Available Jobs
at Betsson Group

The Wow As a Machine Learning Engineer, you will play a pivotal role in designing, developing, and deploying advanced machine learning models that enhance our products and services. You will collaborate with cross-functional teams to solve complex problems and drive the adoption of machine learning solutions across the organization.   A taster of what you will be involved with:    Design, implement, and optimize machine learning models to solve complex business problems. Oversee the entire machine learning lifecycle, from data collection and pre-processing to model deployment and monitoring. Work closely with data scientists, software engineers, and product managers to integrate machine learning models into production systems. Stay up-to-date

You will have full P&L responsibility for the Belgian market, driving commercial performance and customer value across online casino, sportsbook and a retail sportsbook network of more than 400 points of sale. The role requires deep gaming industry expertise, a strong product and CRM background, and the ability to operate across multiple jurisdictions. The successful candidate will be French-speaking and will work closely with central and local teams to deliver the market strategy in line with regulatory requirements. Responsibilities Lead and develop a high-performing team of local experts and professionals. Drive sustainable revenue growth and customer value through product performance, customer engagement and

The Wow As a Machine Learning Engineer, you will play a pivotal role in designing, developing, and deploying advanced machine learning models that enhance our products and services. You will collaborate with cross-functional teams to solve complex problems and drive the adoption of machine learning solutions across the organization. A taster of what you will be involved with:  Design, implement, and optimize machine learning models to solve complex business problems. Oversee the entire machine learning lifecycle, from data collection and pre-processing to model deployment and monitoring. Work closely with data scientists, software engineers, and product managers to integrate machine learning models into production systems. Stay up-to-date