251 to 275 of 702 LLM Jobs in the UK

responsibilities: * Design, build and maintain AI-enabled applications using enterprise GenAI services* Develop production-grade microservices and/or full-stack applications* Integrate LLM, RAG, summarisation and extraction services into secure, scalable applications* Own end-to-end delivery, including development, CI/CD, deployment, monitoring and incident resolution* Build … understanding of security, resiliency, scalability, performance and observability* Experience with monitoring tools such as CloudWatch and/or Datadog* Experience with testing strategy and LLM evaluation Nice to have: * React, Next.js and TypeScript experience* Experience delivering AI-enabled user experiences, such as chat-based interfaces or intelligent workflows* Familiarity with ...

engineering, artificial intelligence, machine learning or any related fields. Hands-on experience building or experimenting with Retrieval-Augmented Generation (RAG) systems. Experience working with LLM APIs (e.g., OpenAI, Anthropic, OpenRouter, Gemini). Experience implementing or testing AI-powered applications. Familiarity with vector databases, embeddings, semantic search, and retrieval workflows. Experience … evaluating LLM outputs and diagnosing system failures. Experience supporting technical learners in applied or project-based environments. Solid experience with Large Language Models (LLMs) how they work conceptually, limitations, prompt engineering strategies, context windows and tokenization and trade-offs across different model providers. Solid experience with Retrieval-Augmented Generation ...

Engineer - LLM & Agentic Systems London - Hybrid. Circa £500 – £675 per day (and negotiable DOE) Contract (Outside IR35) Mid-level, Senior & Lead. Agentic AI/Machine Learning. Company: Our client is a globally established B2B information and professional services business, operating across multiple high-value industry sectors. They have established data … expanding their AI capability significantly across the global organisation. This is a role for people who ship. If you've built LLM-powered systems and agentic workflows that are live in production - not demos, not prototypes - and you want to do that at genuine scale, this is worth applying for. ...

like multi-LoRa, LoRA Exchange, TitanML ️ Previous industry exposure to multi-node HPC clusters ️ Experience with Large language models - OpenAI, Mistral, Claude, LLaMA Large language model for GPU usage, scaling, and data movement ️ Package for the for the Senior Machine Learning Engineer, Quantization, PEFT, DeepSpeed, ONNX, TensorRT, PyTorch, multi-LoRa ...

using linguistic knowledge Qualifications • Strong foundation in linguistics (syntax, semantics, phonology, morphology, pragmatics, sociolinguistics, etc.) • Experience in computational linguistics, corpus work, data annotation, or LLM training is helpful • Excellent writing and communication skills • Detail-oriented and strong understanding of language structure. If you are interested in this opportunity, please reply ...

senior AI Security, Security Architecture, Cyber Security Architecture, Cloud Security Architecture, or Application Security role Hands-on experience securing AI, Generative AI, LLM, or agent-based environments in complex organisations Strong understanding of AI technologies and their business application Experience designing AI security controls, governance frameworks, secure workflows, and integration ...

senior AI Security, Security Architecture, Cyber Security Architecture, Cloud Security Architecture, or Application Security role Hands-on experience securing AI, Generative AI, LLM, or agent-based environments in complex organisations Strong understanding of AI technologies and their business application Experience designing AI security controls, governance frameworks, secure workflows, and integration ...

HTML and CSS experience Comfortable working directly within a codebase and collaborating with engineering teams Demonstrable experience designing AI-native products, conversational interfaces or LLM-powered applications Understanding of AI interaction patterns, prompt workflows, agentic systems and user experiences built around large language models Experience working with tools such ...

tech stack includes Playwright for web automation, WebDriverIO, Appium and BrowserStack for mobile automation, TypeScript, Mocha, Cucumber, Jira, and a bespoke in house LLM test harness. There is already strong unit test coverage in place, giving you a solid base to build a robust end to end automation strategy. ...

data modelling, pipelines, and system design Exposure to modern cloud environments and production systems Interest or experience in AI/ML workflows or LLM-integrated systems Previous experience in a start-up or fast-moving environment is a strong plus Why It’s Interesting Early-stage environment with high ownership ...

LLMs, this role is for you. In this role, you’ll: 🔧 Build and ship high-impact software 🧠 Work on AI/LLM-powered automation tools used in production 🏗️ Help shape scalable systems and infrastructure 🌍 Work collectively across teams to push the product forward 💻 Be working end-to-end on both ...

real business context, not just experimenting. You have a genuine curiosity and stay up-to-date with the rapidly evolving GenAI and LLM landscape. You know what modern AI tools can, and importantly, cannot do. ● A Pragmatic Builder: You have a strong bias for action. You prefer building a working ...

come from various paths, including: AI Product Manager or Technical Product Manager Technical Founder or Startup Operator Applied AI Engineer AI Solutions Architect LLM Engineer or Agent Builder Technical Chief of Staff Automation Consultant Systems Designer Technical Program Manager with strong AI expertise Most importantly, you have demonstrated ability ...

