ML Engineer

We're hiring on behalf of a Haystack partner! The Role * Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science. * Generate actionable insights for player performance, contextual statistics, and injury risk. * Integrate model-driven insights into personalisation engines, tailoring recommendations. * Define advanced experimental designs, lead A/B testing, and establish robust MLOps practices. * Design, architect, and operate low latency, highly reliable cloud-based AI systems for live sports scenarios. What You'll Need * Extensive lead-level engineering experience delivering data-driven ML systems. * Working knowledge of modern ML techniques, including Generative AI. * Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch, TensorFlow). * End-to-end MLOps experience, including CI/CD for ML, experiment tracking, and model registries. * Proven technical leadership experience, including mentoring and guiding Senior and Mid-Level Data Scientists. What's On Offer * Opportunity to rethink how sports are experienced with an AI-driven platform. * Professional development in an innovative tech environment. * Hybrid working approach with 2 days a week onsite in Osterley office. Apply via Haystack today!