Staff Machine Learning Engineer
Almedia
- London, United Kingdom
- On-site
- Lead/Staff
- Posted
Skills
Required
- monitoring
- modelling
- data pipeline to
- live serving
- decay
- instrumental variables
- contextual bandits
Preferred
- uplift modelling
- time-series and
- sequence systems
- A/B testing
- causal inference
- ML infrastructure
- pipelines
- training loops
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.
About Almedia
- Our bar is high, and this is the best place for ambitious builders.
- Bootstrapped and profitable from day one, Almedia is Germany’s fastest-growing company (FT1000). Join us as we build the global leader in rewards, at a $1bn+ revenue run rate and climbing fast.
- Staff Machine Learning Engineer
London, King's Cross
Real behavioural data at scale. Billions of user interactions, millions of daily active users.
Responsibilities
- 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.
- 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
Requirements
- 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
Benefits
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.
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.
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.
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