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NLP Engineer

£70k per annum
Full-time
Avanti Recruitment
St Peter, Jersey

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Avanti Recruitment is working with a growing SaaS technology company to recruit a Mid-Level NLP Engineer to join a specialist team building and supporting production NLP and document-processing technology. This is a hands-on engineering role focused on improving how a live software platform extracts and processes information from complex documents. You will work closely with a Senior NLP Specialist, initially supporting the existing production environment and gradually taking ownership of larger features and new functionality. What you'll be doing

  • Developing and maintaining Python-based NLP and document-processing services
  • Extracting and processing information from Word documents, PDFs and unstructured text
  • Working with NLP techniques such as information extraction, classification, pattern matching and entity extraction
  • Investigating and resolving issues in a live production environment
  • Debugging, testing and releasing fixes
  • Contributing to new document-intelligence functionality
  • Working with modern LLM technology alongside more traditional NLP approaches
What we're looking for
  • Strong commercial Python experience
  • Hands-on Natural Language Processing experience
  • Experience with document extraction or unstructured text
  • Experience working on live production software
  • Good understanding of debugging, testing and release processes
  • Experience with tools such as spaCy, NLTK, NER or equivalent NLP technologies
Useful but not essential: * LLM / Generative AI exposure

* AWS

* Elasticsearch / OpenSearch

* OCR

* C# / .NET

* LegalTech, FinTech, RegTech or other document-heavy environments This is not a research or proof-of-concept role. The team is looking for someone who enjoys applying NLP to real software used by real customers. Salary: Up to £70,000 Location: Fully remote across the UK If you have commercial Python and NLP experience and enjoy solving practical document-processing problems, please apply for further information

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Vacancy posted 2 days ago
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