2 of 2 Natural Language Processing Jobs in Yorkshire

environments and enhancing SDLC maturity for enterprise-level model launches. You’ll work closely with Data Science and Innovation teams to productionise models (predictive, NLP, and foundation models) and drive best practices in MLOps. Responsibilities Design and implement end-to-end ML pipelines for scalable deployments Establish CI/ ...

Large Language Models, and Generative AI. The candidate will be responsible for leading end to end delivery of AI solutions including RAG systems, NLP pipelines, and LLM based applications in enterprise environments. Key Responsibilities Lead end to end delivery of AI and machine learning projects from design to production … Manage implementation of Generative AI, NLP, and RAG based systems Drive AI model lifecycle including training, fine tuning, evaluation, and deployment Coordinate cross functional teams including Data Scientists, ML Engineers, DevOps, and Product teams Manage Agile delivery including sprint planning, backlog, and stakeholder communication Ensure compliance with data privacy regulations ...