4 of 4 Natural Language Processing Jobs in the West Midlands

production support of the application. Required Skills/Experience The ideal candidate will have the following: Strong experience in Document AI/Intelligent document processing using traditional models and Generative AI - particularly in using open source models for achieving business outcomes. Experience delivering to production in Python, with … focus on machine learning, deep learning, natural language processing, generative AI, image processing and OCR all additional positives. Experience with some of the following frameworks - TensorFlow, Pytorch, Hugging face, Spacy, OpenCV, Regex or equivalents. Experience delivering safe code to production, focusing on cybersecurity and resilience ...

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 ...