5 of 5 Natural Language Processing Jobs in the North East

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 ...

/AI solutions for scalability and performance. Implement governance, standards, and integration across Azure, AWS, GCP. Lead advanced AI/ML initiatives (NLP, LLM, Agentic AI) and MLOps frameworks. Collaborate on CI/CD, DevOps, and visualization tools (Power BI, Tableau). Engage stakeholders, ensuring compliance and security. Technical Expertise ...

/AI solutions for scalability and performance. Implement governance, standards, and integration across Azure, AWS, GCP. Lead advanced AI/ML initiatives (NLP, LLM, Agentic AI) and MLOps frameworks. Collaborate on CI/CD, DevOps, and visualization tools (Power BI, Tableau). Engage stakeholders, ensuring compliance and security. Technical Expertise ...

sources (streaming, batch, cloud, on-premises) using Azure, AWS, and GCP services. AI & ML Leadership Architect advanced Data Science, ML and AI solutions, including NLP, RAG LLM and Agentic AI systems. Oversee the implementation of MLOps frameworks, ensuring robust deployment, monitoring, and lifecycle management of ML models. Evaluate and recommend ...

Responsibilities Design and implement robust data pipelines and ML workflows using Python, SQL, Spark, and Databricks. Develop and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including streaming and batch ingestion, using Azure Data Factory, GCP Dataflow ...