1 to 25 of 379 Conversational UI Jobs in England

Senior Android Engineer (UI/UX & Welcome Manager) Overview We are seeking an exceptional Senior Android Engineer to join a newly-founded joint venture backed by five of the world's leading telecommunications companies. Our mission is to restore trust in voice communication by building a network-native intelligence layer to combat the global epidemic of voice fraud and … call screening experience). As the Senior Android Engineer for the Welcome Manager, you are the User-Facing Owner of our AI innovation showcase. This isn't just another UI/UX role; you will be the primary architect of a novel conversational interface. Your challenge is to build the magic: the live transcription, the mid-call … we will showcase to the world at Mobile World Congress (MWC) 2026, and your work will be the primary driver for our monetization strategy. Key Responsibilities ? Conversational UI Architecture: Own the end-to-end development of the Personal Welcome Manager's conversational interface on Android. You will build a fluid, intuitive, and polished user experience More ❯

improve operational outcomes Champion self service analytics and empower business teams to access and use data confidently Responsible Artificial Intelligence & Automation Identify, evaluate, and deliver AI initiatives including: Conversational AI (e.g., chatbots, virtual assistants) Machine Learning and Predictive Models for forecasting and optimisation Collaborate with product, operations, and technology teams to embed AI into products, services, and workflows More ❯

challenges logically and recommend practical approaches. A natural collaborator who communicates clearly and contributes positively to team culture. Bonus points for: Experience with AI agents, prompt engineering, or conversational AI. Knowledge of microservices and distributed systems. Experience with CI/CD pipelines, OAuth 2, and SOLID principles. Familiarity with Microsoft Dataverse, Dynamics 365, or the Power Platform. Why More ❯

Azure, GCP) , API management , enterprise integration , and data architecture . Exposure to AI/ML or Generative AI in real-world applications (e.g., NLP, entity extraction, predictive analytics, conversational AI). Deep appreciation of regulatory landscape , data privacy, and cybersecurity needs within financial services. Preferred Background Experience working with top-tier banks, asset managers, or technology consulting firms More ❯

similar CRMs. Understanding of workflow automation tools (e.g., Zapier, n8n, Make) and dashboarding platforms (e.g., Power BI, Tableau). Hands-on experience in chatbot development and conversational UI design is a plus. Familiarity with RESTful APIs and SDKs for integrating LLMs into enterprise platforms. Knowledge of cloud platforms (Azure, AWS, GCP) and containerization tools (Docker, Kubernetes) is More ❯

impact improvement areas. Support post-launch performance tracking and user adoption metrics. AI Training & Testing Help refine model prompts, responses, and fallback scenarios using live feedback. Participate in conversational design testing and training data curation. Collaborate with engineers and Product Managers to improve assistant tone, accuracy, and responsiveness. Qualifications Bachelor’s degree in Information Systems, Computer Science, Business More ❯

to build technically sound, cost-effective, and scalable solutions — covering device lifecycle management, ServiceNow workflows, smart lockers & vending automation, field support operations (FSO), TechBar setups, DEX analytics, and conversational AI agents. Key Responsibilities 1. Solution Design & Architecture Lead technical presales efforts for EUC, DaaS, and Digital Workplace solutions. Design device lifecycle management frameworks — from procurement to retirement (IMACD More ❯

to build technically sound, cost-effective, and scalable solutions — covering device lifecycle management, ServiceNow workflows, smart lockers & vending automation, field support operations (FSO), TechBar setups, DEX analytics, and conversational AI agents. Key Responsibilities 1. Solution Design & Architecture Lead technical presales efforts for EUC, DaaS, and Digital Workplace solutions. Design device lifecycle management frameworks — from procurement to retirement (IMACD More ❯

models Work closely with the AI CoE in India to design PoCs, demonstrators, and accelerators Architect industry-specific AI solutions in: Banking/Payments: fraud detection, credit scoring, conversational AI, compliance automation Insurance: claims automation, risk modelling, personalised offerings Retail: demand forecasting, customer journey optimisation, hyper-personalised marketing Life Sciences: clinical trial analytics, pharmacovigilance, patient engagement, R&D More ❯

Skills Experience with Microsoft Copilot, Copilot Studio, and prompt engineering. Exposure to SharePoint and Dataverse. Understanding of data flows, APIs, or JSON. Interest in agent-based automation and conversational UX. Ability to write clear, user-focused documentation and specifications. What We Offer Mentorship and training in low-code development, Copilot agent design, and automation. Opportunities to work on More ❯

Skills Experience with Microsoft Copilot, Copilot Studio, and prompt engineering. Exposure to SharePoint and Dataverse. Understanding of data flows, APIs, or JSON. Interest in agent-based automation and conversational UX. Ability to write clear, user-focused documentation and specifications. What We Offer Mentorship and training in low-code development, Copilot agent design, and automation. Opportunities to work on More ❯

clients and our platform. From initial discovery through to implementation and delivery, you'll design robust, scalable, and intelligent solutions that address real-world challenges using technologies like Conversational AI, Real-Time Insights, Agentic Automation , and more. Responsibilities: Client Discovery & Engagement: Collaborate with enterprise clients to understand business processes, pain points, data landscapes, and strategic goals. Solution Architecture More ❯

