Senior Engineer, Machine Learning Platform
The company is on a mission to pioneer the world’s next era of play. As it grows across Europe and Latin America, it is building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences.
As a Senior Engineer in the ML Platform squad, the role involves driving the development of a brand-new ML Platform for the whole Engineering organisation. This will enable the adoption of ML and AI across all teams and tribes, with the work directly impacting 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. The engineer will lead by example, contribute high-quality code, and help shape the ML roadmap through cross-functional collaboration.
- 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.
- 7+ years of professional experience as a Backend Engineer, Software Engineer, or similar role (required)
- Strong programming skills in Python (required)
- Proven experience designing and building distributed systems and APIs at scale (required)
- Hands-on experience with real-time data processing frameworks (e.g. Kafka, Flink, Spark Streaming, Pulsar) (required)
- Experience working with cloud platforms (AWS, GCP, or Azure) and containerisation/orchestration (Docker, Kubernetes) (required)
- Strong understanding of data modelling, storage systems, and streaming/processing architectures (required)
- Familiarity with ML tooling such as MLflow, ZenML, or Metaflow (required)
- Familiarity with ML model lifecycle management (training, deployment, monitoring) (required)
- Excellent collaboration and communication skills, with the ability to work cross-functionally (required)
- Experience building or working on ML platforms or MLOps frameworks (nice-to-have)
- 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
Superbet, which operates under the Super Technologies banner, is a multinational sports betting and gaming group founded in 2008 in Romania by Sacha Dragic. Headquartered in Bucharest, it began with retail betting shops and has grown into one of the leading omni-channel betting operators in Central and Eastern Europe, with a strong focus on digital products. The group employs more than 5,000 people and operates across around a dozen European markets as well as Brazil. Its offices span Romania, Poland, Serbia, the UK, the Netherlands, Belgium, Spain, Croatia, Brazil, Malta and Gibraltar.
