1 to 25 of 215 Chatbot Jobs in the UK

to work effectively in cross-functional teams Customer service orientation with focus on delivering business value Preferred Qualifications Advanced Technical Skills Experience with Microsoft Copilot Studio for building intelligent chatbots and conversational AI solutions Familiarity with Power Platform CLI and ALM (Application Lifecycle Management) Experience with Azure Logic Apps, Functions, and other Azure services Knowledge of PowerShell scripting and automation More ❯

be on Dynamics Omnichannel with Co-Pilot studio (IVR and also chat bot) to support with a project the client has inflight. The roleholder will be required to develop chatbots as well as a contact centre based on Dynamics with Co-Pilot IVRs. The ideal candidate will have knowledge in Azure Communication Service (ACS) and Event Grid. Playing a crucial More ❯

feasibility of solutions? Generative AI is rapidly growing in importance. We're witnessing an increasing number of remarkable GenAI models and innovations-from AI infrastructure and intelligent customer service chatbots to operational data analysis, code generation, and multimodal implementations. Given the scale required for developing GenAI workloads, the cloud is an ideal place to build them, and Amazon Web Services More ❯

to implementation teams. Qualifications and Experience Bachelors or Masters degree in Computer Science, or a related field. Strong knowledge of AI and machine learning technologies related to customer experience (chatbots, NLP, sentiment analysis, etc.) Experience with Contact Centre/CX platforms and their integration with AI. Knowledge of cloud platforms (AWS, Azure, Google Cloud) and data management systems (CRM, ERP More ❯

training to suit specific industries, ensuring it aligns with best practices and regulatory standards. Create Training Programs and Materials: Develop modules and engaging resources on conversational AI, NLP, and chatbot design. Assess Training Impact and Learner Progress: Evaluate participant understanding and refine content based on feedback and performance. Stay Current with Industry Trends and Tools: Update training materials with the More ❯

deliver insightful analytics via business intelligence tools such as Power BI. Full-stack development experience: backend (Node.js, Python), frontend (ReactJS). Demonstrated experience designing and implementing Generative AI solutions (chatbots, digital assistants, content generation, etc.). Hands-on implementation and operation of AI/ML models with services like Amazon SageMaker. Advanced proficiency in Python and related AI/ML More ❯

seeking an experienced Agentic AI Consultant to design, build, and scale autonomous multi-agent systems that move beyond PoCs and into real-world production. This is not “just another chatbot role", you’ll architect frameworks, deploy systems at scale, and guide clients through the complexities of next-generation AI adoption. The ideal candidate will unite software engineering depth with data More ❯

in Agile development methodologies like TDD, BDD, Performance/Load testing etc. " DevOps experience - CI/CD, Test Automation, Containerization - tools and processes " Should be conversant with emerging technologies - chatbots, voice/conversational interfaces, RPA, Machine Learning, etc. " In-depth, hands-on experience in developing web/mobile applications or platform with either Java/J2EE or .NET tech stack More ❯

AWS, GCP) to ingest, transform, and analyse large-scale datasets. Collaborate with cross-functional teams to design experiments and deliver actionable insights. Contribute to AI-driven initiatives, such as chatbots or recommendation engines. Communicate findings clearly to stakeholders and influence strategic decisions. What We're Looking For: Proven experience in data science or data engineering roles, ideally within consumer tech More ❯

control, testing, CI/CD, monitoring. Desirable Skills Familiarity with LangChain, LlamaIndex, or similar orchestration frameworks. Experience with speech and voice AI APIs (Eleven Labs, Whisper). Knowledge of chatbot/voicebot design for customer service or sales. DevOps experience (Docker, Kubernetes, and CI/CD pipelines). If this is a role you would be interested in and want More ❯

eg, Intercom, Zendesk AI, Zapier), with the ability to collaborate seamlessly with product, engineering, and data teams. Experience designing and rolling out self-service solutions such as help centres, chatbots, or trigger-based automations. Strong analytical skills, with the ability to turn performance data and trends into practical, impactful improvements. Excellent communication and stakeholder management skills, with the ability to More ❯

e.g., Intercom, Zendesk AI, Zapier), with the ability to collaborate seamlessly with product, engineering, and data teams. Experience designing and rolling out self-service solutions such as help centres, chatbots, or trigger-based automations. Strong analytical skills, with the ability to turn performance data and trends into practical, impactful improvements. Excellent communication and stakeholder management skills, with the ability to More ❯

and maintain a web-based "Front Desk" interface for finance-related workflows. Integrate web forms with AI-powered Back End services. Contribute to the design, development, and scaling of chatbots and agent frameworks. Collaborate with product owners, designers, and other engineers to prioritise and deliver features. Ensure security, compliance, and confidentiality of sensitive financial data. The skills you'll need More ❯

