Responsibilities
- Develop and apply advanced machine learning techniques to improve in-game personalization, evaluating performance based on real-world data and emerging research.
- Create experimental designs and build prototypes to assess the feasibility and efficiency of new artificial intelligence models.
- Bridge research and engineering by integrating validated findings into functional algorithm prototypes within the existing codebase.
- Refine proof-of-concept models into robust, maintainable production code compatible with the full machine learning lifecycle.
- Plan and execute A/B tests to evaluate personalization strategies and enhance user engagement metrics.
- Analyze player behavior data to detect patterns, uncover personalization opportunities, and refine algorithmic performance over time.
- Maintain clear and concise documentation to support team collaboration and knowledge transfer.
Compensation
Competitive salary with comprehensive benefits package
Work Arrangement
Hybrid: 3 days in office (Tuesdays, Wednesdays, plus one flexible day), 20 days remote per year
Team
Collaborative tech team focused on innovation in gaming personalization
Other
- 25 days paid holiday plus bank holidays
- Hybrid working model: office presence required on Tuesdays, Wednesdays, and one chosen day weekly
- 20 fully remote working days permitted annually
- Company-sponsored events and team rewards including Thames River Cruises, London Dungeon visits, and summer parties in Regents Park
- Access to continuous professional development programs
- Private medical insurance coverage
- Life assurance and critical illness protection
- Health cash plan benefits
- Dental insurance coverage
- Support for family forming and fertility journeys, subject to policy guidelines
- Confidential employee assistance program available 24/7
- Cycle to Work initiative participation
- Contributory pension plan enrollment
Not specified
