1 to 25 of 280 Remote/Hybrid LLM Jobs in the UK

passion for building scalable, production-ready solutions. Key Responsibilities Design and build applied AI and machine learning solutions for client projects. Develop and deploy LLM-powered applications, RAG solutions, AI agents and workflow automation tools. Build and maintain scalable data pipelines, feature pipelines and model training workflows. Productionise ...

intelligent search and analysis. Ship production-grade AI features. Write clean, well-tested code (Python and/or TypeScript) to deliver production applications using LLM APIs, orchestration frameworks (e.g., LangChain, LlamaIndex), and CI/CD pipelines — from prototype through deployment and monitoring. Design evaluation and quality framework. Build automated evaluation ...

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 ...

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 ...

tool-calling frameworks (e.g. LangGraph or equivalent), including familiarity with the Model Context Protocol (MCP) • Evaluation engineering (golden datasets, regression gates in CI, LLM-judge calibration) • Guardrail and AI-observability tooling (e.g. NeMo Guardrails, OpenTelemetry GenAI conventions, LangSmith, Braintrust) MLOps & LLMOps • Hands-on with MLOps platforms (Azure ML, Databricks, SageMaker ...

Cloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCP AI Technologies – GenAI frameworks, Agentic AI, vector databases, semantic search, knowledge retrieval and LLM application development Data & Visualisation – Power BI, Tableau, Looker and other business intelligence tools Consulting, Communication & Leadership: Ability to work effectively with both business and technical ...

into technical designs, prototypes, or working solutions Build or advise on ETL/ELT pipelines preparing diverse datasets for AI consumption Implement or guide LLM-based solutions, including RAG systems and automation scripts Develop or lead the design of Proof of Concepts to validate AI ideas Act as a technical ...

Cost Controls. Software Engineering: Clean Code (SOLID, DRY), DDD, modular architecture, TDD, code quality tools. · AI Engineering (Desirable): RAG pipelines, agentic workflows, MCP, LLM integration (OpenAI, Gemini or other models from Huggingface), LangSmith, TruLens. Agentic Frameworks (Desirable): LangChain, CrewAI, Autogen, OpenAI Agents, Google ADK. WHAT YOU'LL LOVE ABOUT WORKING ...

learning solutions. Work closely with stakeholders to understand business challenges and translate them into scalable data products. Develop and improve AI-powered solutions, including LLM and automation use cases. Drive best practices in model development, testing, monitoring and governance. Mentor colleagues and contribute to the wider technical direction ...

with the ability to engage senior stakeholders and lead technical discussions. Desirable Experience Experience with PyTorch, TensorFlow or other machine learning frameworks. Knowledge of LLM fine-tuning, model distillation and optimisation techniques. Experience with vector databases, semantic search, knowledge graphs or related technologies. Familiarity with AI governance frameworks, security standards ...

role in building and scaling asynchronous task pipelines, implementing MCP (Model Context Protocol) servers and tools around complex APIs and internal systems, and integrating LLM-based orchestration frameworks. On the front end, you'll build rich, data-dense interfaces using React and AG Grid. You will also work directly with ...

enterprise automation. What You'll Be Doing Designing and developing agentic AI systems capable of autonomous decision-making and task execution. Building sophisticated LLM-powered applications, orchestration frameworks, memory architectures, and tool-use capabilities. Developing custom AI workflows using large language models, retrieval systems, and multi-agent architectures. Collaborating closely ...

cross-functional teams to translate business requirements into technical AI solutions. Desirable Skills: Experience with LangChain, Semantic Kernel, Llama and related frameworks for building LLM-based applications. Familiarity with Model Context Protocol (MCP) and emerging standards for AI orchestration and context management. Experience designing and implementing RAG architectures in enterprise ...

cross-functional teams to translate business requirements into technical AI solutions. Desirable Skills: Experience with LangChain, Semantic Kernel, Llama and related frameworks for building LLM-based applications. Familiarity with Model Context Protocol (MCP) and emerging standards for AI orchestration and context management. Experience designing and implementing RAG architectures in enterprise ...

/ML systems in production Strong hands-on experience with semantic search, vector databases or embeddings, and building RAG pipelines Experience with LLM orchestration and agentic frameworks (e.g. LangChain, LlamaIndex or multi-agent patterns) Prompt engineering skills, plus experience with systematic evaluation and guardrail tooling, such as hallucination detection ...

handling large data volumes Develop and integrate APIs, microservices, and distributed systems Deploy and manage applications within Microsoft Azure environments Integrate applications with LLM-based services, Agentic AI workflows, and AI-driven platforms Work with containerised solutions using Docker and cloud-native deployment approaches Support and enhance CI/ ...

production, including state management, task execution, model routing, retries and observability Support AI Infrastructure: Work closely with our AI engineers supporting production NLP, LLM and quantitative model workloads, including our in-house GPU infrastructure. Automate Infrastructure: Build and manage Infrastructure-as-Code using Pulumi and automate deployments through GitHub Actions. ...

Good understanding of software engineering principles, including object-oriented development, testing practices, version control, code quality management, CI/CD deployment processes, containerisation, and LLM-assisted coding. Experience working with data processing and database technologies, including relational databases, query optimisation, performance tuning, monitoring, backup and recovery, and an understanding ...

educational qualification has been provided for this position. What you'll do Design, develop and deploy AI and machine learning solutions, including generative AI, LLM-based applications and intelligent automation Build and integrate AI capabilities into existing platforms, products and workflows Develop data pipelines and prepare data for model training ...

stakeholder management and communication skills Experience owning technical roadmaps and software delivery lifecycles Ability to operate across engineering, product, and business functions Desirable Experience LLM applications and document-processing platforms Retrieval-Augmented Generation (RAG) React and Next.js Snowflake Airflow Data engineering and ETL pipelines Kubernetes and cloud-native infrastructure Supply ...

insurance domains - not just one functional area Why Apply? Salary up to £100,000 Work at the cutting edge of enterprise AI, agentic systems, LLM deployment, intelligent automation in production Direct business impact with enterprise clients, your work shapes real outcomes, not just roadmaps Continuous learning culture with dedicated learning ...

feedback capture, confidence-based escalation, and full audit trails suitable for good practice regulations (GxP) and regulatory use. Build agent and large language model (LLM) evaluation - curated golden datasets, automated evals (including LLM-as-judge calibrated against expert review), regression testing and production monitoring for retrieval, generation and agent behaviour … Hands-on experience with GenAI patterns: retrieval-augmented generation (RAG), agents, document authoring and generation, human-in-the-loop review design, and agent/LLM evaluation (eval datasets, automated and expert-in-the-loop scoring, regression testing). Experience with API integration, retrieval layers, knowledge graphs, ontologies, or semantic search. ...

scaling enterprise-grade AI platforms. This is an exciting opportunity to work on cutting-edge Artificial Intelligence, Machine Learning and Large Language Model (LLM) initiatives, helping to transform innovative AI research into secure, scalable production systems. The role is open to candidates across the UK , with fully remote working available ...

services into production environments. Collaborate with architects, product teams, and business stakeholders to deliver AI driven solutions. Optimise performance, scalability, cost, and latency of LLM based applications. Experience Required Proven experience designing and delivering production grade AI and Generative AI solutions. Strong expertise in Azure OpenAI, Azure AI Foundry, Azure ...

services into production environments. Collaborate with architects, product teams, and business stakeholders to deliver AI driven solutions. Optimise performance, scalability, cost, and latency of LLM based applications. Experience Required Proven experience designing and delivering production grade AI and Generative AI solutions. Strong expertise in Azure OpenAI, Azure AI Foundry, Azure ...