3 of 3 Natural Language Processing Jobs in Belfast

develop, test and optimise machine learning and AI solutions addressing key business challenges including claims analysis, fraud detection, risk assessment and customer insights Develop NLP, LLM, RAG and agentic AI solutions that process unstructured data, generate actionable insights and enable multi-step automated workflows Build and maintain data pipelines ensuring … data science libraries including scikit-learn, TensorFlow, Keras, Pandas and Seaborn Solid understanding of SQL and experience with NoSQL databases Hands-on experience building NLP, LLM, RAG and agentic AI solutions using frameworks such as LangChain, LangGraph, LlamaIndex and Hugging Face Transformers Familiarity with MLOps practices including Git, CI/ ...

such as Data Science, Computer Science, Engineering, Information Systems, Mathematics, Statistics, Economics, Business Analytics or a related field. Proficiency in at least one programming language (e.g., SQL, Python, R). Core experience and skills 2–8 years in data, analytics, BI, engineering, data science, AI, automation or governance. Degree … Science, AI and Advanced Analytics Applying statistical, predictive or machine learning techniques to business problems using Python or R. Experience across forecasting, classification, optimisation, NLP or GenAI‐enabled analysis. Translating model outputs into business recommendations. Awareness of model performance, explainability and responsible AI. Data Governance, Data Quality and Data Management ...

such as Data Science, Computer Science, Engineering, Information Systems, Mathematics, Statistics, Economics, Business Analytics or a related field. Proficiency in at least one programming language (e.g., SQL, Python, R). Core experience and skills 2–8 years in data, analytics, BI, engineering, data science, AI, automation or governance. Proficiency … Science, AI and Advanced Analytics Applying statistical, predictive or machine learning techniques to business problems using Python or R. Experience across forecasting, classification, optimisation, NLP or GenAI‐enabled analysis. Translating model outputs into business recommendations. Awareness of model performance, explainability and responsible AI. Data Governance, Data Quality and Data Management ...