Senior Software Engineer (Machine Learning)

• Work with quant teams to convert prototype models into scalable production systems
• Build and maintain data pipelines, research tooling and modelling frameworks
• Optimise systems for low latency, scalability and reliability
• Contribute to internal research projects exploring new metrics, analytical methods and innovative applications of sport data

• Strong programming exposure with Python (NumPy, SciPy)
• Experience working with large datasets, numerical computing or distributed systems
• Understanding of high-performance computing concepts such as multithreading, tabular data modelling and optimisation
• Strong problem-solving mindset with an analytical, systems-focused approach

Bonus skills:

• Exposure with C++
• Experience with statistical mathematical methods, sports modelling and machine learning, with the ability to apply them to real-world sporting problems

• An impact from day one
• Shape the future of sports trading technology
• Creative freedom to experiment and innovate
• Supportive, collaborative culture that encourages learning and growth
• A vibrant team culture with a shared passion for sports
• Access to the latest tools and technologies
• Collaborative, flexible, remote first & hybrid working models
• Industry leading packages (competitive salary & bonus), plus an endless list of benefits.

Pay: £80,000.00-£160,000.00 per year