Senior Machine Learning Engineer

Tripledot Studios; London; Hybrid; GBP 50,000 - 60,000; Full time

Job summary

Join a leading mobile game company as a Senior Machine Learning Engineer, where you'll advance ML projects impacting player experiences. Be part of a dynamic team, developing innovative solutions and enhancing game performance through machine learning, contributing to a growing portfolio of top-charting titles.

Benefits

25 days paid holiday

Hybrid Working: Office 3 days a week and 20 days of remote work

Daily Free Lunch (£12 a day)

Regular company events and rewards

Employee Assistance Program

Family Forming Support

Life Assurance & Group Income Cover

Continuous Professional Development

Private Medical Cover & Health Cash Plan

Cycle to Work Scheme

Pension Plan

Qualifications

• Solid production ML experience and familiarity with deployment and pipeline development.
• Proficient in Python and SQL, with strong ML and statistical knowledge.
• Experience with AWS or Google Cloud for scalable model deployment.

Responsibilities

• Research, prototype, and optimize ML models for game performance.
• Collaborate with ML team to deliver production-ready solutions.
• Enhance ML pipelines including data processing and deployment.

Skills

Python

SQL

Machine Learning

Data Manipulation

Statistical Concepts

Hyperparameter Tuning

Cloud Platforms

Problem-Solving

Communication

Job description

Join to apply for the Senior Machine Learning Engineer role at Tripledot Studios

Join to apply for the Senior Machine Learning Engineer role at Tripledot Studios

Tripledot Studios is on track to become one of the largest independent mobile games companies in the world.

We are a multi-award-winning organisation, and following our recent acquisition announcement, we’re preparing to grow into a global 2,500+ strong team across 12 studios.

Our expanded portfolio is set to include 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 remains the same: 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 & detail orientated people, who LOVE making games.

Our ambition is to become the most successful games company in the world, and we’re just getting started.

Role Overview

As a Senior Machine Learning Engineer, you'll significantly advance our machine learning, directly impacting high-profile mobile games. You'll research, prototype, develop, and deploy ML models to optimize in-game experiences like dynamic difficulty, LTV prediction, and smart ad targeting. Working in an agile team, you'll translate data into scalable solutions that boost player engagement and business performance.

This role offers a unique chance to work on impactful projects across major games, with technology autonomy. Your visible contributions will shape the future of ML here. With models already live, you'll continuously refine our AI features.

We seek a proactive, curious individual comfortable driving end-to-end projects. You need solid production ML experience, including deployment and pipeline development, plus confidence in communicating technical concepts. A passion for gaming and innovation in a collaborative setting are crucial.

Key Responsibilities:

Research, prototype, develop, and optimize ML models for game performance and player experience, exploring cutting-edge algorithms.

• Collaborate closely with the ML team to deliver scalable, production-ready solutions.
• Research, prototype, develop, and optimize ML models for game performance and player experience, exploring cutting-edge algorithms.
• Manage and enhance ML pipelines, including data processing, training, and deployment.
• Tune hyperparameters and experiment with features to maximize model accuracy and impact.
• Design, develop, and evaluate A/B teststo measure model effectiveness and optimize player experience.
• Proactively explore data to uncover actionable insights.
• Support deployment processes using CI/CD tools and cloud platforms (AWS/Google Cloud).
• Maintain and improve existing ML systems for robustness, scalability, and efficiency.
• Align ML solutions with business goals by working alongside product managers, developers, analysts, and QA.
• Clearly communicate model results and insights to stakeholders for data-driven decisions.

Skills, Knowledge & Expertise

• Strong proficiency in Python and SQL for data manipulation and model development.
• Solid understanding of ML theory and practical application.
• Strong understanding of statistical concepts (e.g., hypothesis testing, sampling, probability distributions).
• Experience with ML libraries (e.g., scikit-learn; TensorFlow or PyTorch a plus).
• Proven track record of deploying ML models to production environments.
• Experience with software development concepts including Version Control (e.g., Git), CI/CD pipelines, and containerization tools like Docker and Kubernetes.
• Experience with cloud platforms (AWS/Google Cloud) for scalable model deployment.
• Ability to work independently and manage end-to-end ML projects.
• Experience with recommendation systems, reinforcement learning, or multi-armed bandits highly desirable.
• Comfortable collaborating to translate business needs into technical solutions.
• Strong problem-solving skills with a proactive and curious approach to data exploration and model improvement.
• Experience working in a team environment, effectively sharing experiments and results.
• Ability to communicate complex technical concepts clearly to non-technical stakeholders, effectively bridging the gap between technical and non-technical teams.
• Good command of analytical programming and visualization libraries (e.g., R, Matplotlib, ggplot) and supporting tools (e.g., Sagemaker, VS Code).
• 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.
• 20 days fully remote working: Work from anywhere in the world, 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: Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand.
• Family Forming Support: Receive vital support on your family forming/ fertility journey with our support program [subject to policy]
• Life Assurance & Group Income Cover: Financial protection for you and your loved ones.
• Continuous Professional Development
• Private Medical Cover & Health Cash Plan
• Cycle to Work Scheme
• Pension Plan

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Computer Games

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