1 to 25 of 37 Permanent LLM Jobs in West Yorkshire

understanding of the distinction between Generative AI and Agentic AI, including their foundations, capabilities, and appropriate use cases. Strong understanding of AI, ML and LLM concepts, including prompt engineering, prompt grounding, iterative loop techniques, context windows, embeddings, RAG, agentic workflows. Proven ability to integrate AI capabilities both into low-code ...

know yet). You'll cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing It's all live lectures, tutor-led group work and real-world challenges from ...

including Azure AI Foundry. This isnt an AI Engineering position and you dont need deep Machine Learning experience. Practical use of Copilot or another LLM as part of your engineering work would be useful, whether thats development, debugging, code validation or documentation. Youll have the opportunity to develop that experience ...

/ELT experience. Experience working with complex, cloud-native data environments. BigQuery experience. Kafka/event-driven architectures. Neo4j/Knowledge Graphs. AI/LLM and RAG solutions. Enterprise search and indexing. Data governance and regulatory environments. The opportunity This is a greenfield, high-profile transformation programme with significant strategic ...

fixed inputs but as the starting point for understanding the problem What Will Help You Stand Out Hands-on experience with agentic frameworks, LLM APIs, or workflow orchestration tools, whether through coursework, personal projects, or early professional work Experience with AWS or equivalent cloud environments, even at a basic level ...

enterprise data and AI transformation programme. You will design and build scalable data pipelines in GCP, develop cloud-native solutions, and support AI/LLM and RAG initiatives across a large-scale environment. You will work on event-driven architectures with Kafka, write robust Python and SQL, and help ensure ...

enabled solutions in a change environment. Knowledge of emerging AI security frameworks and standards, including NIST AI RMF, the OWASP Top 10 for LLM Applications, MITRE ATLAS and ISO 42001. The judgement to balance innovation with security, regulatory compliance and operational resilience. Clear communication skills and confidence explaining technical issues ...

enabled solutions in a change environment. Knowledge of emerging AI security frameworks and standards, including NIST AI RMF, the OWASP Top 10 for LLM Applications, MITRE ATLAS and ISO 42001. The judgement to balance innovation with security, regulatory compliance and operational resilience. Clear communication skills and confidence explaining technical issues ...

technical challenges Apply clean code, automated testing, CI/CD, observability and other modern engineering principles Build and integrate AI-enabled features, including LLM-powered services, RAG and agent-based workflows where appropriate Use AI-assisted development tools such as GitHub Copilot, Claude Code, Cursor or similar to improve engineering ...

data Writing clean, maintainable and well-tested code Working with cloud platforms, CI/CD and modern development practices Integrating AI capabilities such as LLM APIs, RAG and agent-based solutions Using AI coding tools throughout the development lifecycle Working directly with clients and within enterprise environments Contributing to technical ...

Yadimen Consulting Limited is seeking a skilled AI Engineer to design, develop, and maintain Copilot agents, plugins, and LLM workflows. You will build scalable components, integrate with enterprise systems, and implement secure AI practices within a modern cloud-native stack. The role focuses on RAG architectures, vector databases, embeddings ...

following skill, but don’t worry if you don’t tick the box, we’ll help you develop along the way. AI and LLM experience - you’re comfortable using GenAI tools such as Copilot, Claude or ChatGPT. Knowing we’re right for you Embracing uniqueness, the culture at Grant Thornton ...

across digital channels Skills Required: In-depth knowledge of organic search, including technical optimisation, content strategy, off-site and PR Understanding of AI and LLM search optimisation, including how large language models source and cite content, entity-based SEO, structured data, and strategies to improve brand visibility in generative ...

following skill, but don’t worry if you don’t tick the box, we’ll help you develop along the wayAI and LLM experience - you’re comfortable using GenAI tools such as Copilot, Claude or ChatGPT #J-18808-Ljbffr ...

