> Markdown version of [/jobs/ext/1357212-mlops-engineer-analyst](https://www.wearedevelopers.com/jobs/ext/1357212-mlops-engineer-analyst). 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 Analyst

- **Company:** Banco Santander, S.A.
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Software Quality, Extract Transform Load (ETL), Github, Python (Programming Language), Fortify (Software), Cloudera, SONAR (Symantec), Apache Spark, Git, Pytest, Kubernetes, Information Technology, Machine Learning Operations, Terraform, Databricks, Control M
- **Published:** July 20, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

+ 2+ years of actual experience in developing and mantain productive AI applications (Required)
Education

 + University Degree in Engineering, Computer Science, Mathematics or Physics (Required)
Languages

 + English (Required)
Hard Skills

 + Python, Kubernetes and Spark (Required)
 + Experience in AWS or Azure (Preferred)
 + IaC, Terraform (Preferred)
 + MLFlow and Kubeflow (Preferred)
 + Databricks or Cloudera (Preferred)
Soft Skills

 + Develops and maintains trust based relationships.
 + Inspires others, promotes an environment that fosters trust, confidence and inclusiveness.
 + Has the charisma needed to be accepted as a leader across an organization consisting of a variety of cultures and regions.
 + Is an open and honest individual and a natural networker.
 + High levels of energy and enthusiasm.
WE VALUE YOUR IMPACT

## Description

We're shaping the way we work through innovation, cutting-edge technology, collaboration and the freedom to explore new ideas. To succeed in this role, you will be responsible for:
Develop and Maintain AI Applications:

 + Implement AI models using Python.
 + Utilize Kubernetes for deployment and management.
 + Perform ETL processes with Python and Spark.
 + Build and maintain APIs related to AI/ML.
Ensure Code Quality and build deployment pipelines:

 + Use Git and implement CI/CD pipelines using tools like GitHub Actions, Sonar, and Fortify.
 + Conduct testing with frameworks like Pytest.
 + Monitor and maintain production projects.
 + Use orchestration tools like Control-M and Airflow.
Collaborate with stakeholders:

 + Collaborate with Data Scientists, Product Owners, and CTOs.
WHAT YOU'LL BRING
Our people are our greatest strength. Every individual contributes unique perspectives that make us stronger as a team and as an organization. We're enabling teams to go beyond by valuing who they are and empowering what they bring.
The following requirements represent the knowledge, skills, and abilities essential for success in this role. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.


## Related Videos

- [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next)
- [pytest: Simple, rapid and fun testing with Python](https://www.wearedevelopers.com/videos/213-pytest-simple-rapid-and-fun-testing-with-python)
- [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94)
- [Effective Machine Learning - Managing Complexity with MLOps](https://www.wearedevelopers.com/videos/185-effective-machine-learning-managing-complexity-with-mlops)
- [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models)
- [Automagic Configuration in Python](https://www.wearedevelopers.com/videos/363-automagic-configuration-in-python)

## 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)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers)