1 to 25 of 178 Remote/Hybrid 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 ...

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 ...

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. ...

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 ...

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 ...

modelling, and decisioning frameworks Driving innovation through the application of open banking data and advanced categorisation techniques Building and improving AI-powered solutions, including LLM-based agents and automated workflows Collaborating with Credit, Fraud, Engineering, and Product teams to deliver high-impact data science initiatives Supporting model deployment and ensuring ...

Cloud Platform (GCP) . Develop and manage Infrastructure as Code (IaC) using Terraform . Support the development and deployment of innovative applications, including AI, LLM and agentic AI solutions. Build and improve CI/CD pipelines, deployment automation and engineering workflows. Work closely with innovation teams to move prototypes ...

collaboration etc Experience designing, testing and deploying production-scale GenAI (not just proof of concepts) Then a mixture of the following on top: GenAI LLM APIs Experience designing, testing and deploying AI/ML solutions Chat Bots/Agents FastAPI Microsoft Agent Framework LangChain Vector database ML Engineering Job Offer ...

collaboration etc Experience designing, testing and deploying production-scale GenAI (not just proof of concepts) Then a mixture of the following on top: GenAI LLM APIs Experience designing, testing and deploying AI/ML solutions Chat Bots/Agents FastAPI Microsoft Agent Framework LangChain Vector database ML Engineering Job Offer ...

reduce manual processes and improve operational efficiency through automation. Design, develop and enhance CI/CD pipelines. Explore and implement AI-powered automation, including LLM-assisted tooling and AI agents. Develop reusable automation frameworks, engineering standards and best practices. Collaborate with Cloud Operations, DevOps and infrastructure teams to introduce more ...

implementation Develop and orchestrate agentic AI workflows, integrating solutions with existing enterprise systems Support the development of shared AI platforms, model routing and LLM evaluation frameworks Translate business requirements into scalable, production ready AI applications Analyse existing business processes, identify inefficiencies and recommend AI driven improvements Maintain and enhance existing ...

assisted development tools such as Cursor, Claude Code or similar. Desirable experience includes: Java and Spring Boot. Event-driven architectures and workflow orchestration. LLM integrations or AI-powered products. Experience within regulated or data-intensive industries. What They Offer Competitive salary, bonus and benefits package. The opportunity to build cutting ...

Experience mentoring others and the communication skills to explain complex trade-offs to non-technical stakeholders. Bonus points: differential privacy or secure computation experience, LLM/agentic AI/frontier AI evaluation work, published research, or experience in regulated industries (insurance, financial services, public sector). Why join us Real ...

Java, with a willingness to develop expertise and contribute to Java-based pipelines as needed Experience in using AI-based methods, such as NLP, LLM for efficient data processing Contract length: 13-month fixed-term maternity cover. We are ideally looking for a January 2027 start to allow ...

applications and automation solutions, working closely with technical and business teams. Key Responsibilities Develop and maintain AI and automation solutions. Build and support LLM and generative AI applications. Create integrations, workflows and AI-driven processes. Optimise prompts, models and system performance. Deploy and maintain cloud-based services. Troubleshoot issues ...

Company description We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and ...