Senior Engineering Manager - Machine Learning

Supersenior

In short

→Liderazgo técnico y de equipo en ML aplicado para plataformas de apuestas y juegos.
→Desarrollo e integración de modelos de IA en producción, con enfoque en personalización y detección de fraudes.
→Rol híbrido con 50% gestión de personas, 30% trabajo técnico y 20% coordinación proyectual.

Fluency in English required for collaboration with international teams.

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What they ask for

✓Experiencia comprobada como Engineering Manager en ML con 4-5 personas bajo su liderazgo.
✓Habilidad demostrable en diseño y despliegue de modelos de ML avanzados en entornos de producción.
✓Experiencia trabajando con sistemas de recomendación, detección de fraude y análisis predictivo.
✓Capacidad para equilibrar liderazgo técnico, gestión de proyectos y supervisión de equipo.
✓Conocimiento sólido de prácticas ágiles y metodologías de ML Ops.
✓Comunicación efectiva con equipos de producto, operaciones y stakeholders.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

Machine LearningDeep LearningPredictive AnalyticsReal-time RecommendationsFraud DetectionModel DeploymentML OpsData PipelinesPythonAWS

Who should you write to at Super?

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We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. We're looking for a hands-on and motivated Senior Engineering Manager for Applied Machine Learning & Research to support the development and delivery of machine learning systems at Super Technologies. By combining cutting-edge applied machine learning, foundational research, and seamless ML operations, the team harnesses data to revolutionise the online gambling and sports betting experience. From predictive analytics and personalisation to fraud detection and real-time recommendations, the team transforms complex data into actionable insights that enhance customer engagement, trust, and satisfaction. In this role, you'll split your time between technical contribution, project coordination, and people management — helping your team succeed whilst staying close to the code. What the role involves Technical expertise • Design, develop, and deploy advanced machine learning models to solve complex business problems. • Stay updated with the latest trends and advancements in machine learning and AI technologies. • Conduct code reviews and ensure best practices in model development and deployment. Project management • Manage and prioritise machine learning projects to align with business goals and objectives. • Ensure timely delivery of high-quality machine learning solutions. • Coordinate with cross-functional teams to integrate machine learning models into production systems. People management • Lead and mentor a team of 4–5 data scientists and ML engineers, providing guidance and support in their day-to-day activities. • Oversee the execution, development, growth, and performance of the ML team. • Foster a collaborative and innovative team environment whilst building strong partnerships with product management and stakeholders. What we are looking for <ul class="[li_&]:mb

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