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

NLP PEOPLE; Remote; EUR 100.000; Vollzeit

Zusammenfassung

A European SaaS company is looking for a Senior Machine Learning Engineer to fine-tune and deploy NLP models for legal tasks. The role requires over 3 years of experience in machine learning with strong Python skills, along with familiarity with Hugging Face and PyTorch. Join a fast-growing team that values real-world deployment of AI solutions, contributing to innovative products used by enterprise clients.

Qualifikationen

• 3+ years in machine learning or data science.
• Experience with NLP projects involving LLMs or RAG architectures.
• Ability to fine-tune and deploy transformer models.

Aufgaben

• Fine-tune and deploy transformer models for legal/NLP tasks.
• Build and monitor real-time document classification and summarization pipelines.
• Collaborate with experts to improve model performance.

Kenntnisse

Strong Python skills

Experience with Hugging Face, PyTorch

NLP project experience

AWS/GCP experience

Exposure to LangChain, Pinecone, or Weaviate

Jobbeschreibung

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

What you’ll need:

• 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

If you’re excited by real-world LLM deployment — not just prototypes — let’s talk.

Company

Findr

Experience Level

Senior (5+ years of experience)