Senior Software Engineer (Machine Learning)

Senior Software Engineer (Machine Learning) We’re helping a HFT leader (with a huge emphasis on work life balance and flexible working), specialised in turning complex sports data into actionable competitive insight that provides smarter, evidence-based decision-making. Build high performance trading and analytics platforms for the future! Essential Skills: * 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 Day-to-Day Duties: * Design, develop and analyse high-performance trading and analytics platforms * 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 Benefits: * 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 Work Location: Hybrid remote in London