1 to 25 of 31 AI Agents Jobs in Manchester

will lead the development and implementation of advanced AI solutions, leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Machine Learning, and Azure AI services. You will provide technical leadership, establish best practices, and help build the organisation’s long-term … solve complex business challenges. Lead the architecture and implementation of production-grade AI applications using LLMs, RAG pipelines, AI Agents, and Azure AI services. Provide technical leadership across AI initiatives, ensuring solutions follow best practices for scalability, security, performance, and governance. ...

AI Search & Content Automation Executive (SEO, GEO & AI Agents) Manchester (hybrid working) About Us With a global network spanning the UK and mainland Europe, VonHaus is a growing eCommerce company. Our mission is to provide the highest quality products at competitive prices with outstanding service … content and search strategies that enhance our visibility across both traditional and emerging search platforms. Specifically, you will design and manage AI agents that automate content creation, developing prompt frameworks, content workflows and quality assurance processes that ensure accuracy, consistency and brand compliance. You will also identify ...

with IT, operational, commercial, and leadership teams, you will drive practical AI initiatives using Azure, LLMs, machine learning, and AI agents ensuring solutions are secure, scalable, integrated, and delivering measurable business impact. The organisation is already investing heavily in AI and exploring … AI cloud platform (Azure preferred) Strong SQL skills and experience working with both structured and unstructured data Experience building AI agents, workflow automation, and tool/API integrations Strong commercial awareness with the ability to assess business value and prioritise AI initiatives effectively ...

operational and commercial teams, you will build and implement practical AI use cases using Azure, LLMs, machine learning, and AI agents - ensuring solutions are secure, integrated, scalable, and actively used across the business. The organisation is already exploring a broad range of AI … closely with business teams, you will build and implement practical AI use cases using Azure, LLMs, ML, and AI agents ensuring they are secure, integrated, scalable, and actively used. Key Responsibilities Design and build high-performing AI models tailored to specific business needs ...

Salesforce Experience Cloud and a strong understanding of AI-driven automation to create seamless self-service solutions, AI-powered agents, and intelligent workflows that enhance customer engagement. The ideal candidate will work closely with clients, internal teams, and stakeholders to drive automation, improve user experience … guided service journeys. Integrate Einstein AI and automation tools for proactive customer support and case resolution. 2. AI-Powered Virtual Agents & Automation Develop and optimize AI-driven virtual agents within Salesforce and external platforms. Utilize Einstein AI, NLP, and machine ...

AI Search & Content Automation Executive (SEO, GEO & AI Agents) Manchester (hybrid working) About Us With a global network spanning the UK and mainland Europe, VonHaus is a growing eCommerce company. Our mission is to provide the highest quality products at competitive prices with outstanding service ...

AI Search & Content Automation Executive (SEO, GEO & AI Agents) Read all the information about this opportunity carefully, then use the application button below to send your CV and application. Manchester (hybrid working) About Us With a global network spanning the UK and mainland Europe, VonHaus ...

services-into robust, production-ready solutions. What Youll Do Design, build, and integrate AI applications into end-to-end workflows. Embed agentic AI into customer and operational processes with reliability, resilience, and safe fallback behavior. Collaborate with Product, Engineering, Data, and Operations to take AI … background (Python), with experience delivering production AI or ML-integrated systems. Hands-on experience with LLMs, AI services, or agentic AI frameworks. Practical understanding of AI production concerns: latency, resilience, observability, safety, and maintainability. Systems thinker who collaborates effectively across teams ...

workflows, challenges, and priorities Identifying opportunities where AI can reduce manual effort or improve decision‐making Designing and building AI agents/no‐code solutions (primarily within the M365 Copilot ecosystem) Rapidly testing and refining tools based on real user feedback Supporting adoption of AI … senior or executive‐level stakeholders Strong awareness of data sensitivity, governance, and responsible AI use Experience designing or building AI agents, automations, or workflow tools Background in digital transformation, product, or process improvement roles Previous experience supporting executive or senior leadership teams Familiarity with education ...

Year at the British Insurance Awards 2024 and our Glassdoor score is pretty mega too! An exciting opportunity has arisen for a Principal AI Engineer to join us as a senior technical authority for AI and Generative AI, defining our long-term AI … that minimise vendor lock‐in and support rapid experimentation across Azure OpenAI and alternative LLM ecosystems. You’ll also shape the design of agentic AI systems, orchestration layers, and integration patterns that support flexible, production‐ready AI solutions at pace. Working closely with Enterprise Architecture, Security ...

collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing … AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks ...

