OverviewSenior Machine Learning Engineer – Pricing/ForecastingUp to €100,000 + BenefitsAbout the RoleOur client, one of the top players in the gaming/entertainment space, is seeking a Senior Machine Learning Engineer to join their Pricing/forecasting team based in Dublin. This role sits at the heart of how they deliver meaningful pricing strategies across global markets - influencing both revenue and player experience at scale.You’ll be working on a strategically backed project that has full executive sponsorship, providing pricing recommendations that directly impact hundreds of millions of players and some of the world’s most recognisable gaming studios.Key ResponsibilitiesDesign and implement advanced ML models to predict demand, price elasticity, and product cannibalisation.Build forecasting algorithms and optimisation workflows (using tools like OR-Tools) to balance growth with commercial constraints.Develop clustering strategies to enable smarter pricing and promotional decisions.Lead the full machine learning development cycle — from feature engineering through to deployment, testing, and monitoring.Work with cross-functional teams in Engineering, Product and Business to translate real-world problems into scalable, ML-powered solutions.Mentor junior ML engineers and play a key role in shaping the technical direction of the team.Contribute to the broader ML strategy, including tooling, architecture, and roadmap planning.What You’ll BringA Master’s or PhD in a relevant discipline (Computer Science, Statistics, Econometrics, Operations Research, etc.).Experience leading ML product development in a commercial setting, with a focus on forecasting, pricing.1-2 years of industry experienceStrong understanding of time-series modelling, constraint solving, and pricing systems.Proven ability to deliver high-scale ML systems from idea to production in complex environments.Exceptional communication skills - able to translate complex ML outputs into meaningful business outcomes.Previous exposure to revenue management, recommender systems, or experimentation frameworks (A/B testing, uplift modelling).Familiarity with modern ML infrastructure: Databricks, Snowflake, Tecton, and cloud-based CI/CD tooling.A background in digital goods, e-commerce, or the gaming industry is a plus.Contributions to the ML community via publications, open-source, or conference talks.Seniority levelMid-Senior levelEmployment typeFull-timeJob functionEngineering, Science, and AnalystIndustries: Computer Games and Entertainment ProvidersNote: This description retains the core responsibilities and qualifications for a Senior Machine Learning Engineer focused on pricing and forecasting within a gaming/entertainment context. Other location/job postings and timestamps are omitted to keep the description focused.
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