1 to 25 of 212 AI Agents Jobs in the North of England

Language Models and Retrieval-Augmented Generation (RAG). WHAT YOU'LL BE DOING 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 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 and prompt engineering skills Experience developing, integrating and testing APIs Strong Python ...

Language Models and Retrieval-Augmented Generation (RAG). WHAT YOU'LL BE DOING 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 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 and prompt engineering skills Experience developing, integrating and testing APIs Strong Python ...

Chief Risk Officers, and Heads of Technology. Lead executive discussions on Responsible AI, AI Governance, AI Risk, Agentic AI, and emerging regulatory requirements. Facilitate board, executive committee, and governance forums to define AI strategy and governance direction. Translate complex regulatory … implementing AI Governance and Responsible AI frameworks. Strong understanding of AI, Generative AI, and emerging Agentic AI concepts. Experience working with risk, compliance, legal, audit, and regulator-facing stakeholders. Experience leading multi-disciplinary teams and complex transformation engagements. Excellent executive ...

intelligent automation across Waystone while upholding compliance, security, and architectural integrity. The role requires strong hands‐on engineering skills, practical understanding of agentic AI patterns, and the ability to guide teams on effective and responsible AI usage. ESSENTIAL DUTIES AND RESPONSIBILITIES AI Enablement … individuals with disabilities to perform the essential functions. Knowledge, Skills and Abilities: Deep 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 ...

passion for delivering scalable, production-ready solutions. Key Responsibilities Design and develop AI-powered applications using GenAI , LLMs , NLP , and Agentic AI technologies. Build intelligent RAG (Retrieval-Augmented Generation) solutions leveraging Embeddings and Vector Databases . Develop and orchestrate AI Agents and Multi … Generative AI (GenAI) , Large Language Models (LLMs) , Natural Language Processing (NLP) Prompt Engineering , Context Engineering AI Agents , Agentic AI , Multi-Agent Systems LangChain , LangGraph , Model Context Protocol (MCP) RAG , Embeddings , Vector Databases Python , SQL , REST APIs Git , CI/CD Cloud Platforms (Azure ...

Generative AI solutions. Strong hands-on experience with RAG (Retrieval-Augmented Generation). Experience developing AI Agents or Agentic AI applications. Strong Python development skills. Strong SQL skills. Experience integrating applications using REST APIs. Proven prompt engineering experience. Experience deploying AI … Work on high-profile AI transformation programmes. Design and build enterprise-scale AI solutions. Exposure to the latest GenAI, Agentic AI and LLM technologies. Opportunity to influence architecture, engineering standards, and AI strategy. Flexible location options across the UK. ...

AI Engineer Agentic AI & Automation - Manchester Location: Manchester/Hybrid Our client is embarking on an exciting technology transformation, building a new in-house technology platform for a substantial property portfolio, with Artificial Intelligence and automation at the heart of the solution. They already have … capabilities across software engineering, automation, CRM, property management systems and data. They are now looking for an AI Engineer with genuine Agentic AI experience to bring specialist expertise into the team and help shape the next generation of their technology. This is an opportunity to join ...

covering resource structure, environments, deployment patterns, observability and operational management. Work closely with AI Engineers to design and deliver AI Agents and agentic workflows that meet business and technical requirements. Governance, Risk & Compliance Establish enterprise governance frameworks for AI workloads across Azure. Define … trust principles to AI workloads, APIs, data sources and platform services. Define identity, authentication and authorisation patterns for AI applications, agents and platform users. Ensure AI services are integrated into existing enterprise security and networking architectures. Scale, Resilience & Performance Design resilient, highly available ...

