Principal Machine Learning Engineer – Sports AI & Personalisation
West London (Hybrid)
Freelance Contract - 6 Months (Expected Extensions)
Rates - Negotiable
What if AI could completely change how millions of fans experience live sport? We're currently partnering with a major consumer technology and media business that’s investing heavily in AI-driven sports experiences.
They’re building next-generation platforms that use machine learning, computer vision, and generative AI to transform how millions of fans engage with live sport; from real-time insights and predictive analytics to highly personalised viewing experiences.
They’re now looking for a Principal Machine Learning Engineer to play a key role in shaping the architecture, strategy, and delivery of large-scale production ML systems powering live sports environments.
This is a genuinely high-impact opportunity for someone who enjoys solving complex real-time engineering challenges while influencing technical direction across AI, data, and platform teams.
Key areas of focus include:
* Real-time sports insights & personalisation
* Computer vision & multimodal AI
* Live event detection & metadata generation
* Low-latency ML inference systems
* End-to-end MLOps & production ML
* Scalable cloud-native AI platforms
What they’re looking for:
* Strong experience leading ML engineering initiatives in sports, media, streaming, or real-time data environments
* Deep understanding of sports data and analytics
* Advanced Python skills with frameworks such as PyTorch or TensorFlow
* Proven experience in productionising ML systems at scale
* Strong knowledge of streaming architectures and low-latency systems
* Technical leadership and mentoring experience
* Ability to communicate effectively with technical and non-technical stakeholders
The environment is fast-moving, highly collaborative, and focused on building genuinely innovative consumer-facing AI products.
If you’d be interested in learning more, feel free to message me directly.