Software Engineer - Real-Time Sports Data & AI

Software Engineer - Real-Time Sports Data & AI

Full-Time 50000 - 70000 Β£ / year (est.) No working from home possible
Sportradar

At a Glance

  • Tasks: Build high-performance applications for real-time cricket data and collaborate globally.
  • Company: Join Sportradar, a leader in sports technology with a world-class team.
  • Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
  • Other info: Dynamic workplace with a focus on modern engineering practices and cloud solutions.
  • Why this job: Be at the forefront of sports tech and AI development in a fast-paced environment.
  • Qualifications: Experience in software engineering and a passion for sports and technology.

The predicted salary is between 50000 - 70000 Β£ per year.

Sportradar is seeking a Software Engineer for Premium Cricket to join a world-class sports technology team.

You will contribute to building high-performance applications that process real-time data for cricket across the globe, collaborating with global teams and adopting AI-assisted development to speed delivery.

The role emphasizes modern engineering practices, cloud-first approaches with AWS, and a passion for product development trends in a fast-growing company.

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Software Engineer - Real-Time Sports Data & AI employer: Sportradar

Sportradar is an exceptional employer that fosters a dynamic and innovative work culture in the heart of Greater London. With a strong focus on employee growth, we offer numerous opportunities for professional development and career advancement within the fast-paced sports media industry. Our commitment to diversity and collaboration ensures that every team member's voice is heard, making it a rewarding place to contribute to exciting projects and build lasting partnerships.

Sportradar

Contact Details:

Sportradar Recruitment Team

We think you need these skills to ace Software Engineer - Real-Time Sports Data & AI

High-Performance Application Development
Real-Time Data Processing
AI-Assisted Development
Cloud Computing (AWS)
Modern Engineering Practices
Collaboration with Global Teams
Product Development Trends