> Markdown version of [/jobs/ext/308679-ml-engineer](https://www.wearedevelopers.com/jobs/ext/308679-ml-engineer). 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).

---

# ML Engineer

- **Company:** Mitiga Solutions
- **Location:** Barcelona, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Software Quality, Code Review, Continuous Integration, Data Cleansing, Python (Programming Language), Machine Learning, Modular Design, Tensorflow, Management of Software Versions, Workflow Management Systems, Graphics Processing Unit (GPU), Pytorch, Deep Learning, Git, Kubernetes, Machine Learning Operations, Data Pipelines, Docker
- **Published:** June 3, 2026
- **Apply:** https://opcionempleo.com/jobad/esfb5793336a0f6bbfe2932913baeaaaa8

## About the Role

* 5+ years of experience in machine learning / deep learning or similar roles
 * Strong Python skills and experience with PyTorch and/or TensorFlow
 * Solid software engineering fundamentals (Git, modular design, testing, code reviews)
 * Experience deploying ML workloads on cloud infrastructure (AWS and/or Azure)
 * Experience working with large-scale datasets and data pipelines
 * Comfortable working in a fast-paced, research-meets-production environment
 * Strong problem-solving skills and ownership mindset

Nice to Have

 * Previous experience with remote sensing, satellite data, or geospatial datasets
 * Experience with Docker, Kubernetes, or workflow orchestration tools
 * Familiarity with scientific or environmental datasets
 * Background in climate, earth sciences, or environmental modeling

## Description

We are looking for a mid-level to senior Machine Learning Engineer to design, build, and evolve our machine learning systems from research to production. You will work on both new and existing models, define your own technical approaches, and help shape how we develop, train, and deploy deep learning models at scale. This is a hands-on role with real influence on architecture, tooling, and best practices.
You will collaborate closely with data scientists and climate experts, but your focus will be on building solid, reproducible, and maintainable ML pipelines that run in production.
What you'll do

 * Design, optimize, and maintain deep learning pipelines for training and inference
 * Productionize research models into reliable services and batch workflows
 * Migrate and run workloads on cloud infrastructure (AWS / Azure, GPUs, containers)
 * Build reproducible ML workflows (data versioning, experiments, model tracking)
 * Work with large datasets (including geospatial and climate data) and define efficient data formats
 * Contribute to engineering best practices: code quality, testing, CI/CD, documentation.
 * Collaborate with data scientists, climate experts, and platform engineers
 * Design new modeling approaches and pipelines, not just adapt existing ones
 * Improve data preprocessing, feature generation, and dataset management for deep learning use cases.


## Related Videos

- [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning)
- [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)
- [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered)
- [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding)
- [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery)
- [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner)

## 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)
- [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)
- [A Guide to Green Tech and Green IT Careers](https://www.wearedevelopers.com/magazine/374-a-guide-to-green-tech-and-green-it-careers)
- [7 Most Popular Web Developer Jobs in Europe](https://www.wearedevelopers.com/magazine/163-7-most-popular-web-developer-jobs-in-europe)