At a Glance
- Tasks: Tackle challenging ML problems and drive impactful solutions at Almedia.
- Company: Join Almedia, Europe's #3 fastest-growing company, aiming for unicorn status.
- Benefits: Enjoy a generous bonus scheme, career growth, and a supportive work environment.
- Other info: Passion for gaming and experience in adtech are a plus!
- Why this job: Make a real impact in a high-growth startup while working with cutting-edge technology.
- Qualifications: Strong ML expertise, Python and SQL mastery, and excellent communication skills.
The predicted salary is between 70000 - 90000 £ per year.
This isn’t your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We’re aiming to become Germany’s second bootstrapped unicorn. Almedia is already Europe’s #3 fastest-growing company in 2025 (FT1000). We are building the future of marketing by rewarding our community of over 70 million users for engaging with our advertisers’ products. We are offering a new way to acquire users for the biggest companies in the world.
You'll take ownership of the hardest ML problems across Almedia's products and growth. This is a hands‑on role for someone who identifies what matters most, sets the technical direction, and drives it end to end with minimal oversight.
Types of problems you'll be solving:
- Designing and owning the strategy for user reward schemes at scale, across behaviour signals and market dynamics
- Architecting real-time personalisation systems for reward values that operate at production scale
- Defining how we detect and diagnose underperforming campaigns, and building the systems that act on it
Your role:
- Own end-to-end delivery of high-impact ML systems: from problem framing through to production and iteration
- Set the technical bar for ML across the org, establishing best practices and raising the quality of decisions
- Define where ML creates the most business value and align the roadmap accordingly
- Apply advanced statistical and causal inference methods with rigour and production-readiness
- Partner with product and engineering leadership to shape how technical capability maps to strategic priorities
You have:
- A strong track record of taking ambiguous, high-impact problems from first principles to production independently
- Deep expertise in statistics, causal inference, and experimentation at scale
- Mastery of Python and SQL, with extensive hands‑on cloud and production systems experience
- A history of setting technical direction and raising the bar for engineering teams around you
- The communication range to influence both engineers and senior business stakeholders
Bonus points for:
- Passion for gaming and a strong intuition for player behaviour
- Experience in adtech, monetisation platforms, or the gambling industry
- Familiarity with gaming KPIs such as pLTV, retention, and ROAS
Why Almedia?
- Scale With Almedia: Have a real impact and grow alongside a startup that has been profitable from day one.
- High‑Growth Environment: We encourage all staff to take ownership of projects and consistently raise the bar.
- Do More, Get More: Generous bonus scheme to ensure great, proactive work is valued.
We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply.
Principal Machine Learning Engineer employer: ALmedia
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