Staff Machine Learning Engineer

3 weeks ago

Dublin, Dublin City, Ireland Harnham Full time

This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Harnham

Up to €135,000 + Benefits

About the Role

Our client, one of the top players in the gaming/entertainment space, is seeking a Staff 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.
  • 3-5 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
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