Senior Machine Learning Engineer — Hybrid (Lisbon) | MLOps

team.it; Lisboa; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Health insurance

Life insurance

Discounts and perks

Telecommunications plan

Job summary

team.it is seeking a Senior Machine Learning Engineer to join our Lisbon-based hybrid team. The role requires strong English (minimum B2) and 3-5 years of ML engineering experience.

You will design and deploy end-to-end ML solutions, collaborate with Data Scientists/Engineers, and drive MLOps practices across production systems. The position emphasizes scalability, reliability, and continuous learning, with a focus on cloud-based AI platforms and modern data pipelines.

Qualifications

• 3-5 years of proven experience in Machine Learning Engineering or related AI roles.
• Strong programming skills in Python or similar.
• Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Knowledge of data preparation, feature engineering, and model optimization.
• Experience end-to-end ML solutions for research and production.
• Hands-on experience with model deployment, APIs, and MLOps.

Responsibilities

• Design, implement, and maintain the full ML lifecycle from data prep to deployment and retraining.
• Ensure operation, monitoring, and improvement of AI solutions via MLOps practices.
• Collaborate with Data Scientists and Data Engineers to define requirements and build scalable AI solutions.
• Develop and operationalize PoC/PoV initiatives using state-of-the-art AI frameworks.
• Support deployment and maintenance of AI models in production environments for reliability and performance.
• Promote knowledge sharing and adoption of emerging AI technologies across the org.
• Drive continuous improvements in ML engineering processes, tooling, and delivery.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

MLOps

SQL

Data pipelines

DevOps

Cross-team work

Tools

Azure ML

Snowflake

dbt

Job description

team.it is seeking a Senior Machine Learning Engineer to join our Lisbon-based hybrid team. The role requires strong English (minimum B2) and 3-5 years of ML engineering experience.

You will design and deploy end-to-end ML solutions, collaborate with Data Scientists/Engineers, and drive MLOps practices across production systems. The position emphasizes scalability, reliability, and continuous learning, with a focus on cloud-based AI platforms and modern data pipelines.