Senior AI Machine Learning Engineer

Department: Data Science & Intelligence

Employment Type: Permanent - Full Time

Location: London, UK

Description

Role Overview

• 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 Lifecyecle.
• 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.

Required Skills, Knowledge and Expertise

• A Bachelor's degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics) or equivalent experience.
• Strong understanding of industry standard ML techniques (e.g. Classification, Regression, Clustering, Recommendation Systems, etc)
• Experience in applying machine learning algorithms to solve real-world problems.
• Proven experience in 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 proven track record of deploying ML models to production.
• A good command of analytical programming and visualisation languages and libraries (SQL, python and/or R, matplotlib / ggplot etc.) as well as supporting tools and platforms (e.g. git, Sagemaker, VS Code)
• 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.
• A passion for mobile gaming and a strong desire to create engaging player experiences.

• 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.
• Experience deploying real-time ML models.

Working at Tripledot

• 25 days paid holiday in addition to bank holidays to relax and refresh throughout the year.
• Hybrid Working: We work in the office 3 days a week, Tuesdays and Wednesdays, and a third day of your choice.
• 20 days fully remote working: Work from anywhere in the world, 20 days of the year.
• Daily Free Lunch: In the office you get £12 every day to order from JustEat
• Regular company events and rewards: quarterly on-site and off-site events that celebrate cultural events, our achievements and our team spirit.
• Employee Assistance Program: Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand.
• Family Forming Support: Receive vital support on your family forming/ fertility journey with our support program [subject to policy]
• Life Assurance & Group Income Cover: Financial protection for you and your loved ones.
• Continuous Professional Development
• Private Medical Cover & Health Cash Plan
• Dental Cover
• Cycle to Work Scheme
• Pension Plan