Senior Engineer, ML Platform

Senior Engineer, ML Platform - Superbet Superbet Madrid, Community of Madrid, Spain It’s an exciting time to join us We’re entering new markets, developing new technologies, and moving step by step towards our goal of exciting the world. As our business grows, the number of exciting people initiatives grows with it, and we’re looking for a new colleague to partner with our team to bring these to life. As a Senior Engineer in our ML Platform squad, you’ll drive the development of a brand-new ML Platform for the whole Engineering organization at Super Technologies. You will be enabling adoption of ML and AI across all the teams and tribes in our org, and your work will directly impact platform security, user experience, and large‑scale data‑driven decision‑making for hundreds of thousands of users daily. 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 in the organization through cross‑functional collaboration. Responsibilities Design and build scalable backend services and APIs to support ML experimentation, deployment, and monitoring. Re‑architect and rebuild existing data pipelines to handle real‑time data processing and support production ML models. Develop tools that make it easier for ML engineers to design, test, and deploy ML pipelines. Ensure platform services are robust, secure, and meet high standards for performance and reliability. Collaborate with ML engineers, data scientists, and product teams to understand their needs and translate them into platform capabilities. Drive adoption of ML best practices and promote reusability of tools across teams. Contribute to the overall architecture and vision of the ML platform, ensuring it can scale with the company’s growth. Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement. Qualifications 7+ years of professional experience as a Backend Engineer, Software Engineer, or similar role. Strong programming skills in Python. Proven experience designing and building distributed systems and APIs at scale. Hands‑on experience with real‑time data processing frameworks (e.g., Kafka, Flink, Spark Streaming, Pulsar). Experience working with cloud platforms (AWS, GCP, or Azure) and containerization/orchestration (Docker, Kubernetes). Strong understanding of data modeling, storage systems, and streaming/processing architectures. Familiarity with ML tooling such as MLflow, ZenML, or Metaflow. Familiarity with ML model lifecycle management (training, deployment, monitoring). Excellent collaboration and communication skills, with the ability to work cross‑functionally. Bonus Experience building or working on ML platforms or MLOps frameworks. About Us We are a global technology company dedicated to building the future of entertainment and fan‑centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, and Serbia, our company has evolved from a leading sports betting and gaming operator into a diversified product and tech organization, gathering more than 5,000 dedicated people across our teams. At Super, we are creating a unique entertainment ecosystem engaging millions of customers worldwide. Our product and technology teams in Amsterdam (the Netherlands), Madrid (Spain), Zagreb (Croatia), London (UK), and Bucharest (Romania) are building the playstack that will champion the future of play. Our ambitious growth strategy focuses on expanding across Europe and Latin America while delivering immersive customer experiences and creating lasting value for our customers, partners, and communities. Super is committed to the highest standards of compliance, safety, and responsibility. We are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). Superbet has balanced its growth with strong financial foundations, including a strategic minority investment from Blackstone in 2019 and a €1.3 billion refinancing agreement in 2025. #J-18808-Ljbffr