---
title: 'Machine Learning Engineer at Almedia'
canonical: 'https://feeny.ai/job/machine-learning-engineer-almedia-london-weeysh0bpyzw'
type: 'job'
last_seen: '2026-09-10'
---

# Machine Learning Engineer at Almedia

- **Company:** Almedia
- **Location:** London, United Kingdom
- **Compensation:** £130k–£230k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-06-21
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/almedia/7ae02471-40ff-4e0f-807a-8227a49fcaaa/application

**Skills:** Python, SQL, Statistics, A/B testing, Regression, Probability, Cloud computing, Adtech, Monetisation platforms, Gambling industry, Gaming KPIs, pLTV, Retention, ROAS

> Design, develop, and scale production-grade ML solutions for user reward schemes and personalized real-time values. Lead end-to-end delivery, apply statistical and causal inference methods, and partner with product teams to drive growth in a high-scale adtech environment.

## Job description

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.

Machine Learning Engineer

## Why Almedia

Our team has a track record of shipping ML that moves the business, not research for its own sake. Almedia runs Freecash, a rewards platform with ~80 million users, profitable since day one and currently the #3 fastest-growing company in Europe. We operate lean: a small data/ML org, a direct line from what you build to what the company earns, and plenty of room to shape our infrastructure as we grow it together.

If you like the idea of a fast feedback loop, build a model, test it, ship it, see the number move, all within weeks rather than quarters, this is that kind of team.

We're hiring across a range of seniority for this role, and welcome applications whether you're an experienced Senior engineer or ready for Staff or Principal-level scope. You can be based in either London or Berlin, and we support relocation and visa sponsorship for the right candidate.

## The Role

You'll take ownership of designing, building, and shipping production-grade ML systems that power how Almedia ranks offers and personalises rewards for users in real time. This is a hands-on role; you'll be in the code, building alongside a small, high-ownership team. We're growing our ML infrastructure together, so you'll have real influence over how it's built, from the training pipeline through to the model that runs on it.

We're looking for someone with real depth in production ML who's energised by variety, someone who treats an unfamiliar part of a problem as a chance to dig in, rather than needing to stay within one familiar slice of it. Priorities here shift as the business needs them to, moving across our reward-ranking, personalisation, and measurement work, and we want someone who finds that exciting, not distracting from their specialty.

## What You'll Work On

- Designing and shipping the models that decide which offers and rewards get shown to which users, in real time
- Translating the mathematical problems at the core of our business into concrete ML formulations
- Building the systems behind reward/payout structures, balancing user motivation, cost sustainability, and advertiser value
- Diagnosing underperforming reward campaigns and identifying the causes
- Applying statistical and causal methods (A/B testing, uplift, causal inference) to make sure what you ship actually works, not just looks good in a demo
- Partnering directly with the people setting business priorities; you'll help shape what gets built, not just execute a spec

## What We're Looking For

- Genuinely hands-on production ML experience, particularly on non-standard problems; you enjoy building and shipping models end to end
- Comfortable working across the full stack of a problem: from data pipeline to model to live serving
- Strong grounding in statistics (A/B testing, regression, probability) and, ideally, causal inference
- Genuine enthusiasm for building infrastructure alongside your team, not just using infrastructure that already exists
- A genuine problem-solver's mindset; you're energised by tackling whatever the business needs next, and see moving across problems as a chance to learn rather than a distraction from your specialty
- Motivated as much by impact as by technical elegance; happy to do the simple, high-leverage thing when that's what the business actually needs

Bonus points for

- Experience in adtech, gaming, gambling, or other high-scale personalisation/monetisation systems
- Familiarity with recommendation systems or ranking models specifically
- Familiarity with gaming/growth KPIs like pLTV, retention, and ROAS
- Any exposure to applying LLMs or agentic tooling to production ML workflows (not as your primary focus, but as evidence of a builder's curiosity)

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.

