Principle Machine Learning Engineer

Principle Machine Learning Engineer Contract Pay DOE Hybrid 2x a week on site Most sports data is reactive - stats after the moment’s gone. This role is about building systems that generate real-time insights during live sport. Why This Role? • Leading global streaming / sports platform • Real ownership of ML systems at scale (millions of users) • Solving complex real-time + low latency AI problems The Company / Product You’ll be working on a cutting-edge platform transforming how fans experience live sport using AI to deliver personalised insights, predictions, and real-time data during live events. What You’ll Be Working On • Leading development of ML systems for live sports insights + personalisation • Building solutions across Computer Vision, ML, and Generative AI • Turning live video + sports data into real-time predictions and insights • Designing low-latency, high-scale ML systems in production • Driving end-to-end MLOps (CI/CD, monitoring, retraining, deployment) • Integrating ML outputs into personalisation engines • Owning experimentation, A/B testing, and performance metrics • Mentoring engineers and setting technical direction across teams Tech Stack • Python • PyTorch / TensorFlow • MLOps (CI/CD, model monitoring, retraining pipelines) • Real-time / streaming systems • Cloud-based ML infrastructure What You’ll Bring • Strong experience building production ML systems at scale • Experience working with real-time or streaming data • Deep understanding of sports data (event, tracking, or video) • Hands-on experience taking models from research → production • Strong technical leadership and mentoring experience Ideal Profiles • Principal / Staff ML Engineers in streaming, sports, or media • ML Engineers from real-time / low-latency environments • Engineers working on computer vision, personalisation, or live data systems (This isn’t a research role — it’s production, scale, and real-world impact) No need for a perfect CV if you’ve built ML systems that run in production, let’s talk. I can get you directly in front of the team quickly.