Almedia

About the Company

Almedia is defining the new standard in the $1T advertising market by rewarding user engagement. We believe that the user’s time and attention should be a compensated asset, not an exploited resource, making advertising better for both sides. To achieve this, we build the world’s most intelligent platform to discover and engage with games and brands. According to the Financial Times’ FT1000, Almedia is already the fastest-growing advertising company in Europe.

Our gamified reward system motivates users to try games or apps, but unlike traditional UA, our players continue engaging long term. Consumers receive rewards for purchases via cashback, while gamers are rewarded for completing levels with real-money rewards. Through Almedia products, app developers and brands are able to acquire new customers, promote customer loyalty, and strengthen their brand.

With a growing user base of over 60 million users, our products Freecash.com, Prizeplay, and zave.it drive unparalleled returns to over 1200 advertisers through our data-driven, rewarded User Acquisition approach. For the first time, consumers receive rewards purely for interacting with advertising and spending time on products, such as games and apps. With a 4.8* rating from over 250,000 reviews on Trustpilot, Almedia products, notably Freecash, are trusted by advertisers and consumers alike.

Contact us at partners@almedia.co to learn more about how Almedia is reshaping the way businesses connect with their audiences.

If you want to join us, visit https://almedia.co/careers. To truly redefine this market, we need a team that operates at an elite level. We expect super-high ambitious builders who thrive on tackling massive, complex problems and want to learn in 2 years what others do in 20.

Listed Jobs

Company Name

Almedia

Job Title

Machine Learning Engineer

Job Description

**Job title** Machine Learning Engineer **Role Summary** Design, develop, and scale production‑grade machine‑learning solutions that power real‑time personalization and reward systems for a high‑volume marketing platform. Own the end‑to‑end delivery chain from model design to deployment and optimization while providing technical leadership and best‑practice guidance across ML initiatives. **Expectations** - Deliver robust, high‑performance models at scale for user reward and campaign analytics. - Lead architectural decisions, code quality, and process standards for ML projects. - Actively mentor junior ML engineers and collaborate cross‑functionally with product, engineering, and data teams. **Key Responsibilities** 1. Design and implement scalable ML pipelines for personalized, real‑time reward calculations and user behavior segmentation. 2. Build, deploy, and continuously optimize models in a high‑throughput production environment. 3. Apply advanced statistical techniques (A/B testing, causal inference, regression) to validate model impact and drive insights. 4. Conduct root‑cause analysis of underperforming reward campaigns and recommend data‑driven fixes. 5. Translate business objectives into predictive analytics and actionable product features. 6. Enforce best practices for data handling, feature engineering, and code quality across the ML team. 7. Communicate results and recommendations to both technical and non‑technical stakeholders. **Required Skills** - Proven experience building and deploying ML systems at scale (adtech, gaming, or comparable high‑volume domains). - Deep knowledge of statistical analysis (A/B testing, regression, probability) and causal inference. - Strong programming proficiency in Python and SQL; hands‑on experience with cloud platforms (e.g., AWS, GCP, Azure). - Ability to mentor peers and set technical direction. - Excellent communication skills for cross‑functional influence. **Bonus Points** - Passion for gaming and understanding of player behavior, retention, and monetization KPIs (pLTV, ROAS). - Prior work in adtech, monetization platforms, or gambling industry. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field, or equivalent professional experience.

London, United kingdom

Hybrid

17-02-2026