26 to 31 of 31 Dialogue System Jobs in London

hypothes e s, solution approaches and measurable s uccess metrics . Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation. Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing. ...

hypothes e s, solution approaches and measurable s uccess metrics . Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation. Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing. ...

RLHF pipelines. Familiarity with distributed training frameworks (DDP, FSDP, DeepSpeed). Background in NLP tasks such as NER, semantic similarity, QA, or dialogue systems. Experience with experiment tracking platforms (MLflow, Weights & Biases). Exposure to agentic AI paradigms (ReAct, chain-of-thought reasoning, tool use). Prior experience ...

🤖 Senior Research Engineer - Conversational AI 📍 In-office (Location TBC) Recruiting for a leading conversational AI platform backed by tier-1 investors that's redefining customer experience for enterprise brands. About the company: They power AI ...

Are you passionate about Artificial Intelligence and ready to lead from the front? Were looking for a Lead AI Engineer to join our AI and Data Practice at Sopra Steria. This is a hands-on ...

drift detection) Ensure alignment with governance, security and industry standards AI Enablement & Data Serving Build high-quality datasets for retrieval pipelines (RAG), embeddings and conversational agents Create data foundations supporting decision engines, reinforcement learning and value measurement Partner with AI engineers to operationalise pipelines for LLM workflows and agentic systems … ontologies, knowledge graphs and AI systems Early-stage growth environment backed by significant investment and strong market traction High autonomy, low bureaucracy and meaningful system-building responsibility Opportunity to shape internal standards, accelerators and AI-native products Clear commitment to responsible AI and widening access to advanced technologies Flexible ...