6 of 6 Natural Language Processing Jobs in Yorkshire

Analytics Engineer (Natural Language Querying) | Consulting | Leeds/London UK or Remote | £70,000 - £80,000 + Benefits The Company Our client is a leading global supply chain organisation that is shaping the future of data-driven intelligence for some of the worlds biggest retail and FMCG companies. They are committed to empowering businesses through advanced analytics, AI … evolving data and AI landscape. The Role This is no ordinary Analytics Engineer role, this would suit a presales engineer or vendor solution architect with skills and experience in Natural Language Processing and LLM based products. Specifically, you will play a key role in enabling advanced AI/LLM capabilities and driving self-service analytics across the … and accuracy. Key responsibilities: Lead customer onboarding for analytics platforms, delivering training and technical support. Enrich datasets for AI/LLM applications, including metadata management and semantic layers. Monitor Natural Language Query (NLQ) performance and implement optimisation strategies. Develop and maintain a strategic roadmap for platform scalability and accuracy. Design and develop integrated data models using DBT and More ❯

learning architectures. Practical experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs), and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with or experience on cloud platforms Impact and Achievements: As a Principal Data Scientist More ❯

edge data science and AI modelling solutions to help solve business problems. What you'll do Work with the team to execute data science projects, including data collection, pre-processing, feature engineering, model development, validation, and deployment. Engage with business stakeholders to understand domain-specific challenges and opportunities, and collaborate during development to ensure alignment with requirements. Apply advanced … and derive actionable insights to support business objectives. Develop and implement predictive and prescriptive models using machine learning algorithms and techniques, such as regression, classification, clustering, time series analysis, natural language processing, and deep learning. Create clear and compelling visualisations to communicate complex analytical findings effectively. Collaborate with stakeholders (including business, product, and engineering) to understand requirements More ❯

stakeholders to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest AI More ❯

taught AI/ML practitioner with relevant projects An early-career technologist seeking formal qualifications and impactful work Essential skills: Strong foundation in AI/ML (e.g. neural networks, NLP, transformers) Proficiency in Python and ML frameworks (e.g. PyTorch, TensorFlow) Familiarity with LLM APIs and open-source models (e.g. GPT, Claude, Whisper) Understanding of agentic AI frameworks (e.g. LangChain, AutoGen More ❯

SaaS new products, end-to-end. Experience working with cloud platforms, ideally Google Cloud Platform. Background within Software, using Python and React. Experience with AI/ML, LLMs or NLP highly desirable. Excellent communication and stakeholder engagement skills. More ❯