Senior Machine Learning Engineer

Tripledot Studios

Senior Machine Learning Engineer at Tripledot Studios working on AI for gaming. Implementing ML algorithms and collaborating with various teams to enhance player experience and company efficiency.

Posted 7/27/2026full-timeRemote • 🇪🇺 Anywhere in EuropeSeniorWebsite

Tech Stack

Tools & technologies

AirflowDockerKubernetesPythonSQL

About the role

Key responsibilities & impact

Implement cutting-edge ML algorithms for personalization in gaming, staying abreast of the latest advancements in the field, and testing to see what works best for our games and data.
Designing experiments and prototypes to test 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 easily managed and deployed through the ML Lifecycle.
Design, develop, and evaluate A/B tests to measure the effectiveness of personalisation algorithms and optimise player experience.
Continuously monitor and analyse player data to identify new opportunities for personalisation and improve existing algorithms.
Document your work clearly and concisely, fostering knowledge sharing within the team.

Requirements

What you’ll need

A Bachelor's degree or higher in a quantitative field (e.g., computer science, mathematics, statistics), another quantitative applied field or equivalent experience.
Strong understanding of industry standard ML techniques (from classification to reinforcement learning and generative methods)
Experience in applying machine learning algorithms to solve real-world problems.
Experience with software development concepts like CI/CD, Version Control, Containers (Docker & Kubernetes) and proven track record of deploying ML models to production and established MLOps concepts.
A good command of analytical programming and visualisation languages and libraries (SQL, python, matplotlib, etc.) as well as some of the supporting tools and platforms (e.g. git, MLFlow, Kubernetes, Kubeflow, Trino, AirFlow).
A strong understanding of statistical concepts (hypothesis testing, sampling, probability distributions).
Excellent communication and collaboration skills to effectively bridge the gap between technical and non-technical teams.
Experience with using generative AI copilots or agents in daily development work.
A passion for mobile gaming and a strong desire to create engaging player experiences and drive business results.

Benefits

Comp & perks

Time Off: Statutory Time Off policy for location in addition to bank holidays to relax and refresh throughout the year.
Health & Wellness: Based on country requirements. Private Healthcare or Healthcare stipend subject to eligibility.
Continuous Professional Development: Propel your career with continuous opportunities for professional development.