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Senior machine learning engineer

West Town
Tripledot Studios
Machine learning engineer
Posted: 20 October
Offer description

Role Overview

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.


Responsibilities

* 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.


Qualifications

* 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.


Bonus

* 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.


Benefits

* 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.
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