Alongside

AI-powered school mental health chatbot

Machine Learning Engineer

Applied Machine LearningConfirmed live in the last 24 hours

Full-timePorto, PortugalNo salary listed

About the Job

Requirements

A degree in Computer Engineering, IT, or a related field is required.
At least 5 years of experience in Backend Engineering and/or Machine Learning Engineering is required.
Strong production-level Python development skills are required.
Hands-on experience building end-to-end machine learning pipelines and deploying machine learning models through APIs is required.
Experience with SQL/NoSQL databases, testing frameworks, and data/code quality practices is required.
Experience with MLOps tools such as MLflow, Kubeflow, or similar is required.
Strong knowledge of AWS, particularly SageMaker and related ML services, is required.
Experience with Docker and Kubernetes is required.
A strong understanding of ML model deployment and lifecycle management is required.
Fluency in English is required.

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 the platform framework.
Mentor team members and contribute to delivery in an Agile/Scrum environment.

Desired Qualifications

Experience with Computer Vision, NLP, TensorFlow/PyTorch, Scikit-Learn, Pandas, Terraform/CloudFormation, asynchronous messaging, and ML monitoring/observability tools.

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 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

About the Company

Alongside

AI-powered school mental health chatbot

Alongside.care provides AI-powered mental health support for secondary school students via a 24/7 chatbot called the llama, backed by clinicians, to supplement school counselors. The chatbot uses evidence-based tools from CBT, ACT, and DBT in the student’s native language to help them cope and solve problems, escalating severe cases to counselors during school hours and offering resources after hours. It stands out by combining clinician-informed AI with multilingual, round-the-clock support that integrates into school systems and follows clear escalation pathways. The goal is to give immediate, accessible mental health support while expanding the capacity of school counselors to improve student well-being at schools.

Company size: 11-50
Company stage: Seed
Total funding: $5.5M
Headquarters: Seattle, WA
Founded: 2022

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