An NLP engineer builds software that understands, extracts from or generates human language, using classic NLP and large language models. They turn text and speech data into reliable product features.
A large language model (LLM) is a neural network trained on very large amounts of text to predict and generate language. It powers chat assistants, summarisers, coding tools and AI agents.
Named entity recognition is the task of finding and labelling specific things in text, such as people, companies, places, dates, amounts or product codes. It turns free text into fields a system can store and search.
A machine learning engineer builds, deploys and maintains machine learning models as reliable software in production. Teams usually hire one once a model has proved its value and must run, scale and stay accurate every day.
Natural language processing is the field of AI that lets software understand, analyse and generate human language, in written text or in speech. Chatbots, email triage, sentiment analysis of product reviews and speech-to-text transcription in contact centres are everyday uses.
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