1 to 25 of 58 Chatbot Jobs in the South East

visualisation tools or libraries (e.g., Tableau/Looker or D3/Plotly). Demonstrated experience integrating LLMs/AI into data workflows beyond simple chatbot applications. Portfolio showcasing applied machine‐learning solutions in business contexts. Understanding of marketing analytics and campaign measurement. Ability to gather requirements from non‐technical stakeholders ...

goals. Collaborate closely with AI engineers, data scientists, designers, and product managers to deliver intelligent, data-driven user experiences. Integrate AI-powered components (e.g., chatbots, assistants, content generators, predictive UI) into modern web applications. Mentor other engineers, promoting excellence in coding practices, architecture decisions, and technical problem-solving. Establish ...

Natural Language Processing, Computer Vision, Generative AI, Reinforcement Learning, LLMs (e.g., GPT, Claude, Mistral, LLaMA, DeepSeek, etc.). Agent-based architectures, RAG, prompt engineering, chatbots, classification, summarization, speech-to-text, image understanding. Cloud platforms (AWS, Azure, GCP). ML Ops tools and deployment workflows. AI-assisted development tools (e.g., GitHub ...

roadmap. Key Responsibilities Design, build, and enhance LLM-driven tools, including RAG pipelines, embeddings, and prompt engineering. Support and expand the organisation's chatbot capabilities. Work with unscripted data (text, call transcripts) to define key insights and model outputs. Lead and contribute to the development of evaluation frameworks to measure ...

systems UX Engineer - Skills & Requirements Design & Prototyping Advanced Figma skills Wireframing, interactive prototyping, and design systems Responsive web and mobile design Conversational UX Chatbot and conversational interface design Multi-turn conversation flows and context management Error handling and recovery patterns Frontend Development HTML, CSS, JavaScript/TypeScript React ...

architecture decisions and mentoring more junior engineers and data scientists. Your work will focus on delivering high-impact AI solutions, including: Customer and internal chatbots powered by LLMs. Intelligent knowledge retrieval and question-answering systems. Voice and chat-based automation to reduce cost-to-serve. AI tools that improve customer ...

based solutions with LLMs (OpenAI, Hugging Face, LLaMA, etc.) and vector databases (Pinecone, Weaviate, FAISS etc.). Experience in architecting and scaling GenAI chatbots Experience in Agentic AI solutions. Good knowledge of Agentic AI frameworks (LangGraph, AutoGen, CrewAI) and orchestration tooling (MCP Servers) in at least 1 Hyperscaler Design ...

met. Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases. Build and fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.). Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware pipelines to ensure accuracy and relevance. ...

met. Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases. Build and fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.). Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware pipelines to ensure accuracy and relevance. ...

met. Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases. Build and fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.). Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware pipelines to ensure accuracy and relevance. ...

met. Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases. Build and fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.). Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware pipelines to ensure accuracy and relevance. ...

met. Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases. Build and fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.). Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware pipelines to ensure accuracy and relevance. ...

met. Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases. Build and fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.). Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware pipelines to ensure accuracy and relevance. ...

met. Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases. Build and fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.). Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware pipelines to ensure accuracy and relevance. ...

met. Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases. Build and fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.). Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware pipelines to ensure accuracy and relevance. ...

met. Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases. Build and fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.). Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware pipelines to ensure accuracy and relevance. ...

met. Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases. Build and fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.). Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware pipelines to ensure accuracy and relevance. ...

met. Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases. Build and fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.). Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware pipelines to ensure accuracy and relevance. ...

met. Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases. Build and fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.). Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware pipelines to ensure accuracy and relevance. ...

Fellowship, Applied Machine Learning, AI Model Development, AI Systems, Deep Tech, AI R&D, AI Solutions, AI Platform, AI Careers, Computer Vision, Speech Recognition, Chatbot, AI Copilot, Cognitive Computing, Intelligent Systems. ...

platforms, e-store platforms, and related APIs. Proven track record of deploying AI solutions in a marketing context (e.g., Product Recommendations, Propensity Modelling, Intelligent Chatbots, or Automated Content Generation.) MarTech Proficiency: Deep understanding of marketing clouds (e.g., Adobe Experience Cloud, Salesforce Marketing Cloud) and e-commerce platforms (SAP Hybris. ...

business is investing heavily in AI to streamline operations, reduce overheads, and scale without increasing headcount. They've already built an internal ChatGPT-powered chatbot, and now they want AI embedded across the entire business. What You'll Be Doing - Working directly with teams across the business Building practical ...

business is investing heavily in AI to streamline operations, reduce overheads, and scale without increasing headcount. They've already built an internal ChatGPT-powered chatbot, and now they want AI embedded across the entire business. What You'll Be Doing - Working directly with teams across the business Building practical ...

business is investing heavily in AI to streamline operations, reduce overheads, and scale without increasing headcount. They've already built an internal ChatGPT-powered chatbot, and now they want AI embedded across the entire business. What You'll Be Doing - Working directly with teams across the business Building practical ...

business is investing heavily in AI to streamline operations, reduce overheads, and scale without increasing headcount. They've already built an internal ChatGPT-powered chatbot, and now they want AI embedded across the entire business. What You'll Be Doing - Working directly with teams across the business Building practical ...