## About Almedia

## Company Overview
- **One-liner**: Almedia builds the world's smartest engagement engine, powering reward-based user acquisition for games and apps through its flagship platform Freecash.
- **Entity Type**: Private (Bootstrapped)
- **Headquarters**: Berlin, Germany
- **Founded**: 2020
- **Founders**: Moritz Holländer (CEO)

## Core Business
- **Primary industry**: Advertising Technology (Rewarded User Acquisition)
- **Target customers**: B2B – game developers, app publishers, and brands looking to acquire high-quality, engaged users
- **Mission or purpose statement**: “Engineer the future of user acquisition and revolutionize the advertising technology landscape” by making user attention a compensated asset.

## Products & Services
- **[Freecash](https://almedia.co/)**: A reward-based user acquisition platform where 80M+ users earn real-money rewards for trying games, apps, and surveys. Delivers up to 2x 180-day ROAS and 3x ARPU compared to traditional channels.
- **Prizeplay**: Gamified rewards engine that boosts retention and lifetime value through tailored reward systems.
- **Cashback (via zave.it acquisition, August 2025)**: Cashback offers for purchases, integrated into Freecash and expanding into European markets.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (bootstrapped, no external funding rounds publicly known)
- **Key Metric**: Annual revenue estimated at USD $100M–$500M (LinkedIn company data); $91M+ paid out to users to date.
- **Notable Investors/Partners**: Bootstrapped – no venture capital; partners include 1,200+ games and brands (e.g., Candivore). Recognized by Financial Times FT1000 (2025) as Europe’s fastest-growing advertising company.
- **Growth Signals**: 
  - 80M+ users (up from 60M+ earlier in 2025)
  - Headcount grew 51.5% YoY to 139 employees (LinkedIn, 2026)
  - Freecash topped iOS App Store charts globally (Feb 2026)
  - Re-entered Google Play (May 2026)
  - Acquired German cashback platform zave.it (Aug 2025)

## Competitive Advantages
- **Bootstrapped unicorn trajectory**: No outside investors means full ownership and long-term focus.
- **Proprietary reward engine**: Drives 2–3x higher ROAS and retention vs. traditional UA channels.
- **Data-driven intelligence**: Real-time analytics and custom reward structures optimize campaign performance.
- **Large, engaged user base**: 80M+ users with a 4.8★ Trustpilot rating from 250,000+ reviews.
- **Global reach with local focus**: Operates in 20+ countries including UK, China, South Korea, India, and Armenia.

## Strategic Focus
- **Deepen the Freecash ecosystem**: Expand reward types (cashback, in-game rewards) across more geographies.
- **Scale the platform internationally**: Enter new markets with localized reward offerings (e.g., cashback in Germany after zave.it acquisition).
- **Invest in AI and data science**: Recent job postings include AI Full Stack Engineer, CRM Marketing Manager – Data & AI Operations, and Data Scientist.
- **Double down on engineering and product quality**: Hiring for high-ownership roles like Founding Engineer.

## Why Work Here
- **Culture of ownership and impact**: Values like “Own Everything, Get It Done” and “Focus on Impact” mean employees take real responsibility early. Described as “not a 9-5 – we highly reward intensity.”
- **High growth environment**: 51.5% headcount growth YoY with 54 open positions as of mid-2026. Opportunity to accelerate career faster than at larger companies.
- **Fully in-office**: 5 days a week in Berlin to build “energising momentum” – team collaboration is a core value.
- **Competitive compensation**: Employer rating of 4.0/5.0 for compensation on LinkedIn (3.8 overall). Revenue in nine figures.
- **Engineering-centric**: 15% of staff in technical roles; hiring for Founding Engineer, AI Full Stack Engineer, Data Scientist – suggesting strong engineering culture and modern stack.
- **Notable perks**: Being part of a bootstrapped unicorn story; work with a young, international team (average age likely mid-20s). Recent alumni go to fast-growing startups like Trade Republic, Moloco.

## Sources
1. [Almedia About Page](https://almedia.co/about)
2. [Almedia Homepage](https://almedia.co/)
3. [Almedia Careers Page](https://almedia.co/careers)
4. [Almedia Press Page](https://almedia.co/press)
5. [LinkedIn Company Profile](https://www.linkedin.com/company/almediaco/)

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