> Markdown version of [/jobs/ext/2757026-gcp-mlops-engineer-vertex-ai-production-ml](https://www.wearedevelopers.com/jobs/ext/2757026-gcp-mlops-engineer-vertex-ai-production-ml). 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). --- # Gcp Mlops Engineer | Vertex Ai & Production Ml - **Company:** Grupo TECDATA Engineering - **Location:** Las Rozas de Madrid, Spain - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, BigQuery, DevOps, Github, Python (Programming Language), Machine Learning, Xgboost, Machine Learning Operations, Docker - **Published:** September 6, 2026 - **Apply:** https://www.buscojobs.com.es/gcp-mlops-engineer-vertex-ai-production-ml-en-girona-ID-369526058 ## About the Role Se valorará experiencia con Vertex AI, BigQuery, pipelines, versionado de modelos y despliegues reproducibles, así como conocimientos de DevOps (Docker, GitHub Actions) y herramientas de ML (LightGBM, #J-*****-Ljbffr ## Description Grupo Tecdata Engineering busca un/a Machine Learning Engineer / MLOps con experiencia en GCP, Python y desarrollo de modelos para producción.Ubicación en Las Rozas (Madrid) con modalidad híbrida: 1 día presencial por semana.Se trabajará con volúmenes de datos grandes y pipelines de datos.Se valorará experiencia con Vertex AI, BigQuery, pipelines, versionado de modelos y despliegues reproducibles, así como conocimientos de DevOps (Docker, GitHub Actions) y herramientas de ML (LightGBM, #J-*****-Ljbffr ## Related Videos - [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) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [How E.On productionizes its AI model & Implementation of Secure Generative AI.](https://www.wearedevelopers.com/videos/623-how-e-on-productionizes-its-ai-model-implementation-of-secure-generative-ai) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [LLMOps-driven fine-tuning, evaluation, and inference with NVIDIA NIM & NeMo Microservices](https://www.wearedevelopers.com/videos/1582-llmops-driven-fine-tuning-evaluation-and-inference-with-nvidia-nim-nemo-microservices) ## 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) - [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) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [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)