About the Position

Senior Machine Learning Engineer

Location: London, United Kingdom

About the Company

Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organization with a global team of over 2,500 employees across 12 studios. Our portfolio includes some of the biggest titles in mobile gaming, engaging over 25 million daily active users. Our guiding principle is that when people love what they do, what they do will be loved by others.

Role Overview

Join Tripledot Studios as a Senior Machine Learning Engineer working on dynamic pricing and recommender systems use cases in our games. The work involves tabular machine learning, including neural networks and approaches such as gradient-boosted decision trees. You'll focus on understanding the data, developing features, and improving the models, rather than primarily owning production deployment.

You'll work toward defined near-term ML targets, collaborating with the monetization team and game product teams to plan A/B tests. Over the longer term, you'll work with those teams to translate product and monetization requirements into ML objectives.

Responsibilities

Build and improve training pipelines for dynamic pricing and recommender system models, from feature and label design through training, tuning, and offline evaluation of tabular models such as neural networks and gradient-boosted trees.
Monitor model performance once models are live across games and products. Investigate data and concept drift, including shifts tied to new titles, client versions, or user behavior, and make models easier to extend to another product.
Diagnose missed model outcomes across the training pipeline, business logic, and underlying data, then work through the improvements needed to restore model quality.
Work with monetization and product colleagues to connect model decisions to revenue and player outcomes, and help plan the A/B tests that inform what ships.
As you get up to speed, identify gaps in the team's understanding of the models and propose improvements to their direction.

Requirements

Core Skills:
- Hands-on training and evaluation of tabular models, using neural networks or gradient-boosted trees. Experience with PyTorch, PyTorch Lightning, TensorFlow, XGBoost, CatBoost, or scikit-learn could all be relevant; no single framework is required.
- Experience designing features and labels, choosing metrics for the decision a model makes, and judging when offline results warrant an A/B test.
- Proficiency in SQL and the ability to write efficient queries to extract, manipulate, and aggregate data from relational databases.
- An investigative approach to incomplete data and longer-term requirements that need clarification.
- The ability to explain model results to monetization and product partners in terms of revenue and player outcomes.
Nice to Have:
- Experience in ad tech, recommender systems, or online marketplaces would be useful, as would experience with production APIs or deploying ML models. Experience with the Ray framework would also be a plus. None of these is required for the role.
- Uses AI-assisted development tools, including code assistants and LLM-based copilots, to accelerate implementation, debugging, and iteration of machine learning systems while maintaining production-quality standards.
- Critically reviews and validates AI-generated code, model implementations, and infrastructure configurations for reliability, correctness, and maintainability, and explores AI-powered approaches to improve developer productivity or ML platform capability.

We Offer

25 days paid holiday in addition to bank holidays
Hybrid Working: 20 days remote working
Daily Free Lunch: £12 every day to order from JustEat when in the office
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 (opt-in)
Dental Cover (opt-in)
Cycle to Work Scheme
Pension Plan

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Senior Machine Learning Engineer

Job description