> Markdown version of [/jobs/ext/2893140-mlops-engineer-for-data-ai-production-on-gcp](https://www.wearedevelopers.com/jobs/ext/2893140-mlops-engineer-for-data-ai-production-on-gcp). 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). --- # Mlops Engineer For Data & Ai Production On Gcp - **Company:** Capitole - **Location:** Madrid, Spain - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, DevOps, Python (Programming Language), OpenShift, Software Engineering, Google Cloud, Kubernetes, Machine Learning Operations, Restful APIs, Docker, Jenkins - **Published:** September 14, 2026 - **Apply:** https://www.buscojobs.com.es/mlops-engineer-for-data-ai-production-on-gcp-en-alava-ID-371332783 ## About the Role El rol combina MLOps/DevOps y desarrollo de software, con foco en servicios productivos, estándares de desarrollo y calidad antes de producción.Se requiere experiencia en GCP, Python y APIs REST, así como manejo de Docker, Jenkins y Kubernetes/OpenShift. ## Description Capitole Consulting busca un/a MLOps - Software Engineer para un proyecto en el sector bancario, orientado a Data e IA.El rol combina MLOps/DevOps y desarrollo de software, con foco en servicios productivos, estándares de desarrollo y calidad antes de producción.Se requiere experiencia en GCP, Python y APIs REST, así como manejo de Docker, Jenkins y Kubernetes/OpenShift.Modalidad de trabajo híbrido en Madrid o Valladolid, con presencia en oficina 1 día/semana en Madrid y 2-3 días/semana en ## Related Videos - [The Road to MLOps: How Verivox Transitioned to AWS](https://www.wearedevelopers.com/videos/1050-the-road-to-mlops-how-verivox-transitioned-to-aws) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Effective Machine Learning - Managing Complexity with MLOps](https://www.wearedevelopers.com/videos/185-effective-machine-learning-managing-complexity-with-mlops) - [Our GitOps approach for deploying an Identity Provider and an API Gateway in a SaaS company](https://www.wearedevelopers.com/videos/776-our-gitops-approach-for-deploying-an-identity-provider-and-an-api-gateway-in-a-saas-company) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## 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) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j)