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

<p><strong>Help us push AI further — and faster</strong></p><p>LoopMe’s <a href="https://www.glassdoor.com/Reviews/LoopMe-Data-Scientist-Reviews-EI_IE911164.0,6_KO7,21.htm" rel="nofollow noreferrer noopener">Data Science team</a> 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.</p><p>You’ll join a high-trust team that has a <strong>5-star Glassdoor rating</strong> led by <a href="https://www.linkedin.com/in/leonardnewnham/" rel="nofollow noreferrer noopener">Leonard Newnham</a>, where your work moves fast, ships to production, and makes measurable impact.</p><p> <strong>What you’ll do:</strong></p><ul><li>Design, build, and run large-scale ML pipelines that process terabytes of data</li><li>Apply a mix of supervised learning, custom algorithms, and statistical modelling to real-world problems</li><li>Ship production-grade Python code that’s clear, documented, and tested</li><li>Work in small, agile squads (3–4 people) with DS, ML, and engineering peers</li><li>Partner with product and engineering to take models from idea → production → impact</li><li>Work with Google Cloud, Docker, Kafka, Spark, Airflow, ElasticSearch, ClickHouse and more</li></ul><p> <strong>What you bring:</strong></p><ul><li>Bachelor’s degree in Computer Science, Maths, Engineering, Physics or similar (MSc/PhD a plus)</li><li>3+ years’ commercial Python experience</li><li>Track record building ML pipelines that handle large-scale data</li><li>Excellent communication skills — comfortable working across time zones</li><li>A curious, scientific mindset — you ask “why?” and prove the answer</li></ul><p><strong>Bonus if you have:</strong></p><ul><li>Experience with adtech or real-time bidding</li><li>Agile / Scrum experience</li><li>Knowledge of high-availability infrastructure (ElasticSearch, Kafka, ClickHouse)</li><li>Airflow expertise</li></ul><p> <strong>About the Data Science Team:</strong></p><p>We’re 17 ML engineers, data scientists, and data engineers, distributed across London, Poland, and Ukraine — acting as one team, not a satellite office.</p><p>What sets us apart:</p><ul><li>Led by an experienced Chief Data Scientist who codes, leads, and listens</li><li>Inclusive, supportive culture where ideas are heard and people stay</li><li>Strong values: open communication, continual innovation, fair treatment, and high standards</li><li>Track record of publishing award-winning research in automated bidding</li></ul><p>Don’t just take our word for it — check our <a href="https://www.glassdoor.com/Reviews/LoopMe-Data-Scientist-Reviews-EI_IE911164.0,6_KO7,21.htm" rel="nofollow noreferrer noopener">Glassdoor reviews</a> (search “Data Scientist”) for a real view of the culture.</p><p> <strong>About LoopMe:</strong></p><p>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.</p><p> <strong>What we offer:</strong></p><ul><li>Competitive salary + bonus</li><li>Billions of real-world data points to work with daily</li><li>Flexible remote/hybrid options</li><li>Learning budget and career growth support</li><li>Friendly, transparent culture with strong leadership</li></ul><p> <strong>Hiring process:</strong></p><ol><li>Intro with Talent Partner</li><li>30-min technical interview with Chief Data Scientist</li><li>Panel with 2 team members (technical, culture &amp; collaboration)</li><li>Offer – usually within 48 hours of final round</li></ol><p> <strong>Are you ready to design and deploy AI systems that run at truly massive scale?</strong></p>