> Markdown version of [/jobs/ext/1604027-global-mlops-engineer-scale-enterprise-ml-platform](https://www.wearedevelopers.com/jobs/ext/1604027-global-mlops-engineer-scale-enterprise-ml-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Global Mlops Engineer: Scale Enterprise Ml Platform - **Company:** Shakers - **Location:** Barcelona, Spain - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Machine Learning, Azure Machine Learning, Kubernetes, Machine Learning Operations, Databricks - **Published:** July 15, 2026 - **Apply:** https://www.buscojobs.com.es/global-mlops-engineer-scale-enterprise-ml-platform-en-barcelona-ID-364292023 ## About the Role xqbhyrx Se requiere contar con 4-7 años de experiencia en MLOps o ML Platform Engineering, sólida experiencia en AWS, y conocimiento profundo de Kubernetes.Este rol ofrece la oportunidad de trabajar en un entorno técnico senior y tener impacto global desde el primer día. ## Description Shakers busca integrar un/a MLOps Engineer para liderar la evolución de una plataforma de Machine Learning en escala global.Consulte la descripción del puesto a continuación.Si confía en que tiene las habilidades y la experiencia adecuadas, envíe su solicitud hoy mismo.La misión incluye la construcción y mantenimiento de una infraestructura de ML robusta y escalable, así como el diseño de pipelines en Databricks y gestión de despliegues en Kubernetes.xqbhyrx Se requiere contar con 4-7 años de experiencia en MLOps o ML Platform Engineering, sólida experiencia en AWS, y conocimiento profundo de Kubernetes.Este rol ofrece la oportunidad de trabajar en un entorno técnico senior y tener impacto global desde el primer día.#J-*****-Ljbffr ## Related Videos - [Effective Machine Learning - Managing Complexity with MLOps](https://www.wearedevelopers.com/videos/185-effective-machine-learning-managing-complexity-with-mlops) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [DevOps for Machine Learning](https://www.wearedevelopers.com/videos/179-devops-for-machine-learning) - [The state of MLOps - machine learning in production at enterprise scale](https://www.wearedevelopers.com/videos/369-the-state-of-mlops-machine-learning-in-production-at-enterprise-scale) ## Related Articles - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [7 Most Popular Web Developer Jobs in Europe](https://www.wearedevelopers.com/magazine/163-7-most-popular-web-developer-jobs-in-europe) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs)