Sr. Machine Learning Engineer | Up to €170K

Bluebird; Amsterdam; On-site; EUR 153,000 - 187,000; Full time

Job summary

A fast-growing AI company is seeking a Sr. Machine Learning Engineer to design, fine-tune, and deploy cutting-edge LLMs. You will be involved across the entire lifecycle from data to production and work closely with researchers to enhance model reliability. Candidates should have at least 5 years of ML engineering experience, strong skills in Python, and familiarity with LLM technologies.

Qualifications

• 5+ years in ML engineering, with LLM exposure.
• Strong Python & PyTorch experience.
• Experience deploying ML models to production.

Responsibilities

• Run experiments to fine-tune and evaluate LLMs.
• Integrate LLMs into production workflows.
• Collaborate with researchers for reliable model deployment.

Skills

Machine Learning engineering

Python

PyTorch

LLM fine-tuning

Prompt optimisation

Job description

Sr. Machine Learning Engineer

A fast-growing AI team is building LLM-powered applications from the ground up for real-world enterprise use cases.

They’re looking for a Sr. MLE to design, fine-tune, and deploy cutting-edge LLMs. You’ll be hands-on across the entire lifecycle: data → training → inference → production.

Mission: Build, fine-tune & integrate LLMs into scalable products

Comp: Up to €170k

Role

• You’ll run experiments to fine-tune and evaluate LLMs, integrate them into production workflows and agentic systems, and collaborate with researchers to make models reliable, efficient, and production-ready.
• This is a hands-on, high-autonomy role for someone who loves both experimentation and building.

Who?

• 5+ years in ML engineering, with LLM exposure (fine-tuning, prompt optimisation, synthetic data, etc.)
• Strong Python & PyTorch with transformer model know-how
• Experience deploying ML models to production at scale
• Bonus: Multi-GPU training, AI agent frameworks, or experience with synthetic data generation
• Curious, pragmatic, and thrives in a fast-moving product environment

Why Join?

• Work on core LLM systems that move from prototype to production - fast
• Partner with senior researchers and see your work power live products