Machine Learning Engineer

🚀 Machine Learning Engineer - FERO

Empower Data, Drive Impact, and Build the Future of ML in Madrid!

Are you passionate about uncovering insights from data 📊 and building machine learning models 🤖 that deliver real-world impact? At FERO, we’re looking for a Machine Learning Engineer excited to own the full ML lifecycle—from data exploration and feature engineering to deploying, scaling, and maintaining models in production. If you’re a strong coder 💻 with a problem-solving mindset 🧠 and enjoy working in cloud-based environments ☁️, this role is for you!

We're FERO, a cutting-edge startup transforming the customer checkout and payment journey 💳 to drive up conversion rates 📈 and revenue 💵. Backed by top VCs, we offer competitive pay and employee equity because we believe in shared success. Our awesome Tech hub in central Madrid 🇪🇸 fosters a fun, creative, and collaborative culture 🎉.

🔍 End-to-End Model Development – Dive into data exploration, uncover valuable insights, and engineer meaningful features. Design, develop, and train machine learning models to drive insights and enhance user experiences.

🚀 Production Deployment – Deploy models into production, ensuring they’re scalable, robust, and optimized for real-time performance.

⚙️ MLOps & Infrastructure – Build and maintain reliable workflows to deploy, monitor, and manage models smoothly and efficiently.

☁️ Cloud-Based Engineering – Work extensively with AWS and other cloud services to develop, deploy, and manage models at scale.

🤝 Collaborate – Work closely with cross-functional teams to understand business requirements and deliver ML solutions that add value.

💡 Innovation – Stay ahead of industry trends and implement best practices to continuously improve our ML infrastructure.

🚀 Innovative Environment – Work on cutting-edge solutions in a greenfield setting.

📈 Growth Opportunities – Join us early and grow with us professionally and personally.

🤗 Collaborative Culture – Be part of a friendly, creative, and supportive team.

🏡 Flexible Work – Hybrid model—3 days in office, 2 days WFH.

💰 Competitive Compensation – Great pay, employee equity, and private health insurance partially sponsored by FERO.

You’re not just a machine learning enthusiast—you’re a builder, a problem-solver, and someone who loves seeing models in action, delivering real business value. Here’s what you’ll bring to the table:

✅ Full Lifecycle ML Experience – Strong background in developing, deploying, and maintaining machine learning models from start to finish, particularly for classification tasks.

🔎 Data Exploration Passion – You enjoy digging into data, uncovering patterns, and engineering features that drive model performance.

💻 Software Engineering Mindset – Whether from formal training or practical experience, you understand software engineering principles and write clean, efficient, and maintainable code.

🐍 Proficiency in Python – You’re highly skilled in Python and familiar with common machine learning frameworks and libraries.

⚙️ MLOps Awareness – Comfortable setting up workflows to deploy, monitor, and manage models in production environments.

☁️ Cloud Experience – Hands-on experience working in cloud environments, with exposure to deploying models in scalable, cloud-based architectures.

🛠️ Microservice Architecture (Plus) – Experience working with cloud-based microservice architectures is a plus.

💬 Collaborative & Communicative – You’re a team player who can translate complex technical concepts into actionable insights for non-technical stakeholders.

✅ Eligible to Work in Spain 🇪🇸

Excited to make a difference? Send us your English CV 📄 and let's get started on this amazing journey together! 🚀