Machine Learning Engineer

Overview

About Freeday:
At Freeday, we aim to unlock human potential by leveraging disruptive technologies and building an AI-powered digital workforce that excels in repetitive tasks. By automating these tasks, we allow people to focus on more creative, rewarding work. We are a young, fast-growing IT company with a dynamic, no-nonsense culture. Located in the heart of Rotterdam, our team is driven by innovation, collaboration, and a passion for AI’s potential to change the world.

Job Overview:
Freeday is looking for a motivated Machine Learning Engineer to join our fast-growing AI team. This is an exciting opportunity to take your career to the next level by working on innovative machine-learning solutions that power our automated services. You will be involved in the development, deployment, and optimization of machine learning models, all within a supportive environment that encourages growth and learning.

As a Machine Learning Engineer at Freeday, you’ll be surrounded by forward-thinking, innovative minds and cutting-edge AI technologies. Whether you’ve had 1 or 3 years of experience, we want someone who’s eager to learn, thrive in a fast-paced environment, and contribute to the projects that will shape the future of automation.

Responsibilities:
• Design, develop, and implement machine learning models to drive our automated services.
• Collaborate closely with product and engineering teams to define project objectives and align machine learning efforts with business goals.
• Optimize machine learning algorithms for scalability and performance.
• Contribute to the deployment of machine learning models in production environments using MLOps practices.
• Continuously learn and adapt to new machine learning techniques and tools.
• Take ownership of your projects while working in close collaboration with more senior team members for guidance and support.

What We Offer:
• A dynamic, fast-growing, and innovative work environment.
• A competitive salary and pension plan.
• Opportunities for professional development, including learning new machine learning techniques and tools.
• A fun, inclusive, and collaborative team culture with regular social events, sports activities, and team-building opportunities.
• The chance to work on impactful projects that automate workflows and unlock human potential.
• A company laptop to support your work effectively.
• Room for growth, initiative, and the chance to make a real difference within the team

Our Culture:
At Freeday, we’re not just about the work—we’re about you. We embrace a collaborative and innovative culture where ideas flow freely, and everyone is encouraged to take ownership. Whether you’re developing machine learning models or learning new skills, you’ll be part of a supportive environment where growth and personal development are key.

Requirements:
• 1-3 years of experience in machine learning or a related role, preferably in the tech sector.
• Strong programming skills in Python and a good understanding of popular ML frameworks (such as TensorFlow, PyTorch).
• Basic familiarity with cloud technologies like AWS or Google Cloud.
• Some experience or familiarity with MLOps tools like MLflow or Kubeflow is a plus.
• You enjoy tackling challenges, are not afraid to take initiative, and thrive in a fast-paced environment.
• Passionate about automation, AI, and the potential of technology to solve real-world problems.
• Great communication skills and a team-oriented mindset.

Interested?

Do you want to be part of our team? We’d love to receive your resume and a cover letter outlining your motivation and the reason you fit perfectly into our team. If you have any additional questions before applying please reach out to us on
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We’re an equal-opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

Company:

Freeday

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Industry, Machine Learning, Netherlands, NLP