Senior Data Scientist / Senior Machine Learning Engineer - AI

Summary

Join LoopMe's Data Science team and build production AI that powers real-time decisions for campaigns viewed by millions daily. You will design and deploy novel machine learning systems, working in a high-trust, 5-star Glassdoor-rated team. Responsibilities include designing, building, and running large-scale ML pipelines, applying supervised learning and custom algorithms, shipping production-grade Python code, collaborating with product and engineering teams, and working with various technologies like Google Cloud, Docker, and Kafka. The ideal candidate possesses a Bachelor's degree in a relevant field, 4+ years of commercial Python experience, and a proven track record in building large-scale ML pipelines. LoopMe offers a competitive salary, bonus, flexible remote/hybrid options, a learning budget, and a friendly, transparent culture.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

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

Benefits

• Competitive salary + bonus
• Flexible remote/hybrid options
• Learning budget and career growth support