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Director of Data Science & Machine Learning

Almedia
3 days ago
Full-time
On-site
London, London, United Kingdom
£190 - £310 GBP yearly
AI and Machine Learning

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 60 million users for engaging with our advertisers’ products. We are offering a new way to acquire users for the biggest companies in the world.

Director of Machine Learning

We’re looking for a Director of ML who can build from scratch, go deep technically, and hire and mentor a small, extremely strong team. This is a hands-on leadership role.

What you’ll do

  • Own the ML roadmap end to end, from problem definition to production.

  • Design and ship recommendation systems and other core ML products.

  • Start very hands-on: prototype, code, and iterate quickly.

  • Hire and grow a high‑ownership ML team.

  • Raise the technical bar (architecture, reviews, standards, strategy).

What you’ll bring

  • Strong ML engineering background with production systems at scale.

  • Experience in recommender systems, pricing, ads, or similar domains.

  • Clear zero‑to‑one experience (founder/early stage or building new ML products/teams).

  • Track record in fast‑paced, high‑ownership startups.

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.