Machine Learning Engineer - NLP, LLMs, Python - Remote - €100,000

Findr
Frankfurt am Main, Germany
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
€ 100K

Job location

Remote
Frankfurt am Main, Germany

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Software as a Service
Python
Machine Learning
Natural Language Processing
PyTorch
Large Language Models
HuggingFace
Document Classification

Job description

Machine Learning Engineer - NLP, LLMs, Python - Remote - €100,000

Join a growing European SaaS company building AI-powered tools that help lawyers, consultants, and financial professionals process large volumes of complex documents in seconds.

Their flagship product uses LLMs, retrieval-augmented generation (RAG), and custom fine-tuning to extract key insights from contracts, filings, and internal documentation - streamlining research, risk analysis, and compliance work.

Why this company?

  • Backed by top-tier investors and scaling fast across Europe and the US
  • They've built their own fine-tuned LLM pipelines - no overreliance on off-the-shelf APIs
  • Product is in production with hundreds of enterprise users
  • Research and engineering work is deeply intertwined (not siloed)

What you'll do:

  • Fine-tune and deploy transformer models for multi-language legal/NLP tasks
  • Build and monitor real-time document classification, summarisation and QA pipelines
  • Work with MLOps engineers to scale model performance
  • Collaborate with legal domain experts and product managers

Requirements

  • 3+ years in ML/DS with strong Python skills
  • Experience working with Hugging Face, PyTorch, or similar
  • Prior work on NLP projects, ideally including LLMs or RAG architectures
  • Bonus: AWS/GCP experience, exposure to LangChain, Pinecone, or Weaviate, Senior (5+ years of experience)

Tagged as: Classification, Document Classification, Germany, Industry, NLP, QA

About the company

Findr

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