5 of 5 Natural Language Processing Jobs in the North East

winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural Language Processing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. We're using the latest … presales engineers or consultants. Stay up to date with regulatory developments (e.g. Consumer Duty, risk oversight, compliance in financial services), Agentic/AI/NLP/LLM technologies, competitive landscape. Occasionally participate in post-sales support/implementation oversight to ensure smooth handover, maintain continued alignment and client satisfaction. Skills ...

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 ...

support commercial teams Developing Q&A-style LLM tools inside Databricks Exploring customer satisfaction and review data (e.g., identifying drivers behind quality scores) NLP on large volumes of free-text data Regression and hypothesis testing across product and operational data Theme extraction from defect reports and customer feedback Helping challenge ...

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 ...

environments. Collaborate with product, engineering, and domain experts to understand operational challenges and translate them into AI-driven solutions. Work on applications such as: -NLP for secure communications monitoring. -Predictive analytics for offender risk and rehabilitation progress. -Behavioural analytics (e.g., detecting self-harm risk via AIM). -Intelligent workflow automation … Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics, MLOps, or secure communications. Knowledge of ethics, bias mitigation, and fairness in AI. Familiarity with justice technology, corrections, or secure IT systems. Contributions ...