live environments Experience working with APIs and integration patterns, including troubleshooting orchestration issues Familiarity with Terraform and working with Infrastructure as Code Exposure to LLM/conversational AI/chatbot configuration Technology Environment AWS Services Amazon Connect AWS Lambda EC2, S3, RDS, DynamoDB CloudWatch API Gateway Integration & Architecture REST APIs ...

live environments Experience working with APIs and integration patterns, including troubleshooting orchestration issues Familiarity with Terraform and working with Infrastructure as Code Exposure to LLM/conversational AI/chatbot configuration Technology Environment AWS Services Amazon Connect AWS Lambda EC2, S3, RDS, DynamoDB CloudWatch API Gateway Integration & Architecture REST APIs ...

building, leading, or scaling a client services or account management team Strong understanding of modern search, including technical SEO, content strategy, digital PR, and LLM visibility Commercially aware with the ability to connect marketing activity to business outcomes Excellent communication skills with confidence, engaging senior stakeholders and decision-makers Comfortably ...

Responsibilities Develop and optimise Python-based AI components, including prompt orchestration, output validation, and evaluation tooling. Work with Generative and Agentic AI patterns, including LLM integration, RAG architectures, prompt-driven workflows, and AI service orchestration. Integrate AI capabilities with enterprise systems, observability tooling, and security frameworks. Design and maintain …/CD pipelines within cloud-native engineering environments. Support benchmarking, evaluation, experimentation, and cost optimisation for LLM workloads. Contribute to scalable RAG implementations and enterprise data access patterns. Help define reusable APIs, engineering standards, and platform documentation. Troubleshoot and optimise distributed systems and cloud-based services. Collaborate across engineering, platform ...

want to build production AI systems used by millions of insurance customers? Have you deployed LLM applications into complex enterprise environments before? Are you ready to help scale a growing GenAI function inside one of the UK’s biggest insurers? A major UK health and life insurance provider is hiring … building production-grade AI applications across underwriting, customer journeys, internal operations, and sales enablement. The role sits within a growing AI team delivering live LLM applications and intelligent automation systems. You’ll work on high-impact products with strong internal visibility, alongside experienced Data Scientists and AI Engineers. Role Summary ...

solving real-world problems with measurable social impact. The Role As a Senior AI Engineer, you’ll design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You’ll work closely with AI, data, MLOps and product teams to translate business and regulatory … role for someone who enjoys owning outcomes, balancing experimentation with real-world delivery. What You’ll Be Doing Designing and developing NLP and LLM-driven solutions for complex, real-world use cases Fine-tuning and adapting foundation models using domain-specific data Building evaluation frameworks, prompt testing tools and data ...

solving real-world problems with measurable social impact. The Role As a Senior AI Engineer, you’ll design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You’ll work closely with AI, data, MLOps and product teams to translate business and regulatory … role for someone who enjoys owning outcomes, balancing experimentation with real-world delivery. What You’ll Be Doing Designing and developing NLP and LLM-driven solutions for complex, real-world use cases Fine-tuning and adapting foundation models using domain-specific data Building evaluation frameworks, prompt testing tools and data ...

Senior MLOps Engineer East Molesey, England, United Kingdom Full-Time The Role: We seek an experienced expert to contribute significantly to an R&D team, bridging machine learning engineering with applied data science. You will ...

team member, you'll contribute to the development and deployment of machine learning and AI solutions, with exposure to observability, security, and efficient LLM utilization. Key Responsibilities Learns and applies LLMs, programming languages, and tools used by the team to improve efficiency and solve business problems. Assists in exploring … team member, you'll contribute to the development and deployment of machine learning and AI solutions, with exposure to observability, security, and efficient LLM utilization. Key Responsibilities Learns and applies LLMs, programming languages, and tools used by the team to improve efficiency and solve business problems. Assists in exploring ...

through to production deployment. Designing and building robust ML pipelines, CI/CD processes and MLOps frameworks. Leading GenAI initiatives such as document processing, LLM fine-tuning, prompt engineering and orchestration using modern frameworks. Organising and processing large, complex datasets to enable AI and ML use cases. Acting … strong data engineering capability. Proven experience building backend systems for ML, including CI/CD pipelines and MLOps. Hands-on experience with GenAI, including LLM fine-tuning, prompt engineering and frameworks such as LangChain or LangGraph. Experience working in cloud-based data and ML environments, ideally with Azure and Databricks. ...

We’re currently partnering with an innovative and fast-growing AI start-up based in London that is looking to hire a Graduate AI Engineer to join their expanding technical team. This is an exciting ...

time, adaptive experiences. The Principal AI Engineer will collaborate closely with product, content, and platform teams to design, implement, and optimise large language model (LLM) architectures, agentic workflows, and AI-driven solutions. Responsibilities include developing scalable, maintainable software, integrating AI capabilities across platform systems, running rigorous experimentation with custom evaluation … metrics, and ensuring model reliability, safety, and observability. The ideal Principal AI Engineer will have deep experience designing and deploying complex LLM-based systems, strong Python and software engineering skills, familiarity with CI/CD and cloud infrastructure, and a proven ability to translate AI research into production-ready solutions. ...