We are currently partnering with an innovative technology company to recruit a Senior Machine Learning Engineer / MLOps Engineer. This is an exciting opportunity to join a highly skilled engineering team where you'll help build and scale production‑grade machine learning systems that solve complex, real‑world challenges using modern AI technologies.

Your Responsibilities

Design, build, and maintain end‑to‑end machine learning pipelines, from data ingestion and model training through to deployment and monitoring.

Deploy, operate, and optimise machine learning models in production environments, ensuring reliability, scalability, and performance.

Develop scalable data pipelines supporting both batch and real‑time machine learning workloads.

Build and improve ML infrastructure, automation, CI/CD processes, and operational tooling.

Collaborate closely with data scientists to productionise machine learning models and translate research into robust production systems.

Partner with software engineers to integrate ML services into larger backend platforms and applications.





Contribute to cloud‑native ML platforms using containerisation and orchestration technologies.

Drive continuous improvements to system architecture, observability, performance, and engineering best practices.

Document workflows, infrastructure, and technical solutions while sharing knowledge across the engineering team.

Your Profile

Several years of professional experience developing and operating production machine learning systems.

Strong Python programming skills with experience using frameworks such as PyTorch, TensorFlow, or JAX.

Experience deploying and managing ML models throughout the complete machine learning lifecycle.

Strong background building scalable data pipelines using technologies such as Apache Spark, Airflow, Prefect, or similar tools.

Experience working with cloud platforms including AWS, Azure, or Google Cloud Platform.

Good knowledge of Docker, Kubernetes, CI/CD pipel

📌 Senior Machine Learning Engineer (Madrid)
🏢 BAUMLINK
📍 Madrid