machine learning engineer for online gaming platforms

Super is a global technology group building technology for sports, gaming, entertainment, and fan-centric experiences. Its platform supports immersive, responsible, and personalised experiences for millions of customers worldwide.

• Identify high-impact ML opportunities and influence stakeholders to prioritise and support them
• Design and develop scalable machine learning models, including classifiers, regressors, and rule-based systems
• Own the full ML lifecycle, from data exploration and feature engineering through model training, evaluation, and deployment
• Explain complex technical concepts to technical and non-technical stakeholders
• Set and guide technical direction across ML projects, aligning with technical best practices and business goals
• Mentor junior engineers and promote knowledge sharing and continuous improvement

• Master’s degree or equivalent in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field
• 7+ Years of industry experience building and deploying ML models at scale
• Proven ability to lead cross-functional technical initiatives and influence engineering strategy
• Proficiency in Python, PyTorch, XGBoost, Scikit-learn, and SQL
• Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar
• Deep understanding of machine learning fundamentals, including Large Language Models (LLMs) and emerging ML technologies
• Track record of shipping production-level ML products and maintaining high code quality
• Strong problem-solving skills and ability to scope complex ML projects into clear, achievable milestones
• Будет плюсом: familiarity with MLflow, ZenML, or Metaflow, hands-on experience with AWS services such as EC2, EKS, CloudFormation, or Cognito, exposure to Kafka, contributions to open-source ML projects, or publications in ML conferences

• Medical / Health Insurance
• Open Annual Leave
• Employee Assistance Programme
• Training & Learning Development
• Additional benefits vary by country and will be shared during the hiring process