ML engineers, and product teams to deliver clean, reliable data for model training and real-time inference. Enable chatbot platforms by integrating structured and unstructured data sources for conversational AI applications. Develop and maintain Tableau dashboards to support data storytelling and operational insights. Optimise data workflows across cloud and on-prem environments, ensuring performance and reliability. Skills & Experience More ❯

Agent Software Engineer | Series C AI Scale-Up | Onsite, London (5 days/week) A Series C conversational AI scale-up backed by leading investors (including Bain Capital Ventures, Accel, and a16z) is expanding into London, joining existing offices in San Francisco and New York. Their platform enables major global brands to deliver human-like customer experiences across More ❯

and guidance as needed to ensure solution success Communicate effectively with stakeholders and team members Work with process improvement or IA/AI technologies such as Process Mining, Conversational AI, Low Code/Workflow, RPA, IDP, Generative AI, etc. Requirements: Educated to degree level (or equivalent) Professional, proactive, and adaptable to different circumstances (consulting background is a plus More ❯

and guidance as needed to ensure solution success Communicate effectively with stakeholders and team members Work with process improvement or IA/AI technologies such as Process Mining, Conversational AI, Low Code/Workflow, RPA, IDP, Generative AI, etc. Requirements: Educated to degree level (or equivalent) Professional, proactive, and adaptable to different circumstances (consulting background is a plus More ❯

that reduces manual work and accelerates client processes. Data Intelligence Layer: Enhance data enrichment, contextualisation, and decision-making using advanced AI models. Intelligent Interfaces: Develop adaptive, conversational UI/UX elements powered by LLMs and logic-driven agents. Analytics & Insights: Build predictive analytics, anomaly detection, and KPI dashboards that empower clients to act with confidence. AI Orchestration More ❯

that reduces manual work and accelerates client processes. Data Intelligence Layer: Enhance data enrichment, contextualisation, and decision-making using advanced AI models. Intelligent Interfaces: Develop adaptive, conversational UI/UX elements powered by LLMs and logic-driven agents. Analytics & Insights: Build predictive analytics, anomaly detection, and KPI dashboards that empower clients to act with confidence. AI Orchestration More ❯

Practical experience using managed AI services and foundation models from a major cloud provider (e.g., Amazon Bedrock, Google Vertex AI, Azure AI Services). Experience with a major conversational AI platform (Google Dialogflow, Amazon Lex, Rasa, or similar). A solid understanding of core Python ML libraries (Keras, scikit-learn, Pandas) and deep learning frameworks (TensorFlow, PyTorch). More ❯

Practical experience using managed AI services and foundation models from a major cloud provider (e.g., Amazon Bedrock, Google Vertex AI, Azure AI Services). Experience with a major conversational AI platform (Google Dialogflow, Amazon Lex, Rasa, or similar). A solid understanding of core Python ML libraries (Keras, scikit-learn, Pandas) and deep learning frameworks (TensorFlow, PyTorch). More ❯

digital experiences across departments. We’re looking for an experienced Cloud & DevOps Engineer to join the AI Customer Experience team - a multidisciplinary group driving innovation in Generative AI, conversational interfaces, and automation. You’ll design, build, and manage the infrastructure that powers large-scale AI services and agentic workflows across government systems. Key Responsibilities Design and provision secure More ❯

digital experiences across departments. We’re looking for an experienced Cloud & DevOps Engineer to join the AI Customer Experience team - a multidisciplinary group driving innovation in Generative AI, conversational interfaces, and automation. You’ll design, build, and manage the infrastructure that powers large-scale AI services and agentic workflows across government systems. Key Responsibilities Design and provision secure More ❯

based architectures (e.g., GPT, BERT, T5). Solid background in data science and machine learning, including model development, training, evaluation, and deployment. Experience building and deploying chatbots or conversational AI systems. Knowledge of MLOps tools and pipelines for model versioning and deployment. If you are available and interested in a 6-month Outside IR35 contract, please apply in More ❯

based architectures (e.g., GPT, BERT, T5). Solid background in data science and machine learning, including model development, training, evaluation, and deployment. Experience building and deploying chatbots or conversational AI systems. Knowledge of MLOps tools and pipelines for model versioning and deployment. If you are available and interested in a 6-month Outside IR35 contract, please apply in More ❯

based architectures (e.g., GPT, BERT, T5). Solid background in data science and machine learning, including model development, training, evaluation, and deployment. Experience building and deploying chatbots or conversational AI systems. Knowledge of MLOps tools and pipelines for model versioning and deployment. If you are available and interested in a 6-month Outside IR35 contract, please apply in More ❯