Mid-Level NLP Engineer

Avanti Recruitment
Manchester, United Kingdom
Today
£45,000 – £70,000 pa

Salary

£45,000 – £70,000 pa

Posted
26 Aug 2026 (Today)

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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