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

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) 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 (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: Intro with Talent Partner 30-min technical interview with Chief Data Scientist Panel with 2 team members (technical, culture & collaboration) Offer – usually within 48 hours of final round Are you ready to design and deploy AI systems that run at truly massive scale?