Senior Data Scientist / Senior Machine Learning Engineer - AI at Massive Scale

AI overview

Design and build large-scale machine learning pipelines for real-time campaigns using innovative AI systems that process terabytes of data to drive impactful decisions.

Help us push AI further — and faster

LoopMe’s Data Science team builds production AI that powers real-time decisions for campaigns seen by hundreds of millions of people every day. We process billions of data points daily — and we don’t just re-apply old tricks. We design and deploy genuinely novel machine learning systems, from idea to prototype to production.

You’ll join a high-trust team that has a 5-star Glassdoor rating led by Leonard Newnham, where your work moves fast, ships to production, and makes measurable impact.

 

What you’ll do:

  • Design, build, and run large-scale ML pipelines that process terabytes of data
  • Apply a mix of supervised learning, custom algorithms, and statistical modelling to real-world problems
  • Ship production-grade Python code that’s clear, documented, and tested
  • Work in small, agile squads (3–4 people) with DS, ML, and engineering peers
  • Partner with product and engineering to take models from idea → production → impact
  • Work with Google Cloud, Docker, Kafka, Spark, Airflow, ElasticSearch, ClickHouse and more

 

What you bring:

  • Bachelor’s degree in Computer Science, Maths, Engineering, Physics or similar (MSc/PhD a plus)
  • 4+ years’ commercial Python experience
  • Track record building ML pipelines that handle large-scale data
  • Excellent communication skills — comfortable working across time zones
  • A curious, scientific mindset — you ask “why?” and prove the answer

Bonus if you have:

  • Experience with adtech or real-time bidding
  • Agile / Scrum experience
  • Knowledge of high-availability infrastructure (ElasticSearch, Kafka, ClickHouse)
  • Airflow expertise

 

About the Data Science Team:

We’re 17 ML engineers, data scientists, and data engineers, distributed across London, Poland, and Ukraine — acting as one team, not a satellite office.

What sets us apart:

  • Led by an experienced Chief Data Scientist who codes, leads, and listens
  • Inclusive, supportive culture where ideas are heard and people stay
  • Strong values: open communication, continual innovation, fair treatment, and high standards
  • Track record of publishing award-winning research in automated bidding

Don’t just take our word for it — check our Glassdoor reviews (search “Data Scientist”) for a real view of the culture.

 

About LoopMe:

LoopMe was founded to close the loop on brand advertising. Our platform combines AI, mobile data, and attribution to deliver measurable brand outcomes — from purchase intent to foot traffic. Founded in 2012, we now have offices in New York, London, Chicago, LA, Dnipro, Singapore, Beijing, Dubai and more.

 

What we offer:

  • Competitive salary + bonus
  • Billions of real-world data points to work with daily
  • Flexible remote/hybrid options
  • Learning budget and career growth support
  • Friendly, transparent culture with strong leadership

 

Hiring process:

  1. Intro with Talent Partner
  2. 30-min technical interview with Chief Data Scientist
  3. Panel with 2 team members (technical, culture & collaboration)
  4. Offer – usually within 48 hours of final round

 

Are you ready to design and deploy AI systems that run at truly massive scale?

 

Perks & Benefits Extracted with AI

  • Flexible Work Hours: Flexible remote/hybrid options
  • Learning Budget: Learning budget and career growth support
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