) Experience running workshops, stakeholder meetings, and delivery planning sessions Strong understanding of modern AI concepts including RAG, multi-agent systems, and LLM workflows Ability to translate business requirements into structured technical delivery plans Excellent stakeholder management and communication skills Desirables Hands-on exposure to AI engineering concepts ...

novelty but as a core part of how you plan, write and review code. Design, build and extend agentic features and LLM-backed workflows within the product, including prompt design, tool/function calling and the wider orchestration around them. Solve for the user with frictionless UX and clean … making sensible assumptions and recognising when a single prompt isn’t the right tool. Working understanding of agents, tool/function calling and how LLM-integrated systems fit together. Bonus if you’ve actually built something with agents. Commercial product mindset. Able to prioritise pragmatically between delivery, maintenance and refactoring ...

databases, embeddings, and enterprise data sources Develop agent-based workflows, orchestration layers, and multi-step reasoning systems Work extensively with open-source and commercial LLM ecosystems, including Hugging Face models and tooling Implement prompt engineering, evaluation frameworks, and performance optimisation strategies Architect secure, scalable GenAI solutions … actively code, build, test, and deploy Experience with: RAG architectures and vector databases Hugging Face models, pipelines, and inference tooling Prompt engineering and LLM evaluation techniques Agentic systems and orchestration patterns Cloud-native experience across AWS and/or GCP Comfortable working across multiple business functions (finance, ops, customer ...

As part of our continued investment in AI and emerging technologies, we are looking for an AI Engineer to join our growing Technology team. This is an exciting opportunity for someone early in their career ...

AI Implementation Engineer - Manchester A growing technology-led business is looking to hire an AI Implementation Engineer to help drive practical AI adoption across multiple areas of the organisation. This is a hands-on role ...

The moment Consulting is being agentified. The $300B insights industry is about to be rebuilt by AI agents that don't just report what happened — they tell brands what to do next and execute it. ...

build and scale the high-throughput Python ( Django ) Backend that Collects, Processes & Analyses Large Volumes of Threat Telemetry. By operationalising Complex Data Pipelines & Integrating LLM Workflows, you will directly fuel the Research that enables our enterprise clients to outmanoeuvre Real-World Adversaries. Who Should Apply: The Threat Data Architect … just move data; you weaponize it. You have a deep interest in the Cyber Security Domain and want to leverage Kubernetes, Celery & LLM APIs to Automate and scale complex Threat Intelligence Workflows. Skills & Experience: Backend Engineering ( 3 - 5 Years ) : High proficiency in Python ( Django ), with a proven track record ...

excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI. 🌎 Location and Legalities This full-time LLM Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work … Ultralytics does not provide visa sponsorship. 🚀 What You'll Do As an LLM Engineer at Ultralytics, you will spearhead the development and integration of advanced language model capabilities across our ecosystem. You will work on cutting-edge projects that merge the power of Large Language Models (LLMs) with our state ...

stay small longer than scale headcount ahead of need. What we expect you to have done before: • Shipped agentic systems in production. Multi-step LLM systems with tool use, sub-agent orchestration, persistent memory, and human-in-the-loop steps. You can describe specific failure modes and how you instrumented … rate, instruction-following, latency, and cost across model versions and prompt changes. For us, this is the clearest indicator of someone who has shipped LLM systems in production. • Deep, current LLM engineering practice. System-level prompt design, RAG, structured generation, fine-tuning trade-offs (SFT, DPO, LoRA), and working knowledge ...

Experienced Software Engineer, AI Services | Cambridge | Hybrid | Up to £86,000 plus benefits I am currently working with a Global leader in industrial software who are looking for an Experienced Software Engineer to join their ...

Services Microsoft AI platforms and tooling Copilot Studio Power Platform Enterprise Data Platforms Semantic Kernel LangChain Microsoft Agent Framework Retrieval-Augmented Generation (RAG) LLM-powered applications and intelligent agents MLOps, LLMOps and Cloud Native Architectures What we're Looking For You're likely already operating as an AI Architect, Lead … Strong expertise across both Generative AI and traditional Machine Learning Experience taking AI products from concept to production and ongoing operation Deep understanding of LLM architectures, RAG patterns and agent-based solutions Strong Azure and Microsoft ecosystem knowledge Experience designing secure, scalable and governed AI platforms Consulting experience with ...