We Are META

Based in the heart of Lisbon, We Are META is the partner you need to extend your team. We empower companies in the IT industry while treating our talent like family, ensuring career advancement but always maintaining a work-life balance.
About company

Machine learning engineer

Remote

location

date April 2, 2026

types Full-time

wage 44k-52k EUR

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Seeking a Machine Learning Engineer: Rhino, are you there?

At WE ARE META, we focus on finding the perfect match between our Rhinos and our clients.

Why join us?

  • Expand your network: As a consultant at We Are META, you’ll have access to a network of national and international partners across diverse sectors of the tech industry.
  • Enjoy our perks: When you join the crash you’ll have an array of benefits, to help you achieve the best work-life balance.
  • Get your perfect match: Our recruiters do their best to get the best position for you, whether in terms of working policy (remote, hybrid, on-site) or the company’s culture.
  • Personalized support: With our career coach, we assure that all your needs are being met and you’re being provided everything you need to excel in your professional life because the well-being of our Rhinos is our number one priority.

Perks of becoming a Rhino:

  • You’ll get a welcome kit
  • Opportunities for career progression
  • Live on the edge with our health insurance
  • Coverflex meal card
  • Other protocols and special discounts

For this position, the perfect Rhino should have the following skills:

  • More than 5 years of professional experience working as a Machine Learning Engineer or in similar ML-focused roles
  • Strong knowledge of supervised and unsupervised learning techniques, survival analysis, time series modeling, and statistical forecasting
  • Proven experience developing predictive models such as churn prediction, user journey analysis, and sales forecasting using behavioral datasets
  • Hands-on experience with leading machine learning frameworks including TensorFlow, PyTorch, and Scikit-learn
  • Practical experience in model lifecycle management, including training, version control, deployment, and performance monitoring
  • Solid understanding of MLOps principles and tools, including CI/CD pipelines, Docker, Kubernetes, Airflow, SageMaker, MLflow, feature stores, and model observability solutions
  • English level at least a B2 level
  • Availability for remote work in Portugal (requires availability to relocate within Portugal).

If you're ready to join the crash and become a Rhino, please click here and fill out the form!