business needs into coded AI solutions . Desirable Skills Familiarity with LangChain, LlamaIndex , or similar orchestration frameworks. Experience with speech and voice AI APIs (ElevenLabs, Whisper). Knowledge of chatbot/voicebot design for customer service or sales. DevOps experience (Docker, Kubernetes, CI/CD pipelines). What my client Offer Salary: £40,000 – £55,000 DOE . The opportunity More ❯

and maintain a web-based 'Front Desk' interface for finance-related workflows. Integrate web forms with AI-powered back-end services. Contribute to the design, development, and scaling of chatbots and agent frameworks. Collaborate with product owners, designers, and other engineers to prioritise and deliver features. Ensure security, compliance, and confidentiality of sensitive financial data. Key Accountabilities, Skills & Experience More ❯

identify opportunities for data science that add value to the business. Advance the use of AI within the business by building our next generation data products, e.g. recommendation systems, chatbots, text analytics systems, pricing and hedging optimisation and automatic insight generation systems. Work with stakeholders from across the business to turn business problems into data science solutions. Mentor junior members More ❯

Build and manage datasets for training and evaluation (structured + unstructured data from operations). Deploy models into production-ready services accessible by non-technical staff (e.g. APIs, dashboards, chatbots). Optimise models for speed, cost, and accuracy in day-to-day use. Automate data workflows and build pipelines to feed models with clean, updated data. Work with the AI More ❯

powered customer service solutions Experience with AI/ML technologies in contact center applications, including Natural Language Understanding (NLU), Natural Language Processing (NLP), prompt engineering, large language model implementation, chatbot development and optimization, and AI/ML model training and fine-tuning Serverless development experience including complex integrations with Amazon Lex, Lambda, Kinesis, Dynamo DB, Bedrock and 3rd party AI More ❯

operates within the Ed-Tech domain, employs over 10,000 individuals across 100 countries and has a reach of 600 million users, is recruiting an MLOps Engineer who has Chatbot (Voice) integration project experience using Python, Pytorch, Pyspark and AWS LLM/Generative AI. Our client is paying £400 PD Outside IR 35 to start ASAP for an initial More ❯

ability to collaborate across departments. Ideally you will also have some: Familiarity with Connex, or other call centre/marketing platforms. Understanding of AI and automation in customer service (chatbots, sentiment analysis, etc.). Experience with data analytics, BI tools (e.g., Tableau, Power BI), and performance dashboards. This fantastic new role is to be based in the companys office in More ❯

ability to collaborate across departments. Ideally you will also have some: Familiarity with Connex, or other call centre/marketing platforms. Understanding of AI and automation in customer service (chatbots, sentiment analysis, etc.). Experience with data analytics, BI tools (e.g., Tableau, Power BI), and performance dashboards. This fantastic new role is to be based in the companys office in More ❯

/TypeScript. • Solid understanding of architectural principles and design patterns. • Experience with API integration, especially using Next.js or Node.js. • Hands-on experience integrating GenAI models into frontend applications (e.g., chatbots, summarization tools, recommendation engines). • Knowledge of application compatibility, security, and performance optimization. • Familiarity with AWS services related to frontend deployment and GenAI model hosting (e.g., SageMaker, Bedrock). Preferred More ❯

/TypeScript. • Solid understanding of architectural principles and design patterns. • Experience with API integration, especially using Next.js or Node.js. • Hands-on experience integrating GenAI models into frontend applications (e.g., chatbots, summarization tools, recommendation engines). • Knowledge of application compatibility, security, and performance optimization. • Familiarity with AWS services related to frontend deployment and GenAI model hosting (e.g., SageMaker, Bedrock). Preferred More ❯

/TypeScript. • Solid understanding of architectural principles and design patterns. • Experience with API integration, especially using Next.js or Node.js. • Hands-on experience integrating GenAI models into frontend applications (e.g., chatbots, summarization tools, recommendation engines). • Knowledge of application compatibility, security, and performance optimization. • Familiarity with AWS services related to frontend deployment and GenAI model hosting (e.g., SageMaker, Bedrock). Preferred More ❯

and reporting tools. Experience working with generative AI use cases, leveraging large language models (e.g., OpenAI GPT, Hugging Face Transformers) to solve real-world problems such as text summarization, chatbots, or content generation.Prior involvement in knowledge-sharing activities within teams or through public forums (conferences, blogs, etc.). Who you are : - you share information, knowledge and experience, understanding the mutual More ❯