1 to 25 of 95 Chatbot Jobs in England

Experience with data analysis and visualisation tools (e.g., Looker, Tableau, Power BI). Experience with scripting languages for automation (preferably Python). Experience with automation projects, for instance, building chatbots, email marketing automation or anything similar. Familiarity with CRM systems (e.g., Salesforce) and marketing automation tools (e.g., Marketing Cloud). How we make your life work: Flexible working (for real More ❯

of-the-art models. Excellent collaboration and communication skills, both within teams and with clients. Interest in building AI applications such as forecasting tools, image recognition, and LLM-based chatbots and agents. Proven ability to develop ML models and pipelines using Python and libraries like PyTorch and TensorFlow, from conception to deployment in scalable environments. Ability to design, deploy, and 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 ❯

instructional design, learning science, or digital technology Minimum 3-5 years' experience in learning experience design, with a focus on applying AI to develop innovative solutions (e.g., AI tutors, chatbots, virtual coaches, and AI-enabled learning solutions) to enhance personalization, automation, and content creation Proficient in using (gen)AI tools and platforms (e.g., ChatGPT) to design AI-enabled learning solutions More ❯

with a focus on Business, Marketing, Analytics, or Computer Science Experience with AWS Experience with Javascript Basic understanding of digital interaction technologies such as live chat, virtual agents/chatbots Experience with Prefect Experience building User Interfaces What You Should Know About This Team Our Proof of Concept team is known for its collaborative spirit, a strong desire to learn More ❯

Responsibilities: Design, develop, and maintain software solutions utilizing AWS AI services such as Amazon Lex and Large Language Models (LLMs). Collaborate with cross-functional teams to integrate AI capabilities into contact centre solutions. Write clean, efficient, and maintainable code More ❯

Responsibilities: Design, develop, and maintain software solutions utilizing AWS AI services such as Amazon Lex and Large Language Models (LLMs). Collaborate with cross-functional teams to integrate AI capabilities into contact centre solutions. Write clean, efficient, and maintainable code More ❯

SKILLS Minimum 5 years of experience in a client-facing sales engineer/presales/solution architect technical role required Previous experience in contact center technologies (CCAAS, IVR, ITR, Chatbots, Conversational AI) required Minimum 5 years of experience participating in the sales cycle at a technology company required Technical experience preferably sales-engineering &/or web-development experience required Strong More ❯

negotiation skills. Desirable Skills (Not Essential but beneficial) Experience working with React, Next.js, or modern web frameworks. Hands-on software engineering background. Familiarity with AI-driven personalisation, automation, or chatbot integration. 25 days holiday + bank holidays. Company pension contribution. Modern office in the centre of Liverpool's business district. I wish to receive email updates and newsletters from Downing More ❯

LLMs and emerging AI frameworks such as LangChain, AutoGen, and DSPy. Requirements Technical Expertise Proven experience building and deploying enterprise-grade AI/ML solutions, including RAG, LLMs, and chatbot technologies. Strong proficiency in cloud-based architectures, APIs, and data integration techniques. Experience with agentic workflows, automation, and managing unstructured/structured data. Familiarity with designing software solutions for reuse More ❯

tune, and evaluate AI models to ensure optimal performance and accuracy. Evaluate model performance, fine-tuning models for optimal results, and deploy AI models into production environments. Help develop chatbots and virtual assistants using conversational AI techniques. Present findings and recommendations to stakeholders, including technical and non-technical audiences. Research and stay updated on the latest AI and machine learning More ❯

in an agile team with the architects, other developers, and project manager. Get cross-trained on other areas of Process Intelligence and Automation such as Robotic Process Automation, AI, Chatbots & Process Mapping Being proactive to keep up to date with the latest technology changes Qualifications Essential At least six years of prior IT experience as a developer. Microsoft Power Apps 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 ❯

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 platforms with either Java/J2EE or .NET tech stack More ❯

with customer requirements and product updates Collaborate with Customer Success team members to create and distribute effective communication materials, such as social media posts, Youtube videos, Help Center content, chatbot improvements Utilize customer feedback and support data to refine knowledge content, aiming to improve customer satisfaction and reduce inquiries Maintain content standards for consistency, accuracy, and relevance across all knowledge More ❯

At Navys, we are building the most advanced funds lawyer, ever. Navys is transforming the fund formation process by combining deep legal expertise with AI. This isn’t another chatbot or document summarizer: we are creating the Legal Operating System for funds. Navys fuses internal legal precision and external regulatory insight into a living system that learns, reasons, and scales More ❯

AI-powered systems and work closely with clients to bring ideas to life. What youll do: Design, develop, and deploy scalable, cloud-based applications Build AI tools, agents, and chatbots Work with modern languages (e.g. Python, TypeScript, Java, Go) and frameworks (e.g. React, Node.js, FastAPI) Contribute to architectural decisions, CI/CD pipelines, and infrastructure as code Collaborate with cross More ❯

feedback, identify knowledge gaps, and create engaging, easy-to-understand content that resonates across multiple brands. Lead the design of seamless customer journeys via email and live chat, including chatbot responses and agent handoffs. Collaborate with teams across Operations (Customer Service & Sales), Marketing, Legal, Compliance, and more to ensure content is accurate, compliant, and on-brand. Monitor performance with regular More ❯

feedback, identify knowledge gaps, and create engaging, easy-to-understand content that resonates across multiple brands. Lead the design of seamless customer journeys via email and live chat, including chatbot responses and agent handoffs. Collaborate with teams across Operations (Customer Service & Sales), Marketing, Legal, Compliance, and more to ensure content is accurate, compliant, and on-brand. Monitor performance with regular 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 ❯

skills and proficiency with CRM software and MS Excel. Knowledge of UX/UI principles and how they impact online sales. Familiarity with e-commerce trends such as personalisation, chatbots, or AI-driven shopping experiences. Experience with inventory management and supply chain management. Onsite Working - This role is advertised as Onsite, meaning all working hours and days (regardless of shift More ❯

Sales and Account Management to achieve customer success milestones. Support & Service Delivery Ensure Support provides timely, high-quality responses in line with SLAs and KPIs. Scale AI-enabled tools (chatbots, predictive routing, intelligent ticket deflection) for efficiency and faster resolution times. Analyze support trends and root causes to drive product improvements and enhance documentation. Lead efforts to reduce inbound support More ❯

with technology teams to achieve significant automation rates Understanding of how to enhance proven service methodologies through digital enablement Technology leadership Deep understanding of customer service technologies including AI, chatbots, and automation platforms Experience with Intercom or Genesys preferred; or similar advanced customer communication platforms Knowledge of CRM integration, API development, and omnichannel technology stacks Understanding of data analytics, machine More ❯

and balancing competing priorities in a lean, fast-growing team. Fluency in English is required; additional languages are a plus. Nice to Have Experience with AI-driven IT tools (chatbots, predictive analytics, smart workflows). Familiarity with modern workplace and developer tooling (Microsoft 365, GitHub, Atlassian, Okta, Slack, Cisco Meraki). Experience in regulated environments or the financial sector is 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 ❯