Senior Machine Learning Engineer

Salary: £35,000 - 70,000 per year

Requirements:

• Hands-on experience training and evaluating tabular models using neural networks or gradient-boosted trees; relevant tools may include PyTorch, PyTorch Lightning, TensorFlow, XGBoost, CatBoost or scikit-learn.
• Experience designing features and labels, selecting metrics suited to a models decisions, and assessing when offline results warrant an A/B test.
• Proficiency in SQL and 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.
• Ability to explain model results to monetization and product partners in terms of revenue and player outcomes.
• Experience in ad tech, recommender systems, online marketplaces, production APIs, ML model deployment or the Ray framework would be useful, but is not required.

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.
• Monitor live model performance across games and products; investigate data and concept drift, including shifts related to new titles, client versions or user behaviour, and make models easier to extend to other products.
• Diagnose missed model outcomes across the training pipeline, business logic and underlying data, then implement improvements to restore model quality.
• Work with monetization and product colleagues to connect model decisions to revenue and player outcomes and help plan A/B tests.
• Identify gaps in the teams understanding of the models and propose improvements to their direction.
• Use AI-assisted development tools, including code assistants and LLM-based copilots, to accelerate implementation, debugging and iteration while maintaining production-quality standards.
• Critically review and validate AI-generated code, model implementations and infrastructure configurations for reliability, correctness and maintainability, and explore AI-powered approaches to improve developer productivity or ML platform capability.

Technologies:

• AI
• Support
• LLM
• Machine Learning
• Mobile
• PyTorch
• SQL
• TensorFlow

More:

We are Tripledot Studios, one of the worlds largest independent mobile games companies, with a multi-award-winning global team of more than 2,500 people across 12 studios. Our portfolio includes major mobile gaming titles that reach top chart positions worldwide and engage more than 25 million daily active users. We aim to build the worlds most successful games company with driven, detail-oriented people who love making games. In this Senior Machine Learning Engineer role, youll work on dynamic pricing and recommender systems in our games, focusing on tabular machine learning, data, features and model improvement. Youll collaborate with monetization and game product teams on near-term ML goals, A/B tests and longer-term objectives. We offer 25 days of paid holiday in addition to bank holidays, hybrid working and 20 days of remote work from anywhere in the world, plus a daily free lunch when working in the office. Benefits also include company events and rewards, an Employee Assistance Program, family-forming support subject to policy, life assurance and group income cover, continuous professional development, optional private medical cover and health cash plan, optional dental cover, a Cycle to Work Scheme and a pension plan with qualifying earnings or an optional 4% contributory match.

last updated 40 week of 2026