Apply on company website United Kingdom Remote (Global)

Super is hiring a Staff Machine Learning Engineer - Applied ML & Research

Responsibilities

  • Identify strategic machine learning opportunities and drive stakeholder alignment to prioritize and support key initiatives
  • Design and build scalable machine learning systems, including classification, regression, and rule-based models, to address practical challenges
  • Manage end-to-end machine learning workflows, from data analysis and feature development through model training, validation, and production deployment
  • Communicate complex technical findings clearly to both technical teams and non-technical audiences
  • Define and lead technical vision for ML projects, ensuring consistency with engineering best practices and organizational objectives
  • Support and mentor less experienced engineers, promoting collaboration and ongoing skill development

Benefits

  • Health and medical insurance coverage
  • Unlimited paid time off policy
  • Employee support services for well-being and personal challenges
  • Access to professional development, training, and learning resources
  • Additional benefits may differ by location and will be detailed during recruitment

Work Arrangement

Remote (Worldwide) — Europe, Latin America

Job Details
Location United Kingdom
Work mode Remote (Global)
Department Applied ML & Research
Category Data & ML
Posted 18 hours ago
Application On company website
About company
Super logo

We pioneer the world’s next era of play.

We’re building the future playstack: the technology powering the next generation of sports, gaming and fan experiences.

Our brands include Superbet, a CEE and Latin America multichannel champion, and Napoleon Games, a Belgian multichannel leader recently entering Romania, featuring online sports and gaming, retail shops, and land-based casinos.

Through creative integrated marketing campaigns, we are closely linked with iconic sports clubs and athletes admired across the world, giving back to vibrant communities of sports fans.

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