4 of 4 Permanent Natural Language Processing Jobs in Chesterfield

data out of corporate tools in concise human readable form. Design insight generation techniques that summarize key highlights from large complex datasets and support natural language prompts for deep-dive analysis. Construct and maintain robust data pipelines capable of processing complex structured and unstructured quantitative … textual data, ensuring high quality inputs for our models. Work closely with data scientists and ML engineers to integrate and manage diverse ML and NLP models within production environments effectively. What We're Looking For 5+ years of software engineering experience, partially focused on LLM/AI solutions. Experience with ...

Advanced proficiency in Python and SQL; hands‐on use of pandas, NumPy, scikit‐learn, PyTorch. Strong knowledge of supervised/unsupervised learning; experience in NLP, anomaly detection, classification. Experience across the full software development lifecycle, from experimentation through to deployment of containerised Machine Learning models to a live environment, using ...

translate business problems into analytical solutions. Core Tech Stack: Python & SQL (Expert level) Azure ML, Azure Synapse, Databricks MLOps, MLflow, CI/CD pipelines NLP, Deep Learning, Time-Series Forecasting Power BI for data storytelling Docker & Kubernetes What We Need: Strong grasp of CRISP-DM methodology & Agile delivery Experience with ...

potential Full time A scaling B2B SaaS company is seeking a hands-on AI & Machine Learning Lead to drive the development of cutting-edge NLP and GenAI solutions powering responsible, explainable enterprise software. This is a rare opportunity to lead the AI roadmap while remaining technically deep, owning both architecture … robust, production-ready AI solutions. Responsibilities Architect and deliver end-to-end ML pipelines, including model design, deployment, monitoring, and optimisation Build and scale NLP/LLM solutions using semantic search, embeddings, and unstructured data methods Define and implement MLOps frameworks for versioning, observability, drift detection, and reproducibility Lead responsible ...