Top AI & Machine Learning Jobs

Develop and maintain probabilistic pricing models for real-time sports betting. Analyze large sports datasets, apply machine learning and statistical techniques, optimize model accuracy and computational performance, debug and document code, use source control, and collaborate with traders, data scientists, and developers to productionize pricing algorithms.

Lead development of probabilistic and machine-learning models for real-time in-play betting. Design, validate, optimize, and deploy scalable predictive models, collaborate with trading and engineering teams, mentor junior data scientists, and research novel approaches from academic and industry literature.

Lead design, development and support of a business-critical Verification platform, including real-time facial recognition using AI. Drive a ground-up re-architecture into Golang, React and cloud. Mentor and lead a small team, ensure high availability, code quality, solution governance, accurate estimation, and delivery from development to live.

Lead development of probabilistic and machine learning models to price real-time, in-play betting markets. Design, validate, optimize, and deploy scalable predictive models; collaborate with traders and engineers; mentor junior team members; research and implement novel academic and industry techniques to improve accuracy and computational efficiency.

Lead and build a US-based data science capability while remaining hands-on: write code, design, deploy, and maintain production ML models, mentor junior data scientists and ML engineers, establish MLOps and data-science workflows on GCP, and align initiatives with product and global teams to deliver measurable business value.

The Senior Data Scientist will lead the machine learning lifecycle, focusing on automation and impact, and applying advanced MLOps principles on Google Cloud to optimize gaming products.