AI Engineers & Technical AI Leaders Manchester | Hybrid We're supporting a major consulting and technology organisation delivering AI and data transformation programmes across Financial Services and Banking The focus is applied AI engineering, building production grade AI solutions across banking … risk, fraud, automation and enterprise platforms. Hiring across multiple levels, from Engineers through to senior technical leadership. What you'll be doing Building AI-enabled platforms and intelligent workflows Working with LLMs, RAG pipelines and embedding models Developing scalable backend services and AI integrations Collaborating across ...

AI Solution Architects & Technical AI Leaders Manchester | Hybrid We're supporting a major consulting and technology organisation delivering enterprise AI and data transformation programmes across Financial Services. The focus is designing scalable AI architectures that move beyond proof of concept into secure … What you'll be doing Designing AI and GenAI architecture strategies and roadmaps Building scalable AI/ML and Agentic AI platforms Working across LLMs, RAG, embeddings and semantic search Supporting AI deployment, governance and integration patterns Collaborating with engineering, data, DevOps ...

seasoned Voice AI Lead Architect with strong Data Architecture expertise to lead the design and implementation of next-generation Voice/Agentic AI solutions for a leading banking client on GCP . This role combines conversational AI, data strategy, and customer engagement , acting … BigQuery) Customer 360 and contextual data enablement Build RAG-based knowledge systems integrating structured and unstructured banking data. Architect data-driven decisioning for voice agents (personalization, next-best action, fraud detection signals). Ensure integration with core banking, CRM, and analytics platforms . Establish data governance, lineage, quality ...

funnel bottlenecks and implementing optimisations across campaigns and conversion points Planning and executing event participation at industry conferences and exhibitions Building AI agents and automated workflows to increase speed and output across the function Running A/B tests across email, landing pages, and nurture flows … line revenue Deep, practical experience owning HubSpot end-to-end Confidence using AI tools daily, and the ability to build agents and workflows to automate production The ability to operate autonomously in a lean environment and move at pace A track record of owning pipeline outcomes ...

market positioning. You'll define our QE proposition portfolio, set strategic direction with clients and leadership, and establish how we differentiate in an AI-driven market. Own our intellectual foundation, challenge conventional thinking, and be the trusted advisor shaping quality engineering across the organisation and our clients. What … Roqs Quality Engineering propositions, ensuring our offerings lead the market in relevance, differentiation and commercial viability Horizon-scan for emerging technologies including agentic AI, AI-assisted and data-driven quality approaches evaluating their strategic fit and maturing promising ideas into repeatable solutions Shape and own Roqs ...

e.g. Google Analytics, BiqQuery) would be advantageous Change management using JIRA and Confluence would be an advantage Experience using and implementing AI agents for code creation and process efficiency would be advantageous About AJ Bell AJ Bell is one of the UK’s fastest-growing investment platform ...

technical evolution. They are investing heavily in AI and platform capability, looking for someone who can take ownership of agentic AI systems and shape how intelligent workflows are embedded across a complex product used by large, design-led organisations. The Company They are a well-established … platform specialist across the engineering organisation, working closely with product, design and engineering teams. Your responsibilities will include: Designing and building agentic AI workflows that integrate deeply into an existing product platform. Developing systems that allow design changes to propagate intelligently across tools and documentation. Working across multiple ...

Operations, Data Science, and multiple other software teams within the Advertising Engineering organization to deliver high‐impact solutions. Looking ahead, we are exploring AI‐driven measurement capabilities to further enhance the effectiveness of advertising campaigns and strengthen internal analytics. About the Role We are seeking a highly skilled … platforms and campaign measurement. Knowledge of CI/CD pipelines, DevOps practices, and infrastructure‐as‐code tools such as Terraform. Experience with building Agentic AI systems to automate decision‐making and enhance analytics workflows. Bachelor’s degree in computer science, engineering, or a related field (or equivalent experience ...

development. Requirements: Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience 5+ years of experience developing AI/ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience … independently own and execute a project holistically at a high level Experience mentoring junior team members Preferred Requirements: Deep expertise in engineering agentic AI systems Knowledge of the healthcare/pharma domain and experience applying AI to healthcare data Experience with AWS, especially ECS, Bedrock, SageMaker ...

AI Software Engineer, Firebase, GCP, COR7557E An exceptional … opportunity for an AI Software Engineer to join an early stage start-up, building a workflow and intelligence platform powered by agentic AI, multimodal analysis and domain-specific insight. This is a hands-on lead engineering role, with a clear path to CTO as the company ...

