Senior Machine Learning Engineer

Role Overview

Within the various studios and other central teams, you will interact with data, engineering, and product teams. The role will directly contribute to main game KPIs such as retention, revenue, player experience, and company efficiency, accelerating time to market for new games and features.

• Implement cutting‑edge ML algorithms for personalization in gaming, staying abreast of the latest advances and testing what works best for our games.
• Design experiments and prototypes to evaluate the viability and efficiency of new AI models.
• Translate research findings into real‑world applications by creating algorithm prototypes in our codebase.
• Convert prototypes into production‑level code that can be managed and deployed through the ML lifecycle.
• Design, develop, and evaluate A/B tests to measure the effectiveness of personalization algorithms and optimize player experience.
• Continuously monitor and analyze player data to identify new opportunities for personalization and improve existing algorithms.
• Document work clearly and concisely, fostering knowledge sharing within the team.

• Bachelor’s degree or higher in a quantitative field (e.g., computer science, mathematics, statistics) or equivalent experience.
• Strong understanding of industry‑standard ML techniques, from classification to reinforcement learning and generative methods.
• Experience applying machine learning algorithms to solve real‑world problems.
• Experience with software development practices such as CI/CD, version control, containers (Docker & Kubernetes) and a proven track record of deploying ML models to production using MLOps concepts.
• Proficiency with analytical programming and visualization libraries (SQL, Python, Matplotlib, etc.) and supporting tools (git, MLflow, Kubernetes, Kubeflow, Trino, Airflow).
• Strong grasp of statistical concepts (hypothesis testing, sampling, probability distributions).
• Excellent communication and collaboration skills to bridge technical and non‑technical teams.
• Experience using generative AI copilots or agents in daily development work.
• Passion for mobile gaming and a strong desire to create engaging player experiences and drive business results.

• Experience with more complex ML techniques such as reinforcement learning.
• Experience with A/B testing methodologies in an online gaming context.
• Experience working in the games industry.

• 25 days of paid holiday plus bank holidays.
• Hybrid working: 20 days remote work and up to 20 days of mandatory office attendance.
• Regular company events and rewards celebrating achievements and team spirit.
• Private medical cover.
• Life and critical illness cover.
• Family formation support (subject to policy).
• Employee Assistance Program.
• Sport compensation.
• Meal and transport vouchers.
• English and Spanish classes.