Machine Learning solutions using Azure and modern AI technologies Building production-ready LLM applications, RAG pipelines and AI agents Working closely with Data Engineering teams to prepare and integrate structured and unstructured data Collaborating with Infrastructure teams to deploy secure, scalable AI solutions … solutions Strong knowledge of AI, Machine Learning and Large Language Models (LLMs) Experience developing RAG solutions and AI agents Excellent Python skills alongside modern AI/ML frameworks and SDKs Experience with Azure AI services or another enterprise AI ...

products and automations. The role combines software engineering, AI engineering, automation and solution architecture. You will design and build AI agents, orchestration workflows and intelligent automation solutions whilst ensuring they are secure, scalable, maintainable and aligned with business objectives. While supported by technical leadership … adoption. Delivering Production Solutions Progress successful proofs of concept into robust, production-grade AI solutions. Design and build AI agents, copilots and automation workflows using appropriate low-code and pro-code platforms. Develop and maintain Python-based services, integrations and orchestration components. Build and support ...

AI solutions across an Enterprise Knowledge Base (EKB). This is a hands-on role focused on GenAI, LLMs, RAG and Agentic AI, taking solutions from prototype through to production. You'll work across AI, data and engineering teams to build intelligent retrieval, knowledge … discovery and automation capabilities. Key Responsibilities Build production-grade GenAI, LLM, RAG and Agentic AI solutions Develop AI Agents and Multi-Agent Systems Work with LangChain, LangGraph and MCP Build intelligent retrieval using Embeddings, Vector Databases and Semantic Search Apply Prompt & Context Engineering Integrate AI ...

expertise spans customer insight, data strategy and platforms, advanced analytics, performance optimisation, and AI (including generative AI and agentic AI) transformation. You will join the Song AI & Data UK practice, within the AI & Modelling Craft: a community of data scientists … delivery of customer-focused data and AI solutions, spanning machine learning products, generative AI solutions and agentic AI systems. You will define the target architecture, provide technical leadership to the teams that build it, and see solutions through to live service and continuous improvement. ...

Design secure, scalable and reusable AI solutions and implementation patterns. Identify opportunities to apply Generative AI, LLMs, AI agents, RAG and automation. Develop new AI-enabled products and services, taking solutions from pilot through to production. Create reusable architectures, frameworks, documentation … Skills & Experience The successful candidate will have strong experience across: AI & Generative AI: LLMs, foundation models, AI assistants, agents, RAG, enterprise search and workflow automation. Solution & Platform Architecture: Designing scalable, resilient and supportable enterprise solutions. Data & Integration: Data architecture, governance, structured/unstructured ...

engineered AI solutions. Projects can span AI safety and security, edge AI, explainability, robustness in contested environments, agentic AI, LLMs/RAG and multi-modal AI, alongside novel machine learning approaches. This is a hands-on opportunity with exposure across … Defence challenges Provide technical expertise across projects and client engagements Develop robust, maintainable software using strong engineering practices Work across LLMs/RAG, agentic AI, multi-modal AI, edge AI, explainability and AI robustness Collaborate with engineers and share technical knowledge Experience ...

Design secure, scalable and reusable AI solutions and implementation patterns. Identify opportunities to apply Generative AI, LLMs, AI agents, RAG and automation. Develop new AI-enabled products and services, taking solutions from pilot through to production. Create reusable architectures, frameworks, documentation … Skills & Experience The successful candidate will have strong experience across: AI & Generative AI: LLMs, foundation models, AI assistants, agents, RAG, enterprise search and workflow automation. Solution & Platform Architecture: Designing scalable, resilient and supportable enterprise solutions. Data & Integration: Data architecture, governance, structured/unstructured ...

shape enterprise‐wide transformation. You will lead client engagements from strategy through to execution that combine modern data platforms, semantic architectures and agentic AI solutions to deliver measurable business value, whilst contributing to the growth of our EDA Financial Services practice. YOUR ROLE This role … agentic workflows and intelligent decision platforms, with defined user needs, business outcomes and success metrics Designing operating models that integrate people, AI agents and business processes - including role redesign, human‐in‐the‐loop controls, and the change strategy that makes adoption stick Partnering with business, product ...

