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
€ 100KJob 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