SeniorAIEngineerManchester Agrowingtechnology-ledbusinessisseekinga SeniorAIEngineer toplayapivotalroleinshapinganddeliveringitsAIstrategy.Thisisasenior-level,hands-onpositionresponsiblefordesigning,building,anddeployingenterprise-gradeAIsolutionsthatdrivemeasurablebusinessvalueacrosstheorganisation. WorkingcloselywithIT,Data,Engineering,andseniorbusinessstakeholders,youwillleadthedevelopmentandimplementationofadvancedAIsolutions,leveragingLargeLanguageModels(LLMs),Retrieval-AugmentedGeneration(RAG),AIAgents,MachineLearning,andAzureAIservices.Youwillprovidetechnicalleadership,establishbestpractices,andhelpbuildtheorganisationslong-termAIcapability. ThebusinessisinvestingheavilyinAIandislookingforsomeonewhocancombinedeeptechnicalexpertisewithstrategicthinking,takingsolutionsfromconceptthroughtoproductiondeploymentandadoption. TheidealcandidatewillhaveastrongfoundationinAIEngineeringcombinedwitharobustDataSciencebackground,enablingthemtodevelop,evaluate,andoptimiseAIsolutionsthatdelivermeasurablebusinessoutcomes. ThisrolewouldsuitanexperiencedAIprofessionalwhoenjoyssolvingcomplexbusinesschallenges,mentoringothers,influencingtechnicaldirection,anddeliveringinnovativeAIsolutionsatscale. RolePurpose AsaSeniorAIEngineer,youwillleadthedesign,development,deployment,andoptimisationofenterpriseAIsolutions,ensuringtheyaresecure,scalable,maintainable,andalignedtobusinessobjectives. YouwillactasasubjectmatterexpertforAItechnologies,helpingtodefinearchitecture,establishstandards … andguidetheorganisationsAIroadmapwhileremaininghands-onwithimplementation. KeyResponsibilities Design,develop,anddeployadvancedAIandMachineLearningsolutionstosolvecomplexbusinesschallenges. Leadthearchitectureandimplementationofproduction-gradeAIapplicationsusingLLMs,RAGpipelines,AIAgents,andAzureAIservices. ProvidetechnicalleadershipacrossAIinitiatives,ensuringsolutionsfollowbestpracticesforscalability,security,performance,andgovernance. OwnthefullAIdevelopmentlifecycle,fromdiscoveryandproof-of-conceptthroughtoproductiondeploymentandbusinessadoption. DevelopandoptimiseAImodels,promptengineeringframeworks,vectordatabases,andretrievalsystems. DesignandimplementAIagentarchitectures,workflowautomation,andAPIintegrations. CollaboratewithInfrastructureandEngineeringteamstodeployAIsolutionssecurelywithinenterpriseenvironments. EnsuresolutionsleveragePrivateEndpoints,securenetworking,identitymanagement,andenterprise-gradegovernancecontrols. Establishmonitoring,evaluation,andobservabilityframeworksforAIsystems,includinghallucinationdetection,modeldriftmonitoring,performancetracking,andcostoptimisation. Partnerwithoperationalandcommercialstakeholderstoidentifyhigh-valueAIopportunitiesanddefinebusinesscases. MeasureandreportonAIprojectoutcomes,includingefficiencygains,automationbenefits,costsavings,andcustomerexperienceimprovements. Mentorandsupportothertechnicalteammembers,promotingAIbestpracticesandknowledgesharingacrosstheorganisation. ContributetothedevelopmentoftheorganisationsAIstrategy ...

helping shape future-state architecture while supporting real-world implementation across large-scale programmes. The work cuts across multiple areas including cloud platforms, AI, data protection, payments, lending, cards, pensions and markets technology. There’s also growing focus around composability, Architecture as Code and intelligent automation, so this … senior stakeholders across multiple workstreams Contributing to Architecture as Code initiatives and reusable architecture components Advising on emerging technologies including AI, agentic AI, blockchain and cloud-native services Helping shape tooling strategy, integration patterns and enterprise data approaches Acting as a senior technical voice across architecture ...

helping shape future-state architecture while supporting real-world implementation across large-scale programmes. The work cuts across multiple areas including cloud platforms, AI, data protection, payments, lending, cards, pensions and markets technology. There’s also growing focus around composability, Architecture as Code and intelligent automation, so this … senior stakeholders across multiple workstreams Contributing to Architecture as Code initiatives and reusable architecture components Advising on emerging technologies including AI, agentic AI, blockchain and cloud-native services Helping shape tooling strategy, integration patterns and enterprise data approaches Acting as a senior technical voice across architecture ...

development/architecture (Azure) Experience working in an Agile environment (Scrum/Kanban) Knowledge and experience of Unit Testing (xUnit, nUnit) Experience integrating AI/LLM capabilities into back-end services (e.g. OpenAI, Azure OpenAI, or similar APIs) Desired … Skills/Experience Experience of TDD practices DevOps (CI/CD, Pipelines, Infrastructure-as-Code) Experience managing a team of developers Exposure to Agentic AI patterns (tool use, orchestration frameworks, MCP, or similar) Familiarity with modern UI frameworks and tooling (React, React Native, npm) Experience working with Azure ...