Staff Engineer - Machine Learning & Pricing

Almedia
City of London
3 weeks ago
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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 50 million users for engaging with our advertisers’ products. We are offering a new way to acquire users for the biggest companies in the world. At Almedia, you’ll:



  • Own way more, way earlier — you’ll be trusted with responsibility fast.
  • Push harder, get further — this isn’t a 9–5. We highly reward intensity.
  • Join a rare environment — you will work with ambitious high-speed, high-ownership people.
  • Fully present — we’re 5 days a week in the office to build the energising momentum we need.

Staff Engineer – Machine Learning & Pricing

You’ll take ownership of designing, scaling, and optimising the systems that power Almedia’s pricing logic, machine learning models, and data-driven growth experiments. Your work will enable the company to turn complex behavioural and market data into real-time, intelligent pricing systems that directly impact user engagement and revenue.


Types of Problems You’ll Be Solving

  • Build and scale dynamic pricing algorithms that adapt to real-time user behaviour and market signals
  • Design and deploy ML models that predict user value, engagement, and conversion probability
  • Develop experimentation frameworks for continuous testing and optimisation of pricing strategies
  • Create high-performance data and ML pipelines integrated with backend services
  • Improve model reliability, monitoring, and performance across environments

Your Role

  • Lead the end-to-end design, development, and deployment of ML and pricing systems
  • Define technical direction and provide leadership across engineering and data science teams
  • Collaborate closely with data scientists, backend engineers, and product teams on model integration
  • Establish frameworks for model versioning, evaluation, and automated retraining
  • Continuously refine architecture to improve scalability, accuracy, and maintainability

You Have

  • Proven experience designing and scaling ML-driven systems in production
  • Strong knowledge of Python, data processing, and system design
  • Experience with experimentation, dynamic pricing, or predictive modelling
  • Solid understanding of SQL and cloud environments (AWS or GCP)
  • Experience collaborating across engineering, product, and data science functions

Bonus Points For

  • Hands‑on experience with ML model training, deployment, and monitoring pipelines
  • Work on pricing, auction, or optimisation systems at scale
  • Background in adtech, gaming, or performance marketing environments
  • Passion for data-driven decision making and automation

Why Almedia?

  • Scale With Almedia: Have a real impact and grow alongside a startup that has been profitable from day one.
  • High-Growth Environment: We encourage all staff to take ownership of projects and consistently raise the bar.
  • Do More, Get More: Generous bonus scheme to ensure great, proactive work is valued.

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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