Senior Machine Learning Engineer
- 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.
- 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.
- 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 GBP 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
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