Middle Machine Learning Engineer

Aubay Portugal; Lisboa; Hybrid; EUR 42,000 - 62,000; Full time

Benefits offered by this job

Training Academy

Career advancement

Health insurance (including dental)

Mental health platform

Team events & community

Personal & family life support

Language platform with classes

Hybrid work model

Job summary

Aubay Portugal is looking for a Machine Learning Engineer to help build and evolve critical systems for large organisations in sectors such as banking and telecom. Based in Lisbon, you will work with cross-functional teams to deliver value and scale models that support millions of users.

The role emphasizes Python, ML algorithms, and hands-on experience with TensorFlow, PyTorch or Scikit-learn, with a hybrid work model and a Training Academy offering ongoing skill development and career growth.

Qualifications

• 3 years or more as a Machine Learning Engineer or in similar roles.
• Strong programming skills in Python.
• Solid understanding of machine learning algorithms, statistical modeling, and data structures.
• Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with data processing, feature engineering, and model evaluation.

Skills

Python programming

ML algorithms

Data processing

Feature engineering

Model evaluation

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

At Aubay Portugal, we work daily with some of the largest organisations across sectors such as banking, insurance, telecommunications and energy, helping to build and evolve critical systems that support millions of users. We have been in Portugal since 2007 and part of an international group with a presence in several European countries. More than technology, we build close relationships and deliver real-impact projects.

What are we looking for?

• 3 years or more as a Machine Learning Engineer or in similar roles;
• Strong programming skills in Python.
• Solid understanding of machine learning algorithms, statistical modeling, and data structures.
• Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with data processing, feature engineering, and model evaluation.

What can we offer?

• Continuous growth through our Training Academy, with technical and soft skills training, mentoring, tech communities, workshops and in-person meetups;
• Close support with regular feedback and a structured career advancement model;
• Comprehensive health insurance, including dental coverage, as well as access to a mental health platform and well-being initiatives;
• Team-oriented environment, including events and initiatives to promote connection and team spirit
• Personal and family life support, from the moment your children are born and throughout their educational path;
• Access to a language platform with conversational classes in multiple languages;
• Project-tailored work model: hybrid.

What will you find here?

• A close-knit and informal environment, where direct communication is preferred and people are valued;
• Recognition of your contribution, with initiatives that celebrate important meaningful moments;
• Freedom to be yourself, without any unnecessary formalities;
• Teams where knowledge sharing, collaboration and joint growth are a reality.

The future awaits you, and so do we.

Shall we talk?