1 to 25 of 119 LLM Jobs in the North of England

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 ...

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 ...

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 ...

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 ...

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 ...

projects. What You'll Be Doing Contributing to the development of our internal AI platform Building AI-powered client solutions: RAG pipelines, agent architectures, LLM integrations, protocol-driven tooling Helping design internal AI tooling to accelerate delivery Supporting our upskilling programme with technical AI knowledge-sharing Keeping across emerging ...

operating across multiple customer environments. Azure Monitor, Application Insights, KQL or OpenTelemetry. Multi-tenant architecture and tenant isolation. Deploying or operating AI and LLM-based services. Relevant Microsoft certifications, such as AZ-104, AZ-305 or AZ-400. We’ll fund relevant certifications you want to work towards. ...

business solutions. You will ideally have: Strong commercial software development experience using TypeScript/JavaScript, Python, C# or a similar modern language. Experience integrating LLM APIs into applications, including prompt engineering, tool/function calling and evaluating AI outputs. A solid understanding of web applications, REST APIs, relational databases ...

projects. What You'll Be Doing Contributing to the development of our internal AI platform Building AI-powered client solutions: RAG pipelines, agent architectures, LLM integrations, protocol-driven tooling Helping design internal AI tooling to accelerate delivery Supporting our upskilling programme with technical AI knowledge-sharing Keeping across emerging ...

last. What You'll Be Doing Contributing to the development of our internal AI platform Building AI-powered client solutions: RAG pipelines, agent architectures, LLM integrations, protocol-driven tooling Helping design internal AI tooling to accelerate delivery Supporting our upskilling programme with technical AI knowledge-sharing Keeping across emerging ...

team. An interest in financial technology and improving access to financial services. Desirable experience Banking, fintech, payments or another regulated sector. Delivering AI or LLM features into live products. Cloud platforms such as AWS, Azure or GCP. Containers and infrastructure as code. Mentoring colleagues or helping establish engineering practices. ...

node classification, link prediction, embeddings, and Graph Neural Networks. Design GraphRAG and knowledge-grounded security assistants that combine graph traversal, vector retrieval, structured evidence, LLM reasoning, citations, and human approval controls. Partner with SOC, threat intelligence, IAM, vulnerability management, cloud security, architecture, data engineering, and product teams to convert operational … Practical use of MITRE ATT&CK, STIX/TAXII, CVE, CWE, CAPEC, NIST frameworks, CIS Controls, and common threat-intelligence vocabularies. GenAI and GraphRAG: LLM-based extraction, retrieval orchestration, agent/tool integration, prompt design, evaluation, grounding, guardrails, explainability, and evidence traceability. MLOps and observability: Experiment tracking, model versioning, deployment ...

through to robust, production-ready applications for enterprise clients. What you'll be doing: Build production applications and APIs using Python and FastAPI Develop LLM, RAG and AI agent solutions Build RAG pipelines covering embeddings, retrieval and generation Work with OpenAI, Anthropic, Mistral, Llama and similar LLMs Use LangChain, LangGraph … databases Experience with CI/CD using GitHub, GitLab or Jenkins Agile engineering experience Experience with AI agents, tool calling, embeddings, prompt engineering or LLM observability is beneficial React/TypeScript and Terraform/IaC experience is beneficial Experience taking GenAI POCs into production is highly beneficial Why this role ...

We're supporting a leading technology consultancy that is expanding its AI practice and is looking for a Senior AI Engineering Consultant to help deliver innovative AI-powered solutions for enterprise clients. This is an ...

products Experience integrating LLMs or AI services into applications , rather than solely using AI as a development tool Understanding of areas such as LLM APIs, orchestration, agents, RAG, guardrails and observability AWS experience, ideally including exposure to Amazon Bedrock JavaScript/TypeScript and modern web engineering experience Experience with Node.js ...

products Experience integrating LLMs or AI services into applications , rather than solely using AI as a development tool Understanding of areas such as LLM APIs, orchestration, agents, RAG, guardrails and observability AWS experience, ideally including exposure to Amazon Bedrock JavaScript/TypeScript and modern web engineering experience Experience with Node.js ...

products Experience integrating LLMs or AI services into applications , rather than solely using AI as a development tool Understanding of areas such as LLM APIs, orchestration, agents, RAG, guardrails and observability AWS experience, ideally including exposure to Amazon Bedrock JavaScript/TypeScript and modern web engineering experience Experience with Node.js ...

without needing a meeting. Data-literate: comfortable with product analytics, experimentation and simple commercial models to support decisions. Familiarity with AI/ML or LLM-based products and what it takes to take them from prototype to production. Experience of media workflows and associated multimedia content localization will ...

Code across Azure and OCI (Terraform, Bicep) Proven design and delivery of CI/CD and automation solutions Experience building and operating AI/LLM-assisted tooling or agents Strong grasp of security, identity (Microsoft Entra/IAM) and secrets management Understanding of resilience, DR and recovery objectives (RTO/ ...