Overview Senior ML Engineer at Wallapop leads the evolution of the ML Platform and MLOps, partnering with data scientists and engineers to scale models for personalization, search, and safety. You shape the long-term ML roadmap, improve reliability, and integrate modern tools to serve millions of users. You’ll work across Data Science, Data Engineering, and DevOps in a fast-growing, Barcelona-based environment that values innovation and responsible scaling.

Compensaciones / Beneficiosphantom shares packagelearning budgetlanguage lessons (English, Catalan & Spanish)Private Health InsuranceFlexible working hours26 holidays per year ResponsabilidadesIterate and maintain the ML Platform to improve speed, reliability, and maintainabilityDefine the long-term vision and roadmap for MLOpsSupport Data Scientists with tooling for developing, deploying, and monitoring scalable modelsPromote engineering best practices (coding standards, testing,



CI/CD) within MLCoordinate with Data Engineering and DevOps to align ML with infrastructure and data governanceInvestigate and integrate new frameworks/tools (e.g., for LLMs or real-time inference) to keep stack modern Requisitos principalesProven experience building and maintaining production-ready ML platforms and pipelinesStrong knowledge of AWS (SageMaker, Lambda, S3) and KubernetesSolid software engineering background with Python, Git, and CI/CDExperience with real-time ML architectures using KafkaHands-on experience with vector databases or semantic search (OpenSearch, Vertex AI)Cross-functional collaborationAbility to explain complex technical concepts to diverse stakeholdersProblem-solving mindsetPythonGitCI/CD

📌 MLOps Engineer - barcelona
🏢 Jobrapido
📍 Barcelona