Machine Learning Engineer
At a glance
Mid-level Machine Learning Engineering role at Fyld. Lisbon or Porto · full-time.
Pay not stated Machine Learning Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build, deploy and tune machine learning solutions, from models through to intelligent systems
- Create scalable ML pipelines and prepare solutions to run in production
- Connect machine learning models to APIs or backend applications
- Apply feature engineering, assess model performance and monitor models
- Process data and use SQL to support machine learning work
What you bring
- A bachelor's or master's degree in computer science, AI, data science, mathematics or a related area
- Strong Python skills and experience developing and deploying models with scikit-learn, TensorFlow or PyTorch
- Experience creating scalable ML pipelines and production-ready solutions, plus familiarity with MLOps practices
- Hands-on experience with a cloud ML platform such as Azure Machine Learning, AWS SageMaker or another listed platform
- Fluent English, along with familiarity with feature engineering, model assessment, monitoring and SQL
Who this fits
This mid-level role suits an engineer who can work autonomously and apply critical thinking to practical machine learning systems. The role is based in Lisbon or Porto, Portugal.
From the employer
Fyld is hiring: Machine Learning Engineer
At Fyld, we believe the future is built with people, technology, and strong values.
We are a Portuguese consulting company that operates with transparency, respect, and a focus on everyone’s growth.
Here, every project is an opportunity to build real, lasting, and scalable AI solutions.
Our philosophy? Code for Big Solutions — because we don’t just build models, we build intelligent systems that create real business value.
We're looking for an experienced Machine Learning Engineer with technical rigor and a passion for designing, deploying and optimizing machine learning solutions.
By joining Fyld, you'll be part of a team where every member is challenged to innovate, collaborate and grow.
Your Profile:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or related fields
- Strong programming skills in Python
- Experience developing and deploying Machine Learning models using frameworks such as scikit-learn, TensorFlow or PyTorch
- Experience building scalable ML pipelines and production-ready solutions
- Knowledge of MLOps practices and tools such as MLflow, Kubeflow or similar
- Experience with cloud ML platforms (Azure Machine Learning, AWS SageMaker or Google Vertex AI)
- Experience with Docker, Kubernetes and CI/CD pipelines is valued
- Familiarity with feature engineering, model evaluation and model monitoring
- Experience integrating Machine Learning models into APIs or backend applications
- Knowledge of SQL and data processing techniques
- Fluency in English
Our Values:
- Critical thinking and autonomy
- Focus on meaningful solutions and real results
- Respect, transparency, and continuous growth
What you'll find at Fyld:
- A collaborative team that values individual progress
- Access to continuous training and certifications
- A culture of proximity, respect, and recognition
- Challenging, purpose-driven projects where your talent as a Machine Learning Engineer has real impact
📩 Want to be part of it? Send your CV to [email protected]
Fyld. Code for what really matters.