Lead AI Scientist – Real-time Sports Analytics (Hybrid)

Silicon Logic UK Ltd.; England; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Silicon Logic UK Ltd. in the United Kingdom is seeking a Senior ML Engineering Lead to drive end-to-end AI development for live sports content.

You will own technical direction, mentor data scientists, and deliver production-grade models from data ingestion through monitoring in a hybrid work setup. Requirements include 5+ years leading sports data ML systems, hands-on Python with PyTorch/TensorFlow, and strong communication with executives and cross-functional teams.

Qualifications

• 5+ years leading data science or ML teams in a production sports analytics context.
• Hands-on with event data, tracking data, or high-volume sports datasets.
• Experience turning research into production ML models and services.
• Strong Python expertise with ML/DL frameworks (PyTorch, TensorFlow).
• Proven ability to mentor Senior and Mid-Level Data Scientists and guide career development.

Responsibilities

• Lead end-to-end development of AI solutions for live sports content.
• Design models for player performance, contextual stats, and injury risk.
• Integrate model insights into personalization engines with transparent data use.
• Define experiments, lead A/B tests, and own production ML monitoring and deployment.
• Architect low-latency cloud AI systems to handle peak traffic.

Skills

Leadership

Sports data

Python

ML frameworks

MLOps

Communication

Production ML

Multi-modal data

Tools

PyTorch

TensorFlow

Scikit-learn

Job description

Silicon Logic UK Ltd. in the United Kingdom is seeking a Senior ML Engineering Lead to drive end-to-end AI development for live sports content.

You will own technical direction, mentor data scientists, and deliver production-grade models from data ingestion through monitoring in a hybrid work setup. Requirements include 5+ years leading sports data ML systems, hands-on Python with PyTorch/TensorFlow, and strong communication with executives and cross-functional teams.