Machine Learning 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.
• Influence roadmaps, architecture, and platform evolution for production ML systems.

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 Data Scientists.
• Adaptability and ability to support teams in fast-changing environments.

What's On Offer

• Opportunity to rethink how sports are experienced with an AI-driven platform.
• Professional growth in a dynamic and innovative tech environment.
• Hybrid working approach with 2 days a week onsite.

Apply via Haystack today!