# Senior Machine Learning Engineer

> Alongside · Porto, Portugal (Hybrid) · Full-time · Posted 2026-09-17

**Workplace:** hybrid

**Department:** Wolters Kluwer

## 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**.

## Requirements

-   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.

## Benefits

-   **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.

## Apply

[Apply at Alongside](https://apply.workable.com/alongside-team/j/25BB23A5AB/apply)

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