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Betsson Group

Online casino, sportsbook, and gaming operator

Machine Learning Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeMaltaNo salary listedIn-person

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Engineering, or a related field.
  • Three to five years of experience as a Machine Learning Engineer, including a track record of deploying models in production environments.
  • Experience with cloud platforms such as AWS, GCP, or Azure.
  • Ability to analyze complex data sets and derive actionable insights.

Responsibilities

  • Design, implement, and optimize machine learning models to solve business problems.
  • Oversee the machine learning lifecycle, from data collection and preprocessing through model deployment and monitoring.
  • Work with data scientists, software engineers, and product managers to integrate machine learning models into production systems.
  • Apply current advances in machine learning to improve model performance and functionality.
  • Write and maintain production-ready code for machine learning models and services.
  • Provide guidance and mentorship to junior team members.

Desired Qualifications

  • Proficiency in Python, MLflow, and Spark is considered an asset.
  • Experience with AWS SageMaker is preferred.

About the Company

Betsson Group

Online casino, sportsbook, and gaming operator

Betsson Group runs online gambling services across 20+ brands, offering casino, sportsbook and other games licensed in 22 countries. It operates on a proprietary platform that powers the core customer experience and supports brands like Betsson, Betsafe, Nordicbet, and CasinoEuro. Each brand provides gaming products through the same platform, with a focus on delivering a seamless user experience under licenses across Europe, South America, North America, and Central Asia. Compared to its competitors, Betsson Group emphasizes scale, a multi-brand strategy, and responsible operations, backed by memberships in industry groups (EGBA, ESSA, G4) and a broad geographic footprint. The company's goal is to deliver the best customer experience in the industry by offering regulated gaming responsibly across its licensed markets.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Stockholms kommun, Sweden
Founded
1963

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