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Almedia

Staff Machine Learning Engineer

London
Level
Staff
Work type
On-site · London

Not stated in the posting: salary, visa.

Open. First seen 9 October 2026.

Apply on the company's site →

About the role

Almedia's standard text

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.
Almedia's standard text

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.

What this role asks for

Standard for data science / ML roles

Machine Learning

Common in data science / ML postings at any company.

71% of this description is written for the role. The rest is Almedia's standard text, folded away below.

Read against Almedia's other open postings on this site.

The team: Data Science

This role is one of 4 open in Data Science. 4 were posted in the last 30 days.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

dbt (2 of 4), Machine Learning (2 of 4), Python (2 of 4), SQL (2 of 4)

OTHER ROLES ON THIS TEAM

From the team and dates on Almedia's own job board.

Salary context

23 other open postings titled Staff Machine Learning Engineer state a salary: median USD 200,000 to USD 272,000 a year.

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