Senior Machine Learning Engineer

Company Overview

Tripledot is one of the largest independent mobile games companies in the world. We are a multi‑award‑winning organisation, with a global team of over 2,500 people across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others. We’re building a company we’re proud of – one filled with driven, incredibly smart and detail‑oriented people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we’re just getting started.

Job Overview

Department: Operations
Location: London, UK

The role is working within our AI group. The AI group works with all studios under Tripledot, engaging with Data teams, Products teams, and Engineering teams. Working within a group function that is aimed to work with all group studios. Within the group AI functions you’ll be working with other AI/ML Engineers, Data engineers, analysts and product owners. Within the various studios you will interact with data, engineering, and product teams. The group AI function’s goal is to make Tripledot an AI‑first company. You’ll be reporting into the VP of AI. The role will directly contribute to main game KPIs such as retention, revenue, player experience, as well as to company efficiency and time to market in developing games and features. Progression opportunities will be within the AI group or to studios in the group. The first initiative you’ll be taking part of is LTV predictions both for Ad based revenues and IAP based ones.

Key Responsibilities

• 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.
• Design 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 personalization algorithms and optimize player experience.
• Continuously monitor and analyze player data to identify new opportunities for personalization and improve existing algorithms.
• Document your work clearly and concisely, fostering knowledge sharing within the team.

Required Skills, Knowledge and Expertise

• A Bachelor's degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics) or equivalent experience.
• Strong understanding of industry standard ML techniques (e.g. Classification, Regression, Clustering, Recommendation Systems, etc).
• Experience in applying machine learning algorithms to solve real‑world problems.
• Proven experience in coding algorithms from research papers into production‑ready code (Python preferred).
• Experience with software development concepts like CI/CD, Version Control, Containers (Docker & Kubernetes) and a proven track record of deploying ML models to production.
• A good command of analytical programming and visualization languages and libraries (SQL, Python and/or R, matplotlib / ggplot etc.) as well as supporting tools and platforms (e.g. Git, SageMaker, VS Code).
• 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.
• A passion for mobile gaming and a strong desire to create engaging player experiences.

Bonus Points

• Experience with more complex ML techniques (e.g. Reinforcement Learning).
• Experience with A/B testing methodologies in an online gaming context.
• Experience working in the games industry.
• Experience deploying real‑time ML models.

Working at Tripledot

• 25 days paid holiday in addition to bank holidays to relax and refresh throughout the year.
• Hybrid working: We work in the office 3 days a week, Tuesdays and Wednesdays, and a third day of your choice.
• Remote working: Work from anywhere in the world, in addition to the hybrid policy, 20 days of the year.
• Daily free lunch: In the office you get £12 every day to order from JustEat.
• Regular company events and rewards: quarterly on‑site and off‑site events that celebrate cultural events, our achievements and our team spirit.
• Employee Assistance Program
• Family Forming Support
• Life Assurance & Group Income Cover
• Continuous Professional Development
• Private Medical Cover & Health Cash Plan
• Dental Cover
• Cycle to Work Scheme
• Pension Plan

Role Details

• Seniority level: Mid‑Senior level
• Employment type: Full‑time
• Job function: Engineering and Information Technology
• Industries: Computer Games