Senior ML Engineer

Who We Are:<p></p><p></p>OpenBet is a global leader in betting and gaming entertainment, trusted by over 200 partners to create memorable winning moments for millions of players worldwide. From processing bets during iconic events like the FIFA World Cup and Super Bowl to pioneering next-gen products like BetBuilder, we continuously redefine the player experience with high-quality content, cutting-edge technology, and advanced player protection tools. For over 25 years, our unbeatable platform has powered the most recognizable betting brands, ensuring peak performance with 100% uptime, unmatched scale, and speed. With 85 licenses, 20 World Lottery Association operators on our customer roster, and a team of 1,200+ experts across 14 countries, we remain at the heart of the <span>industry. Join</span> OpenBet to take your career to the next level and be part of a global innovative team shaping the future of betting entertainment for millions worldwide.<p></p><p></p><h1><b>The Team</b></h1><p></p><p><b>OpenBet</b> is a global leader in betting and gaming entertainment, trusted by over 200 partners to create memorable winning moments for millions of players worldwide. From processing bets during iconic events like the <b>FIFA World Cup</b> and <b>Super Bowl</b> to pioneering next-gen products like BetBuilder, we continuously redefine the player experience with high-quality content, cutting-edge technology, and advanced player protection tools.</p><p></p><p>For over 25 years, our unbeatable platform has powered the most recognizable betting brands, ensuring peak performance with <b>100% uptime</b>, unmatched scale, and speed. With 85 licenses, 20 World Lottery Association operators on our customer roster, and a team of 1,200+ experts across 14 countries, we remain at the heart of the industry.</p><h1></h1><h1></h1><h1><b>The Goal</b></h1><h1></h1><p>The Data Science team is looking for a <b>Senior Machine Learning Engineer</b> that will be responsible for<b> creating pre-match and in-play sports betting forecasting models</b>.</p><p></p><p><b><span>What </span><span>you’ll</span><span> be doing</span></b><span> </span></p><ul><li><p><span><span>Work closely with stakeholders to </span><span>identify</span><span> business needs and translate them into technical solutions</span><span>.</span></span><span> </span></p></li></ul><ul><li><p><span><span>Analyse and process data from our data repositories</span><span> </span><span>to extract actionable insights.</span></span><span> </span></p></li></ul><ul><li><p><span><span>Develo</span><span>p,</span><span> </span><span>evaluate</span><span> and document</span><span> </span><span>state-of-the-art</span><span> machine learning models tailored to betting markets.</span></span><span> </span></p></li></ul><ul><li><p><span><span>Design, implement, test and document automated model pipelines using coding best practices.</span></span><span> </span></p></li></ul><ul><li><p><span><span>Build, extend, and maintain </span><span>MLOps</span><span> infrastructure to enable efficient and scalable machine learning operations</span></span><span> </span></p></li></ul><ul><li><p><span><span>Demonstrate and advocate best engineering practices throughout the software development lifecycle.</span></span><span> </span></p></li></ul><ul><li><p><span><span>Develop automated model monitoring and retraining workflows to ensure robustness and accuracy over time</span><span>.</span></span><span> </span></p></li></ul><ul><li><p><span><span>Collaborate with cross-functional teams to ensure seamless integration of solutions.</span></span><span> </span></p></li></ul><ul><li><p><span><span>Effectively convey the key principles and components underlying our models to stakeholders.</span><span> </span></span><span> </span></p></li></ul><p><span> </span></p><p><b><span><span>The</span></span><span><span> </span></span><span><span>Player</span></span><span> </span></b></p><p><b><span>What </span><span>you’ll</span><span> bring</span></b><span> </span></p><ul><li><p><span><span>An advanced degree <span>(Postgraduate/Master’s/PhD)</span> in Computer Science, Data Science, Machine Learning, or a related quantitative discipline.</span></span><span> </span></p></li></ul><ul><li><p><span><span>A minimum of </span></span><b><span>5 years of professional experience </span></b><span><span>in a relevant role (or 3+ years of experience alongside a PhD).</span></span><span> </span></p></li></ul><ul><li><p><span><span>Strong </span><span>expertise</span><span> in advanced machine learning techniques (e.g., Neural Networks, Random Forests, Support Vector Machines).</span></span><span> </span></p></li></ul><ul><li><p><span><span>Knowledge of </span></span><span><span>probabilistic modelling techniques (e.g. Probability Distributions, GLMs, Monte Carlo Simulations, Bayesian Inference, Time-Series Analysis etc.)  </span></span><span> </span></p></li></ul><ul><li><p><span><span>Proficiency</span><span> in </span></span><b>