Marketing Engineer: ML-Powered Growth for Paid Media

fonio.ai

Greater London

On-site

GBP 56,000 - 111,000

Full time

14 days+

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Benefits offered by this job

Relocation bonus
Equipment of your choice
Equity stake
Vienna office lunches/dinners

Job summary

fonio.ai is seeking a Marketing Engineer to bridge data science and paid media. You will build end-to-end ML models that score leads and estimate CLTV, consolidating signals into a single data source and feeding insights back to ad platforms to optimize campaigns.

This hands-on role offers ownership of models and infrastructure, with collaboration across Performance Marketing and GTM teams. Relocation to Vienna is available with benefits and equipment provided.

Qualifications

  • Experience building data pipelines and ML models using Python and SQL.
  • Understanding paid media signals and how platforms consume them.
  • Experience with attribution or offline conversion uploads is a strong plus.
  • Strong English skills; German skills are a big plus.

Responsibilities

  • Build predictive CLTV modelling from the ground up and consolidate signals into a database.
  • Develop ML models to score leads based on user behavior.
  • Feed scores back into ad platforms (Meta, Google) to sharpen targeting and bidding.
  • Own tracking and conversion infrastructure (Tag Manager, Search Console, offline uploads, server-side setups).
  • Turn raw behavioral data into measurable performance impact and collaborate with Growth/Marketing teams.

Skills

Python
SQL
ML tooling
Data pipelines

Tools

Tag Manager
Search Console
offline uploads

Job description

fonio.ai is seeking a Marketing Engineer to bridge data science and paid media. You will build end-to-end ML models that score leads and estimate CLTV, consolidating signals into a single data source and feeding insights back to ad platforms to optimize campaigns.

This hands-on role offers ownership of models and infrastructure, with collaboration across Performance Marketing and GTM teams. Relocation to Vienna is available with benefits and equipment provided.

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