1 to 25 of 83 LLM Jobs in 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 ...

scripts to support AI-driven workflows and enterprise system integrations. Build, support, and scale AI-enhanced automation pipelines and internal developer tooling. Securely integrate LLM capabilities into existing platforms, CI/CD pipelines, and enterprise systems. Establish prompt engineering standards, governance patterns, and evaluation metrics for AI output quality ...

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 ...

image updates, VDA provisioning (MCS/PVS), profile management, and zero-day vulnerability mitigations. AI-Driven Infrastructure Automation Implement and customize Microsoft Copilot and LLM assisted workflows to automate routine Citrix & VDI operational tasks, ticket triage, and incident resolution. Build prompt libraries, automated diagnostics, and agentic workflows to streamline system ...

enabled workflows Build and support AI-driven automation pipelines and developer tooling Write, review, and maintain high-quality, secure, and scalable code Integrate LLM capabilities into existing platforms, CI/CD pipelines, and enterprise systems Define prompt engineering standards, patterns, and governance Evaluate AI output quality, performance, security, and cost ...

/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 ...

controller frameworks Observability experience. Use of metrics, logs, and traces using tools such as Grafana, Prometheus and Sentry Experience with AI agent development or LLM integration Agile/Scrum working practices ISP or managed connectivity background Automated configuration management (Ansible, Puppet, or similar) We are committed to fostering an inclusive ...

streaming, batch, and self-service access channels. Create consistent interfaces that support human users, analytics tools, applications, AI agents, MCP-compatible clients, and LLM-powered experiences. Partner with Product, Technology, and Customer teams to ensure new initiatives align with platform architecture and long-term strategic goals. Identifyopportunities toconsolidatecapabilities, reduce duplication ...

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 ...

architecture strategies, roadmaps and target state architectures within large, complex organisations. Deep expertise across AI and GenAI technologies, including agentic AI, multi-agent systems, LLM platforms, RAG architectures, semantic search and enterprise AI services. Strong experience designing secure, scalable AI solutions on AWS and Azure, alongside modern cloud-native ...

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 ...

pipelines and DevOps best practices. Collaborate with architects, product teams, and engineers to deliver high-quality solutions. Contribute to AI-enabled application development, including LLM and RAG integrations where applicable. Required Skills 10+ years of software engineering experience. Strong hands-on expertise in Java and/or Python. Kubernetes, Docker … Microservices, and REST APIs. CI/CD, DevOps, and Agile delivery practices. Preferred Skills Experience with LLM integration, RAG, AI orchestration, or Agentic AI frameworks. Exposure to AI platforms such as Azure OpenAI, OpenAI, LangChain, LangGraph, or Semantic Kernel. Candidate Profile Strong engineering and problem-solving skills. Product engineering mindset ...

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 ...

/B tests or betas, to validate product decisions.Experience with browser DOM inspection or automation.Familiarity with Model Context Protocol or building tools for LLM agents.Familiarity with real-time data pipelines or streaming architectures.Accessibility experience.Passion for continuous learning and sharing insights with the team.About PendoPendo was founded in 2013 by former ...

tests or betas, to validate product decisions. Experience with browser DOM inspection or automation. Familiarity with Model Context Protocol or building tools for LLM agents. Familiarity with real-time data pipelines or streaming architectures. Accessibility experience. Passion for continuous learning and sharing insights with the team. About PendoPendo was founded ...

tests or betas, to validate product decisions. Experience with browser DOM inspection or automation. Familiarity with Model Context Protocol or building tools for LLM agents. Familiarity with real-time data pipelines or streaming architectures. Accessibility experience. Passion for continuous learning and sharing insights with the team. About Pendo Pendo ...

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 ...

Responsibilities Lead the implementation of AI-enabled applications and platform capabilities. Establish reusable patterns, frameworks, and best practices for AI engineering. Design and oversee LLM, RAG, and Agentic AI integrations within enterprise environments. Collaborate with architects and engineering teams to ensure scalable, secure, and maintainable solutions. Define standards … cloud‐native applications on Azure, AWS, or GCP. Strong knowledge of Kubernetes, Microservices, APIs, Event‐Driven Architecture, and DevOps practices. Hands‐on experience with LLM integration, RAG architectures, AI orchestration frameworks, and Agentic AI solutions. Experience with AI frameworks and tools such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI ...

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 ...

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 ...

Comply is seeking Senior AI Data Engineers to operationalize its semantic layer, turning ontological models into working knowledge graphs, vector search infrastructure, and LLM-powered pipelines. You will own semantic layer components, collaborate with application and data engineering teams, and ensure AI-ready data products are reliable and scalable. ...