1 to 25 of 490 LLM Jobs in the UK excluding London

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 ...

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 ...

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 ...

will be responsible for guiding a team of AI Engineers in the design, development, deployment, and operation of scalable AI and Large Language Model (LLM) powered applications. Working closely with Data Scientists, Product teams, and business stakeholders, you will ensure AI products are secure, reliable, and built to enterprise standards. … performing technical teams, creating a culture of collaboration, innovation, continuous improvement, and professional growth. Hands-on experience designing, building, and deploying Large Language Model (LLM) powered solutions and generative AI applications at enterprise scale. Strong Python development skills, with experience using machine learning frameworks such as PyTorch, TensorFlow, and Scikit ...

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 ...

LLMOps practices: prompt and model versioning, automated evaluation, deployment pipelines and observability for AI workloads in production. Your Skills and Experience Production experience building LLM-based applications on Azure that went live and that you then supported, rather than proofs of concept that stopped at demo. Strong production coding ...

LLMOps practices: prompt and model versioning, automated evaluation, deployment pipelines and observability for AI workloads in production. Your Skills and Experience Production experience building LLM-based applications on Azure that went live and that you then supported, rather than proofs of concept that stopped at demo. Strong production coding ...

following: Data modelling experience including dimensional design, medallion architecture or source-to-target mapping Hands-on experience building pipelines that support agentic workflows or LLM-based applications Familiarity with data product principles: discoverability, reusability, quality contracts and SLAs Hands-on experience with Decision Intelligence Platforms (e.g. Palantir, Quantexa) Infrastructure ...

following: Data modelling experience including dimensional design, medallion architecture or source-to-target mapping Hands-on experience building pipelines that support agentic workflows or LLM-based applications Familiarity with data product principles: discoverability, reusability, quality contracts and SLAs Hands-on experience with Decision Intelligence Platforms (e.g. Palantir, Quantexa) Infrastructure ...

will be responsible for guiding a team of AI Engineers in the design, development, deployment, and operation of scalable AI and Large Language Model (LLM) powered applications. Working closely with Data Scientists, Product teams, and business stakeholders, you will ensure AI products are secure, reliable, and built to enterprise standards. … technical teams, creating a culture of collaboration, innovation, continuous improvement, and professional growth. \n Hands-on experience designing, building, and deploying Large Language Model (LLM) powered solutions and generative AI applications at enterprise scale. \n Strong Python development skills, with experience using machine learning frameworks such as PyTorch, TensorFlow ...

will be responsible for guiding a team of AI Engineers in the design, development, deployment, and operation of scalable AI and Large Language Model (LLM) powered applications. Working closely with Data Scientists, Product teams, and business stakeholders, you will ensure AI products are secure, reliable, and built to enterprise standards. … technical teams, creating a culture of collaboration, innovation, continuous improvement, and professional growth. \n Hands-on experience designing, building, and deploying Large Language Model (LLM) powered solutions and generative AI applications at enterprise scale. \n Strong Python development skills, with experience using machine learning frameworks such as PyTorch, TensorFlow ...

within the team, establishing the patterns other engineers follow and leaving clear documentation behind What We're Looking For Robust software engineering, including developing LLM-powered or agentic systems, and a track record operating at senior/lead level Strong engineering fundamentals: code that's clean, tested and built ...

within the team, establishing the patterns other engineers follow and leaving clear documentation behind What We're Looking For Robust software engineering, including developing LLM-powered or agentic systems, and a track record operating at senior/lead level Strong engineering fundamentals: code that's clean, tested and built ...

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 ...

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. ...

Python. Experience using AI coding assistants (GitHub Copilot, Claude Code etc) to complete software engineering tasks. Solid understanding of building AI solutions using an LLM backed architecture. Strong understanding of API design, microservices, and event-driven architectures. Experience building and operating cloud-native services on AWS, including Bedrock. Strong DevOps ...

Python development skills. Experience integrating and consuming REST APIs. Hands-on experience with Docker and Kubernetes. Knowledge of vector databases, embeddings, RAG architectures, and LLM orchestration frameworks. Experience with cloud technologies, networking, identity and access management, and security controls. Experience integrating AI solutions with Microsoft 365 technologies, collaboration platforms ...

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 ...

prompt design, guardrails and responsible AI Key experience: 3+ years of software or machine learning engineering experience 2+ years building and deploying GenAI/LLM applications in production Strong Python development skills Hands-on experience with LangGraph, LangChain, LlamaIndex, CrewAI or similar Experience with AWS, particularly Bedrock, Lambda ...