
Senior Machine Learning Engineer
4 weeks ago
Senior Machine Learning Engineer – Pricing/Forecasting
Up to €100,000 + Benefits
About 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 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.
- 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.
- Mid-Senior level
- Full-time
- 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.
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