Join Impress – Europe’s Leading Health-Tech Innovator

We're looking for a strong

Machine Learning Engineer

with 3+ years of hands‑on experience and deep fundamentals in ML algorithms and modeling. You'll design and ship models that drive decisions across our business — scoring, ranking, uplift, forecasting, recommendation, and NLP — owning each problem from formulation through production and measured impact. Our Data & ML team builds the models that power patient and operations decisions at Impress, Europe's largest orthodontic clinic chain, mining signal from patient communications. You'll have room to take these further and to open up new modeling directions as the business grows.

Why we're cool:

Work with an international and multicultural team

Competitive salary

Teeth aligner and whitening benefits

Collaborative work environment and positive culture

Opportunities to grow within a fast‑paced, innovative company and real start‑up experience with big challenges

Fresh fruits and healthy snacks at the office

What You'll Do:

Frame and solve diverse ML problems





— classification, regression, ranking, uplift / causal modeling, forecasting, recommendation, anomaly detection, and some NLP processing.

Build models across the algorithmic spectrum

— from gradient boosting and classical ML to deep learning (mostly inference) — choosing the right tool, not the trendy one.

Apply NLP / DL to unstructured data

(text, conversations, communications): classification, intent detection, embeddings, summarization, information extraction.

Design experiments and A/B tests

— define offline metrics and online success criteria, reason about baselines, causal effects, and statistical significance, and prove that models actually move the needle.

Own the full lifecycle

— data extraction and feature engineering, training and evaluation, deployment, retraining, and monitoring for drift and data quality.

Set the technical bar

— bring rigor to evaluation, guard against leakag

📌 Machine Learning Engineer (Madrid)
🏢 Impress
📍 Madrid