Senior Machine Learning Engineer

Tripledot is a leading independent mobile game company with over 25 million daily active users worldwide. We are building a company we are proud of.

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• Implement cutting‑edge ML algorithms for personalization in gaming and test 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 work clearly and concisely, fostering knowledge sharing within the team.
  

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• A Bachelor's degree in a quantitative field (Computer Science, Mathematics, Statistics) or equivalent experience.
  
• Strong understanding of industry standard ML techniques (Classification, Regression, Clustering, Recommendation Systems, etc.).
  
• Experience applying machine learning algorithms to solve real‑world problems.
  
• Proven experience 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 deploying ML models to production.
  
• Strong analytical programming and visualization skills (SQL, Python, R, matplotlib/ggplot).
  
• Strong understanding of statistical concepts (hypothesis testing, sampling, probability distributions).
  
• Excellent communication and collaboration skills.
  
• A passion for mobile gaming and a desire to create engaging player experiences.
  

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• Experience with more complex ML techniques (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.
  

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• 25 days paid holiday plus bank holidays.
  
• Hybrid working: office 3 days a week (Tues/Wed) and a day of choice.
  
• Fully remote working: 20 days a year.
  
• Daily free lunch: £12 for JustEat orders in office.
  
• Company events and rewards: quarterly on‑site and off‑site events.
  
• Employee Assistance Program: confidential support.
  
• Family forming support: vital support on family forming/fertility journey (subject to policy).
  
• Life assurance & group income cover.
  
• Continuous professional development.
  
• Private medical cover & health cash plan.
  
• Dental cover.
  
• Cycle to work scheme.
  
• Pension plan.