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Principal Machine Learning Engineer (AdTech)

Harnham • Spain
Remote
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Lead the technical direction of large-scale production ML systems in AdTech, focusing on recommendation engines, audience targeting, and bidding optimization. This individual contributor role requires hands-on experience with the full model lifecycle and MLOps platforms. Key requirements include strong Python, ML frameworks, software engineering, and communication skills.

Key Highlights
Define technical direction for large-scale production ML systems.
Lead end-to-end ML initiatives across recommendation systems, audience targeting, bidding optimization, and customer lifecycle modelling.
Individual contributor leadership role focused on delivering complex technical projects.
Key Responsibilities
Define the technical direction of large-scale production machine learning systems.
Remain hands-on throughout the full model lifecycle.
Lead end-to-end machine learning initiatives across recommendation systems, audience targeting, bidding optimisation and customer lifecycle modelling.
Partner closely with senior engineering and business stakeholders to translate commercial objectives into production-ready AI solutions.
Combine technical strategy, platform engineering and applied machine learning within a high-scale real-time environment.
Technical Skills Required
Python Machine Learning MLOps
Benefits & Perks
€135,000 base salary plus approximately €15,000 annual bonus (OTE €150,000)
Longevity bonus every two years
4.5-day working week with Friday afternoons off
Fully remote working or hybrid (2 days per week if based near an office)
Two company meet-ups each year
Nice to Have
AdTech or Demand Side Platform (DSP) experience highly desirable
PhD in a STEM discipline is advantageous

Job Description

Principal Machine Learning Engineer

Location: Barcelona (Remote / Hybrid – Fully Remote or 2 Days in the Office)

Salary: €135,000 Base + €15,000 Bonus (OTE €150,000)

THE COMPANY

This profitable French AdTech scale-up is transforming digital advertising through machine learning. By building AI-powered technology that determines which users are most likely to engage with an advert, they help leading mobile apps drive customer acquisition and re-engagement through highly targeted advertising.

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