# Data Scientist / Machine Learning Engineer - AI at Massive Scale.

> LoopMe · Lviv, Ukraine (Hybrid) · Full-time · Posted 2026-06-12

**Workplace:** hybrid

**Department:** Data Science

## Description

**Help us push AI further — and faster**

LoopMe’s [Data Science team](https://www.glassdoor.com/Reviews/LoopMe-Data-Scientist-Reviews-EI_IE911164.0,6_KO7,21.htm) 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](https://www.linkedin.com/in/leonardnewnham/), 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)
-   3+ 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](https://www.glassdoor.com/Reviews/LoopMe-Data-Scientist-Reviews-EI_IE911164.0,6_KO7,21.htm) (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?**

## Apply

[Apply at LoopMe](https://apply.workable.com/loopme/j/A03BD758CC/apply)

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