Overview
Senior Machine Learning Engineer – Pricing/Forecasting
Up to €100,000 + Benefits
About the Role
Our 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 Responsibilities
* Design 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 Bring
* A 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 experience
* Strong 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 level
* Mid-Senior level
Employment type
* Full-time
Job function
* Engineering, Science, and Analyst
* Industries: Computer Games and Entertainment Providers
Note: 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.
#J-18808-Ljbffr