TL;DR

Lead Machine Learning Engineer (Adtech): Designing, developing, and scaling impactful, production-grade ML solutions that power Almedia’s products and growth, with an accent on optimizing user reward schemes, personalizing real-time reward values, and identifying underperforming campaigns. Focus on providing technical leadership, applying advanced statistical and causal inference methods, and partnering with product and engineering teams.

Location: Hybrid in London, United Kingdom

Salary: £140,000–£220,000 per year

Company

Almedia is a rapidly growing adtech startup aiming to become Germany’s second bootstrapped unicorn, and Europe’s #3 fastest-growing company in 2025 (FT1000).

What you will do

  • Design, develop, and scale impactful, production-grade ML solutions.
  • Lead end-to-end delivery, deployment, and optimization of solutions at scale.
  • Provide technical leadership across ML projects and ensure best practices.
  • Align technical capabilities with business priorities.
  • Apply advanced statistical and causal inference methods to ensure robustness and reliability.
  • Partner with product and engineering teams to translate business challenges into predictive, data-driven solutions.

Requirements

  • Proven expertise in building, deploying, and maintaining solutions and services in production, ideally in adtech or high-scale environments.
  • Deep knowledge of statistics (A/B testing, regression, probability).
  • Strong programming background in Python and SQL, with hands-on cloud experience.
  • Ability to mentor and set technical direction for ML engineers and cross-functional peers.
  • Strong communication skills to influence both technical and non-technical stakeholders.

Nice to have

  • Passion for gaming and strong understanding of player behaviour.
  • Experience with adtech, monetisation platforms, or the gambling industry.
  • Familiarity with gaming KPIs such as pLTV, retention, and ROAS.

Culture & Benefits

  • Have a real impact and grow alongside a startup that has been profitable from day one.
  • Opportunity to take ownership of projects and consistently raise the bar.
  • Generous bonus scheme to ensure great, proactive work is valued.
  • Fostering talent, evaluating all skill levels, and providing a clear path for growth.
  • Commitment to diversity and equal opportunity.