Title Machine Learning Engineer Purpose To lead the design and productionisation of Generative AI and LLM-driven applications, utilising GCP and Google’s AI ecosystem. The ML Engineer will architect scalable systems, mentor junior engineers and drive the technical roadmap for integrating Large Language Models into core products, demonstrating innovation … deep learning models and pipelines. 2 Collaborate with cross-functional teams to translate complex business problems into ML-driven solutions. 3 Architect scalable LLM Ops pipelines on GCP (Vertex AI) for model fine-tuning, vector retrieval and low-latency inference. 4 Implement robust LLM evaluation frameworks to monitor output quality ...

customer-focused content. Partner with Sales, Marketing and Technical SMEs to ensure content is accurate, relevant and commercially impactful. Drive SEO and AI/LLM content optimisation using performance insights and best practice. Establish content standards, governance and best practice across the wider team. Collaborate with external agencies and partners ...

platform and turn successful approaches into reusable tools and accelerators. What you'll be working on: Building AI solutions using RAG, AI agents, LLM integrations and MCP Taking solutions from prototype through to production, including security, scalability, guardrails and observability Building AI evaluation and testing frameworks to measure accuracy … TypeScript or similar, with experience across multiple modern languages Full-stack capability, including back-end and data engineering Proven experience building and shipping production LLM/AI applications Hands-on experience with RAG, AI agents, prompt engineering, tool orchestration and MCP Experience with AI evaluation, testing, datasets and guardrails Client ...

We recognise our people are the best thing about Red Badger and that a truly diverse workplace where people are free to be themselves is essential for great culture and great outcomes. If you like ...

step workflows using loops, branching, routing, tool use, state management, retries and human-in-the-loop controls. Evaluation: Using regression sweeps, canary testing and LLM-as-judge scoring to determine what is ready to ship. ML infrastructure: Building versioned training pipelines, model registries, scheduled jobs and deployments using Azure ML. … experience designing, building and optimising agentic systems, particularly graph-based and iterative workflows involving loops, branching, routing, tool use and state management. Experience evaluating LLM applications using approaches such as gold datasets, regression testing, LLM-as-judge scoring and canary testing. Experience with cloud ML platforms - ideally Azure ML, Functions ...

About the role At Parallax, we celebrate the curious. The people who love getting stuck into tough challenges, understanding what really matters and using technology to create meaningful outcomes. We’re looking for a Senior ...

Protect Group specialises in enhancing customer experience and generating additional revenue for businesses through innovative technology solutions. Founded in 2016, we’ve rapidly grown to serve over 400 business partners across 75+ countries, with a ...

standards, reusable patterns and guardrails for building reliable, secure and supportable automations. The role increasingly draws AI into workflows as a step, such as LLM calls to classify, extract or summarise, working in close partnership with the AI Engineering team, which owns agents, LLM-powered applications, prompt engineering, evaluations … designed, tested, deployed, monitored and supported, including error handling, version control, environment separation and observability. Embed AI as steps within workflows, such as LLM calls to classify, extract or summarise, consuming capabilities and patterns provided by the AI Engineering team, and preferring deterministic automation where it is safer, simpler ...

Leeds, United Kingdom | Posted on 02/25/2026 Responsibilities Design, develop, and maintain Copilot agents, plugins, connectors, and LLM workflows in Copilot Studio Build scalable components: prompt orchestration, retrieval layers, Power Automate flows, model interfaces, validation pipelines Develop and optimise RAG components - embeddings, vector queries, metadata strategies … Microsoft Graph, APIs, and Power Platform connectors Implement secure-by-design and responsible AI practices: guardrails, controls, monitoring, auditability Build observability: logging, telemetry, and LLM monitoring for quality and incident triage Create reusable assets - prompt libraries, agent templates, connectors, test harnesses, and documentation Conduct rapid prototyping to validate feasibility, model ...

Job title: Principal Consultant - AI Security & Governance (SME) Location: Leeds/Hybrid Salary: Competative market rate If you know what it takes to navigate AI security, risk and governance within complex organisations, this is an ...

Designing, building and developing AI Agents and agentic AI solutions Building and enhancing Retrieval-Augmented Generation (RAG) solutions Writing, developing and optimising prompts for LLM applications Developing and testing APIs to integrate AI services and enterprise systems Building AI engineering solutions using Python and SQL Testing and evaluating AI/… LLM outputs for quality, accuracy and reliability Integrating AI solutions with enterprise data, platforms and applications Developing scalable, production-ready AI solutions within a complex enterprise environment WHAT WE NEED FROM YOU Strong experience building AI Agents/agentic AI solutions Strong commercial RAG and LLM experience Excellent prompt writing ...