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Alongside

Senior Machine Learning Engineer

Alongside Porto, Portugal

Software Development · 11-50 employees

4 h ago
Remote machine-learning Senior (5-10 yrs) Full-time Portugal
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About the role

Design, develop, and maintain scalable end-to-end machine learning pipelines and services from ingestion to production. Partner with data scientists to implement MLOps best practices and ensure the reliability and performance of ML models.

What they look for

Python Machine Learning AWS SageMaker Docker Kubernetes MLOps CI/CD SQL NoSQL MLflow Kubeflow Data Engineering API Development Agile Scrum

Requirements

Requires a degree in Computer Engineering or a related field and at least 5 years of experience in backend or machine learning engineering. Candidates must have strong Python skills and hands-on experience with AWS, Docker, Kubernetes, and MLOps tools.

Benefits

Hybrid working model Collaborative and international work environment Opportunity to work on impactful software products Exposure to modern technologies

Full description

Alongside is a Portuguese company that partners with international organizations to build and scale exceptional tech teams.

We are looking for a Senior Machine Learning Engineer to join a project with one of our clients, a global leader in professional information solutions and software. Operating across more than 180 countries, the company develops technology-driven solutions for industries including Healthcare, Tax & Accounting, Financial & Corporate Compliance, and Legal & Regulatory.

Responsibilities:

  • Design, develop, and maintain scalable data and end-to-end ML pipelines, from data ingestion to production deployment.
  • Build and deploy ML services and APIs, ensuring reliability, scalability, and performance.
  • Partner with Data Scientists to transform models into robust, production-ready solutions.
  • Implement MLOps best practices, including CI/CD, testing, data/code quality, monitoring, and model lifecycle management.
  • Troubleshoot production ML systems and drive technical and architectural decisions.
  • Work with AWS ML services, particularly SageMaker, and containerized environments using Docker/Kubernetes.
  • Contribute to GenAI implementations within our platform framework.
  • Mentor team members and contribute to delivery in an Agile/Scrum environment.
  • Degree in Computer Engineering, IT, or a related field.
  • 5+ years of experience in Backend Engineering and/or Machine Learning Engineering.
  • Strong production-level Python development skills.
  • Hands-on experience building E2E ML pipelines and deploying ML models through APIs.
  • Experience with SQL/NoSQL databases, testing frameworks, and data/code quality practices.
  • Experience with MLOps tools such as MLflow, Kubeflow, or similar.
  • Strong knowledge of AWS, particularly SageMaker and related ML services.
  • Experience with Docker and Kubernetes.
  • Strong understanding of ML model deployment and lifecycle management.
  • Fluent English and strong communication and technical decision-making skills.

Nice to Have

  • Experience with Computer Vision, NLP, TensorFlow/PyTorch, Scikit-Learn, Pandas, Terraform/CloudFormation, asynchronous messaging, and ML monitoring/observability tools.
  • Hybrid working model: 2 days per week at the office (Porto);
  • Collaborative and international work environment;
  • Opportunity to work on impactful software products and transformation projects;
  • Exposure to modern technologies, tools, and development practices;
  • Opportunity to collaborate with experienced professionals across different countries and areas of expertise.

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