Machine Learning Engineer Groningen

What you bring:

• a master's degree or comparable experience within data science, machine learning, or AI
• experience with Python and SQL
• knowledge of cloud platforms such as Azure, AWS, or GCP
• experience with building and bringing models into production
• affinity with themes such as explainable AI, MLOps, anomaly detection, or for example NLP
• you speak Dutch at a minimum B2 level

You are given the space to do your work your way. We trust your expertise and ensure that you have the right people and resources around you to grow.

What you can expect:

• you will directly receive a permanent contract with a good salary
• a mobility budget or lease car that fits your way of traveling
• a laptop, phone, and home office budget so that you are also well-equipped at home
• 27 vacation days (of which 7 via the Flex Benefits budget), with the possibility to purchase up to 40 days
• a good pension scheme and collective health insurance
• access to more than 250 trainings via the Sopra Steria Academy
• the chance to be inspired through meetups, knowledge sessions, and events within and outside your field
• and fun outings with your team, from game nights to a day at Efteling

You will join the Data practice within Area North. A team where sharing knowledge happens naturally, substance comes first, and where you work together with colleagues from various expertises.

Does this job look like something for you?
Are you ready to shape the world with us? Great. We look forward to your application.

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Sopra Steria is an employer that offers equal opportunities. All qualified applicants will be considered for a job without regard to age, origin, nationality, skin color, leave for family or medical care, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political preference, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations, and ordinances. We cherish a work environment that is inclusive and respects all differences.

As a Machine Learning Engineer, you do not work with data for the sake of data, but to extract real value from it. You know: building models is one thing, ensuring they work and continue to run in practice, that is what counts.

You work on projects that matter. From hypothesis to production. You develop, test, and implement ML solutions that are actually used.

What you will be doing includes:

• You make raw data usable with smart models, pipelines, and visualizations
• You turn hypotheses into concrete experiments
• You work with modern ML tools and cloud platforms (Azure, AWS, GCP)
• You ensure that models do not just sit on the shelf, but truly run in production
• You think along with customers and development teams to make solutions scalable, maintainable, and impactful

You are curious, analytical, and know how to translate complex models into something that customers can actually use. You enjoy collaborating with others, but also take responsibility independently.