Senior Machine Learning Engineer

Who we are

Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations. We specialize in data transformation and data marketing to drive tangible business results across the entire enterprise value chain.

Artefact offers the most comprehensive set of data-driven solutions per industry, built on deep data science and cutting-edge AI technologies, delivering AI projects at scale in all industry sectors. From strategy to operations, we offer an end-to-end approach and solutions: data strategy, data quality and governance, data platforms, AI Factory, data-driven customer experience and marketing ROI.

Our 1500+ employees operate in 20 countries (Europe, Asia, Americas, Middle East, Africa) and we partner with over 1000 clients, including some of the world's top 300 brands such as Samsung, L'Oréal and Sanofi.

Artefact Benelux in Utrecht is looking for an ambitious Senior Machine Learning Engineering Consultant to strengthen our Data Engineering team.

About the Role

As a Senior Machine Learning Engineer Consultant, you will be responsible for:

• Developing production-grade machine learning code, including models, features, and pipelines, ensuring scalability, real-time processing, monitoring, and retraining.


• Writing clean, readable, and reusable code while selecting the right technologies and coding methodologies based on business needs and tools.


• Collaborating with consultants, data scientists, analysts, and engineers to identify client needs and design end-to-end data solutions that drive business value.


• Communicating clearly with stakeholders.


• Continuously refining your expertise and staying up to date with the latest technologies.


• Mentoring team members on ML best practices and fostering technical excellence.

What We Are Looking For

We’re seeking someone who has:

• Fluency in English (mandatory); Dutch or French is a plus.


• A Master's degree in a technical field.


• 3+ years of relevant experience (or equivalent), applying Machine Learning to business problems.


• Excellent Python programming skills with a focus on production-grade code.


• Strong experience with SQL, pipelines, and databases.


• Hands-on experience with ML Ops and deploying models to production environments.


• Familiarity with cloud platforms such as Azure, GCP, Databricks, or AWS (Professional Certification is a plus).


• Strong communication skills to explain complex technical concepts to various stakeholders.


• A deep understanding of machine learning fundamentals, neural network architectures, and modern AI frameworks.

Why you should join us:

• Learning and Development: Join a team of passionate engineers, digital analysts and consultants always ready to help each other, providing opportunities to learn and collaborate with some of the best in the field.


• Culture of Celebration: We take pride in our work and celebrate successes together. Expect regular team events, fun activities, and a collaborative spirit that makes coming to work enjoyable.


• Competitive Rewards: We offer a comprehensive benefits package including a competitive salary, phone & travel reimbursements, remote work allowance, and a Onefit membership discount.


• Work-Life Balance: Maintain a healthy balance with a hybrid work environment that allows flexibility.


• Fuel You Day: Enjoy a delicious and healthy lunch provided daily with an extensive organic buffet.


• Weekly Unwind: Relieve stress and promote relaxation with a weekly massage session from our office physiotherapist.


• Centrally Located: Our Utrecht office is conveniently situated next to the station for easy commuting.


• Career Growth Opportunities: We're committed to your professional development. With a focus on continuous learning and internal promotions, you'll have ample opportunities to advance your career at Artefact.

Join Us Now and Be Part of the Future: Artefact is experiencing exciting growth, and this is the perfect time to join our dynamic team and contribute to our success story.

Come join us!