We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it's creating real impact. We've just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. 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 integral scale, and building something that truly matters for millions of people, every day. What you'll be doingBuild and maintain ML pipelines for training, evaluation, and deployment using tools like Databricks, MLFlow, Airflow, DBT, Sagemaker, TectonSupport AI scientist creating reproducible, containerized model training environments (on-demand and scheduled), and manage compute at scale (e.g., spot/GPU autoscaling)Define and implement observability and alerting for ML systems (model drift,



data quality, feature coverage, etc.)Design and scale data ingestion and feature transformation flows using batch (e.g., Spark/BigQuery) and streaming (Kafka or equivalent)Contribute to internal Python libraries and platform tooling that accelerate experimentation and deployment for all model teamsEnsure ML services are modular, testable, and monitored from day oneExploration and productionization of LLM-based features (e.g., retrieval pipelines, prompt evaluation, model serving)What we're looking forProven experience designing and deploying ML systems in production (5+ years in relevant roles)Proficiency in Python and SQL, and orchestration tools (Airflow, Kubeflow, Dagster, etc.)Experience with modern cloud platforms (preferably GCP or AWS), Kubernetes, and CI/CD workflowsUnderstanding of ML model lifecycles: training, validation, deployment, and monitoringStrong DevOps practices: Git, Ia

📌 Machine Learning Engineer H/F (Madrid)
🏢 Preply
📍 Madrid