Verified Global creates cutting-edge algorithms to turn the tables in sports betting. Every hour, millions of sports fans blow hard-earned cash on suboptimal, losing bets. We are turning the tables, arming the masses with market-beating tips, insights and data to unlock better bets and greater gains, all powered by world-class in-house algorithms. Our flagship consumer product is a trailblazing platform leveraging our algorithmic and social expertise, unconstrained by any legacy engineering or design limitations. We have already experienced extremely rapid growth since launching in 2024, enabled by our industry-leading social media marketing channels where almost two million highly-engaged followers rely on our top-rated content every day. Today, we are looking for a Lead AI Engineer to join us on this fast-moving and exciting journey. Lead the Charge in AI Innovation - Architect and develop groundbreaking AI models that push the boundaries of what's possible. Design and develop cutting edge ML models for sports prediction. Bring the frontier of ML/AI research into sports by building self-learning and real-time predictive models for U.Optimise and bundle the ML models to serve thousands of predictions an hour. Contribute to strategic decisions around the future product direction (more powerful AI algorithms, valuable integrations and tools for sports fans). Deep understanding of machine learning fundamentals, enabling you to think creatively and solve complex problems. Several years of hands-on experience building AI models. Proficiency with Python. Some experience with strongly-typed languages. Proficiency with SQL-like databases and data pipelines. Proficient understanding of dataframes, and ML frameworks including Scikit-learn, Tensorflow, PyTorch, Keras. Unconstrained resources to experiment and train ML models on our cloud computing infrastructure. Best in class real-time data through our direct contracts with data-providers. A competitive salary and benefits package. Private health insurance and fitness incentives. Ample opportunity to grow and test your skills by working directly with top-tier ML, engineering, product, and design peers. Commitment from us to continued investment in your professional development.