6 of 6 Natural Language Processing Jobs in Yorkshire

innovative SaaS company transforming corporate finance with AI-powered automation. Their platform streamlines back-office processes in Accounts Payable and Accounts Receivable, leveraging natural language processing, machine learning, and proprietary AI models to reduce repetitive tasks, accelerate insights, and provide real-time cash visibility. They help organisations … Cash, EPM/CPM, ERP, and Treasury. Experience selling into the Office of Finance (Controllership, FP&A, Treasury). Familiarity with AI concepts (LLMs, NLP, Generative AI, AI explainability). Thrive in fast-paced, early-stage environments and work independently. Excellent presentation and communication skills. Hands-on experience with Workday ...

track record running Agile PoCs and MVPs and scaling them into production within complex organizations. Strong understanding of AI/ML techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools ...

track record running Agile PoCs and MVPs and scaling them into production within complex organizations. Strong understanding of AI/ML techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools ...

track record running Agile PoCs and MVPs and scaling them into production within complex organizations. Strong understanding of AI/ML techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools ...

track record running Agile PoCs and MVPs and scaling them into production within complex organizations. Strong understanding of AI/ML techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools ...

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 ...