Machine Learning Engineer

Machine Learning Engineer

Bridge351 Lisbon

Hybrid

Bridge351 is a tech company focused on excellence, innovation and tailored solutions, operating across Europe in areas like Cloud, Cybersecurity, Data and Advanced Development.

Expected experience: More than 3 years of experience in the Machine Learning field. English proficiency should be at least B2 level. Work model: 2 days per week in the office in Lisbon

What You'll Own Deployment pipeline execution Production model management Monitoring and alerting Production performance optimization Retraining automation initiatives

Key Responsibilities

• Productionize ML models — reliably deploy models developed by data scientists into production environments.

• Build and maintain deployment pipelines — develop and support ML-focused CI/CD pipelines.

• Monitor models in production — track performance, failures, and key metrics, implementing basic alerting where needed.

• Write quality, maintainable code — produce clean, structured, testable Python code aligned with team standards.

• Collaborate cross-functionally — work closely with data scientists and data engineers on model deployment and data transformation initiatives.

• Optimize performance — improve model response times and operational efficiency in production environments.

• Technical Skills

• Familiarity with AWS, GCP, or Azure for running and integrating ML workloads

• Experience building and maintaining CI/CD pipelines using tools such as GitHub Actions or Jenkins

• Strong Python skills, including project structuring, reusable and testable code, object-oriented programming, design patterns, and testing frameworks (pytest/unittest)

• Strong SQL skills for querying and manipulating data in support of model development

• Understanding of MLOps fundamentals, including Git versioning, pull requests, code reviews, and ML-specific versioning practices

• Experience with core ML frameworks, including TensorFlow, PyTorch, and Scikit-learn

• Experience deploying models with Docker or Kubernetes, including an understanding of model optimization and compression

• Familiarity with building model-serving APIs using FastAPI or Flask

• Nice to have: Basic knowledge of Java or Scala for integrating with existing systems

• Professional Skills

• Strong collaborator who works effectively with data scientists and engineers to align models, data, and operations

• Proactive communicator who clearly shares progress, blockers, and support needs

• Solid problem-solver capable of handling moderately complex technical challenges with appropriate guidance

• Takes ownership and accountability for operational deliverables, including pipelines, deployments, and production fixes

• Learns quickly and adapts based on technical feedback and evolving best practices

• What can you expect from us?

• Mind-blowing workplace culture. You will be integrated in a professional, dynamic and collaborative team.

• 100% Remote opportunities

• We want you to have the flexibility to work where you feel most comfortable and productive.

• International Career

• You can expect professional growth and to be connect with the world.

• We are represented in Portugal, Belgium, Luxembourg, and Denmark.

• And with projects in many other countries: Netherlands, Luxembourg, Singapore and in the United States of America (and a lot more is coming…)

• Extra Benefits & Perks

• If you wish to work with us and you are outside European Union, we are a Tech Visa Company, We will help!

• As a plus, we provide Health and Life Insurance.

• Locations

• Bridge351 Lisbon

• Remote status

• Hybrid

• Bridge351 Lisbon

• Bridge351 is a tech company focused on excellence, innovation and tailored solutions, operating across Europe in areas like Cloud, Cybersecurity, Data and Advanced Development.