Remote NLP Engineer - Document Intelligence

Intelligent Legal Solutions (ILS); United Kingdom; Remote; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Competitive compensation

Strong engineering team and cutting‑ed

Lead NLP and document intelligence for

Exposure to complex enterprise-grade W

Continuous learning and ownership

Job summary

Intelligent Legal Solutions is seeking a Middle NLP Specialist to design, build, and optimize text-processing and document intelligence services powering ProVision. You will collaborate with back-end and DevOps teams to deliver reliable NLP systems supporting global enterprise clients.

The ideal candidate brings strong Python experience, NLP libraries, and production-grade architecture, with a focus on performance, maintainability, and scalable workflows involving LLMs.

Qualifications

• Strong experience in Python and NLP libraries
• Experience with document parsing and information extraction
• Familiarity with AWS services (ECS, Lambda, S3, RDS)
• Proficiency in Git, CI/CD and Agile/Scrum
• Experience with production-grade NLP systems and LLM workflows

Responsibilities

• Design, build, and optimize NLP-enabled systems powering ProVision
• Collaborate with backend/frontend/QA/DevOps to deliver reliable, scalable NLP services
• Integrate LLM-powered workflows into enterprise applications

Skills

Python

NLP libraries

Document parsing

Information extraction

AWS ecosystem

Git

CI/CD

Agile/Scrum

Education

Bachelor's degree (not specified)

Tools

spaCy

NLTK

Hugging Face

sentence-transformers

LangChain

LlamaIndex

pdfplumber

PyPDF2

python-docx

Job description

Intelligent Legal Solutions is seeking a Middle NLP Specialist to design, build, and optimize text-processing and document intelligence services powering ProVision. You will collaborate with back-end and DevOps teams to deliver reliable NLP systems supporting global enterprise clients.

The ideal candidate brings strong Python experience, NLP libraries, and production-grade architecture, with a focus on performance, maintainability, and scalable workflows involving LLMs.