Distributed Cloud | Machine Learning Engineer
Devoteam Open · verified Oct 22, 2026 At a glance
Mid-level Machine Learning Engineering role at Devoteam. Lisboa · full-time.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build complete machine-learning workflows for model training, testing and release
- Set up automated ML delivery and tracking so models can be versioned and managed throughout their lifecycle
- Improve model speed and accuracy while keeping inference efficient at scale
- Monitor production models for drift, performance and system reliability
- Turn Data Scientists’ mathematical models into maintainable, production-ready software
What you bring
- At least three years as an ML or backend engineer, with machine-learning work as a focus
- Strong Python skills and sound software practices, including object-oriented design and clean code
- Practical use of TensorFlow, PyTorch or another listed ML framework, plus SQL and large datasets
- A degree in computer science, mathematics, engineering or another related quantitative field
- Professional written and spoken English
Who this fits
This mid-level role suits an engineer who can bridge data science and software engineering to put models into reliable production. The position is hybrid in Lisboa.
From the employer
At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organisations across EMEA, with a revenue of €1B. We believe in transforming technology to create value for our clients, partners and employees in a world where technology is developed for people. We are proud of the culture we have built together. We are proud of our people at the service of technology. We are proud of our diverse environment. Because we are #TechforPeople. Join our multidisciplinary team of Cloud experts, Designers, Business consultants, Security experts, Engineers, Developers and other extraordinary talents, spread across more than 20 EMEA countries. Become one of our +10.000 tech and business leaders on cloud, data and cyber security. Let’s fuse creativity with technology together and build innovative solutions that actively change things for the better.
As a Machine Learning Engineer, you will be responsible for building, deploying, and maintaining scalable ML solutions. You will sit at the intersection of Data Science and Software Engineering, ensuring that models move from research prototypes to reliable production systems.
Design and implement end-to-end ML pipelines for training, testing, and deployment.
Build and maintain automated pipelines (CI/CD for ML) to ensure seamless model versioning and lifecycle management.
Fine-tune model performance and ensure efficient inference at scale.
Implement observability to track model drift, performance metrics, and system reliability in production.
Work closely with Data Scientists to translate mathematical models into high-quality, production-grade code.
3+ years of professional experience as an ML Engineer or Backend Engineer with a focus on Machine Learning.
Strong expertise in Python and solid software engineering principles (OOP, Clean Code).
Hands-on experience with TensorFlow, PyTorch, or Scikit-learn.
Proficiency in SQL and experience working with large-scale datasets and data warehousing.
Familiarity with tools like MLflow, Kubeflow, or DVC for model tracking and orchestration.
Experience with Cloud platforms (AWS, GCP, or Azure) and containerization using Docker.
Degree in Computer Science, Mathematics, Engineering, or a related quantitative field.
Professional level of English (written and spoken).
Devoteam Group works for equal opportunities, promoting its employees based on merit, and actively fights against all forms of discrimination. We are convinced that diversity contributes to the creativity, dynamism, and excellence of our organization. All of our vacancies are open to people with disabilities.