As a category-defining company, we're shaping what the future of learning looks like at global scale.
Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at general scale, and building something that truly matters for millions of people, every day. As ML and GenAI become increasingly central to our product, marketplace, and operational systems, we're looking for a Staff ML Ops Engineer to define and evolve the platform that enables machine learning at company scale.
This is a senior technical leadership role for an engineer who can combine deep hands-on expertise with platform vision. You will help define the current and future direction of Preply's ML platform, set technical standards, and design the systems that allow ML teams to move from research to production quickly, safely, and cost-efficiently.
You'll partner closely with Applied Science, Data, Product, and Engineering leadership to build a scalable, secure, and observable ML platform that powers multiple business lines.



Preply's next stage of growth depends on making AI a scalable company-wide capability, not a collection of isolated models and experiments. You'll shape the platform that powers personalized learning, smarter experiences for tutors and learners, marketplace intelligence, content generation, automation, and future GenAI products. The goal is to make it dramatically easier for teams to turn ML ideas into reliable, secure, cost-efficient product experiences at a global scale.
Lead the architecture of platform capabilities across the full ML lifecycle: experimentation, feature engineering, artifact management, training, deployment, monitoring, retraining, and governance.
Design cloud-native infrastructure for distributed training and inference, including GPU-based environments, autoscaling, workload isolation, rollout strategies, and cost optimization.
Set the technical direction for CI/CD for ML, embeddi

📌 Staff Machine Learning Ops Engineer (Cataluña)
🏢 Preply
📍 Cataluña