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 opportunity to work at the forefront of Generative AI … Google Gemini experience MLOps, Data Engineering or Platform Engineering experience Experience leading technical teams Knowledge of Agentic AI, AI Agents and emerging AI frameworks What's On Offer? Opportunity to work on high-profile AI transformation projects Exposure to the latest ...

Count on You To: Work closely/as part of the product squads to build, integrate, and deploy GenAI, multi-AI-Agents and data science solutions. Ensure sharing best practices and learnings with other squad members. Design and spearhead the development of Gen AI, AI … Have: Work experience as a ML or AI engineer (5+ years) Prior experience developing production quality Python is essentialDeep understanding of Agentic AI systems and multi-agent architecturesProficiency in machine learning and and deep learning algorithms such as Deep learning, NLP, Neural networks, multi-class classifications ...

fields, and the data contracts powering analytics and reporting across the product. In this role you will not write the code. AI agents will. You will own the specifications that govern these services, the agentic pipeline that turns those specifications into production software, and the verification machinery … with Data Platform and Analytics engineers, Support teams, and Product stakeholders — translating their needs into agent-executable specifications. Specs are our system of record; agents do the typing. What you'll be doing Agentic Delivery Deliver features across multi-tenant data platform services — data ingestion, schema management, effective dating ...

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 … 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-facing experience and an understanding of enterprise security, compliance ...

& MCP Integration: Design, build, and maintain Model Context Protocol (MCP) servers and services that securely expose backend data and enterprise tools to agentic AI workflows. Implement robust orchestration, tool-calling capabilities, and multi-agent coordination. Full-Stack Engineering: Drive best practices across our full stack, guiding … quality technical projects in a senior or principal role. AI & Agentic Production Exposure: Deep hands-on experience designing, deploying, and scaling agentic AI workflows, tool integrations, and GenAI features in production environments. Full-Stack Expertise: High proficiency in modern frontend frameworks (specifically React and TypeScript ...

projects, including: Building applications and services powered by LLMs and Generative AI Developing RAG and retrieval-based applications Building AI agents and intelligent automation Integrating AI capabilities into existing applications, APIs and business systems Working with structured and unstructured data Taking AI … AI technologies . You'll ideally have experience across several of the following: RAG C#/.NET or Python AI agents or agentic workflows APIs and systems integration Cloud-based application development CI/CD and modern software engineering practices Experience with technologies such ...

enabled workflow solutions**Solution Design & Architecture*** Design and support implementation of:* AI Control Tower (AI lifecycle management, governance, observability)* Agentic AI workflows enabling autonomous execution* Now Assist/GenAI use cases across workflows* Define data, integration, and workflow architectures for AI-enabled … following areas:* ServiceNow consulting and/or implementations* AI/GenAI/automation use cases* Conversational AI/virtual agents* Enterprise architecture, data, or integrationUnderstanding of:* AI governance and responsible AI principles* Workflow design and process automation**Consulting & Leadership Skills*** Strong ...

enabled workflow solutions**Solution Design & Architecture*** Design and support implementation of:* AI Control Tower (AI lifecycle management, governance, observability)* Agentic AI workflows enabling autonomous execution* Now Assist/GenAI use cases across workflows* Define data, integration, and workflow architectures for AI-enabled … following areas:* ServiceNow consulting and/or implementations* AI/GenAI/automation use cases* Conversational AI/virtual agents* Enterprise architecture, data, or integrationUnderstanding of:* AI governance and responsible AI principles* Workflow design and process automation**Consulting & Leadership Skills*** Strong ...

first, agentic software development model. You will lead this transition within your team, establishing ways of working where engineers and AI agents collaborate effectively across the software development lifecycle. How We Think About AI AI is a foundational part of modern software engineering … built in. AI-First & Agentic Engineering Lead adoption of AI-assisted and agentic engineering practices. Structure work so engineers and agents can deliver effectively together. Increase the proportion of development activity that can be safely automated. Establish automated validation and guardrails for AI ...