11 of 11 Natural Language Processing Jobs in Yorkshire

Solutions Engineer (Natural Language Querying) | Leeds/London UK | £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 … This is no ordinary Solutions Engineer role, this would suit a presales engineer or vendor solutions engineer or 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 ...

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 ...

results to stakeholders and executives effectively. Overlap of 6 hours with PST time zone is mandatory. Required Skills & Qualifications: Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs). Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed Hands-on experience ...

understand data requirements and optimise data usage Ensure data quality, governance and compliance standards are met across all data assets Support data exchange and processing solutions including ETL, APIs and integration layers Contribute to the ongoing improvement of data platforms and architectures Stay up to date with emerging technologies … including ETL, ESB and API-based integrations Development experience, ideally using Python Knowledge of big data technologies such as the Hadoop stack Exposure to NLP and OCR technologies Awareness or hands-on experience with Generative AI solutions Experience with containerisation technologies such as Docker Background in an industrial and/ ...

understand data requirements and optimise data usage Ensure data quality, governance and compliance standards are met across all data assets Support data exchange and processing solutions including ETL, APIs and integration layers Contribute to the ongoing improvement of data platforms and architectures Stay up to date with emerging technologies … including ETL, ESB and API-based integrations Development experience, ideally using Python Knowledge of big data technologies such as the Hadoop stack Exposure to NLP and OCR technologies Awareness or hands-on experience with Generative AI solutions Experience with containerisation technologies such as Docker Background in an industrial and/ ...

understand data requirements and optimise data usage Ensure data quality, governance and compliance standards are met across all data assets Support data exchange and processing solutions including ETL, APIs and integration layers Contribute to the ongoing improvement of data platforms and architectures Stay up to date with emerging technologies … including ETL, ESB and API-based integrations Development experience, ideally using Python Knowledge of big data technologies such as the Hadoop stack Exposure to NLP and OCR technologies Awareness or hands-on experience with Generative AI solutions Experience with containerisation technologies such as Docker Background in an industrial and/ ...

understand data requirements and optimise data usage Ensure data quality, governance and compliance standards are met across all data assets Support data exchange and processing solutions including ETL, APIs and integration layers Contribute to the ongoing improvement of data platforms and architectures Stay up to date with emerging technologies … including ETL, ESB and API-based integrations Development experience, ideally using Python Knowledge of big data technologies such as the Hadoop stack Exposure to NLP and OCR technologies Awareness or hands-on experience with Generative AI solutions Experience with containerisation technologies such as Docker Background in an industrial and/ ...