Staff Machine Learning Engineer
At a glance
Senior Machine Learning Engineering role at Almedia. London · full-time · no salary stated · we estimate £125,500–£152,500.
Almedia has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build and ship real-time ranking and personalization that connect users with relevant offers
- Design reward and payout systems that balance user motivation, operating cost and business value
- Model user behavior over time with sequence and time-series methods
- Test whether changes work through A/B experiments, causal analysis and uplift modeling
- Run ML pipelines, training, serving and monitoring, while guiding teammates on delivery and impact
What you bring
- You have taken machine-learning systems from problem definition through launch and impact measurement
- You can handle the full stack from data pipelines through live inference to monitoring model decay
- You bring causal methods such as propensity scoring, instrumental variables or uplift modeling
- You have built for large behavioral datasets and real-time inference, with research work or equivalent rigor
Who this fits
This is a hands-on staff role with technical leadership and mentorship alongside a small team. It suits an engineer who enjoys taking machine-learning systems from an early idea through production and measurement. The role is based onsite in King’s Cross, London.
From the employer
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.