About the Role
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. The team harnesses data to revolutionize the online gambling and sports‑betting experience, transforming complex data into actionable insights that enhance customer engagement, trust, and satisfaction. In this role you will split your time between technical contribution, project coordination, and people management – helping your team succeed while staying close to the code.
Qualifications

Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field
Proven experience (4 + years) in machine‑learning and data‑science roles
Proven experience (5 + years) in leading or managing engineering teams, supporting the growth and performance of engineers
Strong programming skills in Python and experience with deep‑learning frameworks such as TensorFlow, PyTorch, or JAX
Experience with cloud computing platforms primarily AWS and containerisation technologies (e.g., Docker, Kubernetes)
Excellent problem‑solving skills and the ability to work independently and collaboratively
Strong communication and interpersonal skills

Preferred Qualifications

Experience in the gaming or entertainment industry
Experience with tools and technologies such as Spark, Snowflake, Qwak, MLFlow, Airflow, etc.




Contributions to open‑source AI/ML projects or participation in AI/ML competitions (e.g., Kaggle)
Experience with training and fine‑tuning large‑scale foundation models (e.g., GPT, BERT, T5) for various tasks
Publications in top AI conferences, such as AAAI, IJCAI, NeurIPS, ICML, ICLR

Responsibilities

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 while building strong partnerships with product management and stakeholders

Equal Opportunity & Diversity
We hire and grow talent based on ability and potential, regardless of background and identity because we believe diverse perspectives drive better performance.
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📌 Senior Engineering Manager - Machine Learning (Madrid)
🏢 Super
📍 Madrid