Staff Machine Learning Engineer - Applied ML & Research

Навыки

• Airflow
• AWS
• XGBoost / LightGBM / CatBoost
• Решения на данных
• iGaming / betting
• Kafka
• Machine Learning

О компании и продукте

• We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
• Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
• Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
• At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.

Задачи

• Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems
• Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment
• Translate complex technical concepts into clear insights for both technical and non-technical stakeholders
• Set and guide technical direction across ML projects, ensuring alignment with technical best practices and business goals
• Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement

Требования

• 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 (with libraries such as PyTorch, XGBoost, and 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 experience with Large Language Models (LLMs) and other emerging ML technologies
• A track record of shipping production-level ML products and maintaining high code quality
• Excellent problem-solving skills and the ability to scope and disambiguate complex ML projects into clear, achievable milestones
• This role blends hands-on technical work with strategic thinking — you'll lead by example, contribute high-quality code, and help shape the ML roadmap through cross-functional collaboration
• What the role involves
• Identify high-impact ML opportunities and influence stakeholders to prioritise and support these initiatives
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito)

Будет плюсом

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow
• Exposure to streaming data platforms such as Kafka
• Contributions to open-source ML projects or publications in ML conferences

Условия

• 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

Паспорт вакансии

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