1 to 25 of 200 Chatbot Jobs in the UK

fast‐paced environment. Ability to communicate technical concepts clearly to both technical and non‐technical stakeholders. Preferred Qualifications Experience building AI, automation, chatbot, workflow‐based, or data‐driven projects through coursework, research, internships, hackathons, or personal projects. Exposure to Claude, the Anthropic API, Anthropic Console, Anthropic Academy learning, or Claude ...

Generative AI ExpertiseExperience with frameworks such as LangChain, LangGraph, and APIs from OpenAI, Anthropic, etc. Demonstrated proficiency in prompt engineering and orchestrating AI agents, chatbots, and autonomous workflowsCloud, Deployment & Operations Experience- Familiarity with cloud AI/ML services (Azure preferred, also AWS or Google Cloud), container orchestration (Docker, Kubernetes ...

skills to deliver practical enterprise AI solutions. Key Responsibilities AI & Automation Engineering Design and implement AI-powered workplace automation solutions. Develop intelligent virtual assistants, chatbots and AI agents using Microsoft Copilot Studio and Azure OpenAI . Build Agentic AI workflows for autonomous task execution and IT support automation. Integrate ...

Provide hands-on technical leadership across MCP, Python, TypeScript, React, APIs, OpenShift, Kubernetes, and CI/CD engineering practices. Build AI solutions including Agents, chatbots, RAG & Knowledge platforms, Skill based agents, workflow automation, and AI-enabled developer experiences Define engineering standards for prompt engineering, skill engineering, model evaluation, observability, guardrails ...

engaging manner. Distilling information about proposed architectures into actionable insights for developers to implement those solutions effectively. Creating and managing agents, knowledge graphs and chatbots to enhance user experience and efficiency. Leading projects that utilize Retrieval-Augmented Generation (RAG) and GraphRAG techniques. Developing and optimizing AI models using machine learning ...

with generative AI use cases, leveraging large language models (e.g., OpenAI GPT, Hugging Face Transformers) to solve real‐world problems such as text summarisation, chatbots, or content generation. Basic experience with cloud technologies (e.g., AWS, Azure, or GCP). Experience creating interactive visualizations and dashboards using tools such as Dash ...

JAMF) and how AI enhances device experience.· Strong knowledge and firsthand experience of deploying/implementing of AI/ML concepts, including LLMs, chatbots, predictive analytics, and automation frameworks.· Associate and professional level certifications in Microsoft 365, Azure AI, Google Cloud, or ServiceNow.· Experience delivering AI focused change management ...

testing, regression testing, security testing, performance testing, API testing, and integration testing Experience testing or evaluating AI, ML, or LLM-powered systems, such as chatbots, copilots, agents, classifiers, RAG applications, document-processing workflows, or decision-support tools Familiarity with generative AI evaluation methods, including golden datasets, model-graded evaluations, prompt ...

automation and API integration skills to deliver practical enterprise AI solutions.Key ResponsibilitiesAI & Automation EngineeringDesign and implement AI-powered workplace automation solutions.Develop intelligent virtual assistants, chatbots and AI agents using Microsoft Copilot Studio and Azure OpenAI.Build Agentic AI workflows for autonomous task execution and IT support automation.Integrate AI solutions with ITSM ...

framework Experience designing and implementing Agentic AI solutions in regulated industries Knowledge of LLM applications for financial use cases such as document processing and chatbots Strong understanding of compliance-driven AI system design and transparency practices Solid grasp of MLOps principles with experience deploying models in production Proficiency in Python ...

experience Experience working in a professional services/consultancy environment preferred. Experience solving natural language processing problems. Experience creating generative AI applications, such as chatbots or RAG retrieval systems. Stay up to date with cutting edge of AI, reading research papers, attending conferences, etc. Ability to work effectively across multiple ...

production with proper evals, monitoring and cost controls. This role is explicitly not ML model training or data science, and it is not a chatbot-prompting generalist: this is production software engineering with AI at its core. Who You Are A production engineer with AI at the core. You have ...

centres, workflow automation or enterprise software. Exposure to AI tools such as ChatGPT, Claude, Gemini, Copilot or other AI platforms. Experience with conversational AI, chatbots, virtual agents or customer service automation. Experience creating process maps, user stories, acceptance criteria, test plans or solution documentation. Understanding of APIs, integrations, webhooks ...

experience Experience working in a professional services/consultancy environment preferred. Experience solving natural language processing problems. Experience creating generative AI applications, such as chatbots or RAG retrieval systems. Understanding of general computer science concepts (test‐driven development, object‐orientated programming, complexity and optimisation). Ability to work effectively across ...

Experience You will work on realistic AI and automation projects that may include: Designing AI-assisted workflows Building automated business processes Developing AI-powered chatbots and assistants Creating prompt libraries for business use Automating repetitive administrative tasks Integrating business applications using automation platforms Producing AI-generated content for business scenarios ...

Design and build APIs and microservices that integrate AI capabilities into internal and external workflows. Develop, fine‐tune, and deploy LLM‐based applications (e.g., chatbots, assistants, knowledge extraction tools). Architect scalable AI infrastructure on cloud platforms (AWS, GCP, or Azure), leveraging containerisation and IaC. Implement CI/CD pipelines ...

encouraged to apply. Relevant academic, internship, personal, or open-source project experience is valued over years of industry experience. Experience developing AI agents, chatbots, or AI-powered applications through academic, personal, or professional projects. Familiarity with agent frameworks, prompt engineering, and RAG architectures. Experience with cloud platforms, APIs, and databases. ...

Design and build APIs and microservices that integrate AI capabilities into internal and external workflows. Develop, fine-tune, and deploy LLM-based applications (e.g., chatbots, assistants, knowledge extraction tools).Architect scalable AI infrastructure on cloud platforms (AWS, GCP, or Azure), leveraging containerisation and IaC.Implement CI/CD pipelines and enforce ...

production with proper evals, monitoring and cost controls. This role is explicitly not ML model training or data science, and it is not a chatbot-prompting generalist: this is production software engineering with AI at its core. Who You AreA production engineer with AI at the core. You have built ...

9fin. What Makes This Role Different This role is focused on converting complex financial and legal documents into structured, reliable data. While experience with chatbots, retrieval systems, and general-purpose AI applications is valuable, the core challenge is building systems that can accurately understand legal documentation and extract the information ...

internal engineering teams to ensure seamless integration of AI solutions with existing CRM, telephony, and other platforms. Operations & Performance Monitor AI system performance (e.g. chatbot containment rates, CSAT, deflection metrics) and drive continuous improvement cycles. Partner with Quality Assurance and workforce planning teams to assess the impact ...

internal engineering teams to ensure seamless integration of AI solutions with existing CRM, telephony, and other platforms. Operations & PerformanceMonitor AI system performance (e.g. chatbot containment rates, CSAT, deflection metrics) and drive continuous improvement cycles. Partner with Quality Assurance and workforce planning teams to assess the impact of AI on agent ...

data quality, governance and accessibility impact AI solution. Exposure to modern AI platforms such as ChatGPT, Claude, Gemini or Azure AI. Experience building chatbots, copilots, virtual assistants or agent-based solutions. Awareness of emerging concepts such as Model Context Protocol (MCP), Retrieval Augmented Generation (RAG) or multi-agent architectures. Personal ...

Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step ...

Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step ...