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# Senior Machine Learning Engineer

- **Company:** Tripledot Studios
- **Location:** London, UK (Remote available)
- **Experience:** Expert
- **Salary:** £52,913.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Airflow, Continuous Integration, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Software Engineering, SQL Databases, Reinforcement Learning, Git, Matplotlib, Kubernetes, Information Technology, Machine Learning Operations, Software Version Control, Docker
- **Published:** July 16, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5802869597

## About the Role

* A Bachelor's degree or higher in a quantitative field (e.g., computer science, mathematics, statistics), another quantitative applied field or equivalent experience.
 * Strong understanding of industry standard ML techniques (from classification to reinforcement learning and generative methods)
 * Experience in applying machine learning algorithms to solve real-world problems.
 * Experience with software development concepts like CI/CD, Version Control, Containers (Docker & Kubernetes) and proven track record of deploying ML models to production and established MLOps concepts.
 * A good command of analytical programming and visualisation languages and libraries (SQL, python, matplotlib, etc.) as well as some of the supporting tools and platforms (e.g. git, MLFlow, Kubernetes, Kubeflow, Trino, AirFlow).
 * A strong understanding of statistical concepts (hypothesis testing, sampling, probability distributions).
 * Excellent communication and collaboration skills to effectively bridge the gap between technical and non-technical teams.
 * Experience with using generative AI copilots or agents in daily development work.
 * A passion for mobile gaming and a strong desire to create engaging player experiences and drive business results.

Bonus points if you also have:

 * Experience with more complex ML techniques (e.g. Reinforcement Learning).
 * Experience with A/B testing methodologies in an online gaming context.
 * Experience working in the games industry.

## Description

* Implement cutting-edge ML algorithms for personalization in gaming, staying abreast of the latest advancements in the field, and testing to see what works best for our games and data.
 * Designing 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 personalisation algorithms and optimise player experience.
 * Continuously monitor and analyse player data to identify new opportunities for personalisation and improve existing algorithms.
 * Document your work clearly and concisely, fostering knowledge sharing within the team.


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