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Almedia

Staff Machine Learning Engineer

London

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hirly's read of this role

Role family
Data & ML
Seniority
Lead / management
Country
GB
Work mode
On-site / unstated
First seen by hirly
9 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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 95 million users for engaging with our advertisers’ products. We are offering a new way to acquire users for the biggest companies in the world.

  • Staff Machine Learning Engineer
  • London, King's Cross
  • Top-of-market compensation

The Role

You'll take ownership of designing, building, and shipping production-grade systems that power ranking, personalisation, and reward structures in real time. You work hands-on with a small, high-ownership team. You have real influence over how we build our infrastructure as we grow it together.

You spot leverage points others miss: systems that shift behaviour, ranking that balances user value and business sustainability, measurement frameworks that prove what actually works. You own these end to end.

What You'll Own

Ranking and personalisation systems that reach the right users in real time

Reward and payout infrastructure balancing user motivation, cost, and business value

Behavioural prediction through time-series and sequence systems

Measurement and validation using A/B testing, causal inference, uplift modelling

ML infrastructure: pipelines, training loops, serving, monitoring

Technical leadership and mentorship on shipping discipline and impact

What We're Looking For

Shipped production systems end to end, from formulation through impact measurement

Full-stack capability: data pipeline to live serving to monitoring and decay

Causal thinking: propensity scoring, instrumental variables, contextual bandits, uplift modelling

Scale experience: built systems handling high-volume behavioural datasets and real-time inference

Published work or equivalent research discipline

Builder's mindset: energised by shipping. Zero-to-one experience valued

Cross-functional: collaborate across engineering, product, and data science teams on measurement and infrastructure

Why This Matters

Real behavioural sequences. Billions of user decisions across multiple games. Your systems handle cold start, sparse reward, imbalanced value distributions. Both measurement rigour and systems thinking matter here.

Why Almedia

Profitable from launch. Higher revenue per employee than Big Tech.

Small team by design. Every hire raises the bar.

Top-of-market compensation including substantial equity.

Real behavioural data at scale. Billions of user interactions, millions of daily active users.

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.

Original posting on Almedia's site ↗

Listed on hirly, a job board. hirly is not the employer: Almedia is hiring for this role.

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