Data Scientist / Machine Learning Engineer - AI at Massive Scale
Job Description
LoopMe is a leading AI-powered advertising technology company seeking a Data Scientist/ML Engineer to join their highly-rated data science team. The role focuses on building production AI systems that power real-time decisions for campaigns reaching hundreds of millions of people daily. The team processes billions of data points and develops novel machine learning systems from concept to production.
The position offers an opportunity to work in a high-trust environment with a 5-star Glassdoor rating, led by Chief Data Scientist Leonard Newnham. The team consists of 17 ML engineers, data scientists, and data engineers distributed across London, Poland, and Ukraine, operating as a unified team. They have a track record of publishing award-winning research in automated bidding.
The successful candidate will work with cutting-edge technologies including Google Cloud, Docker, Kafka, Spark, Airflow, ElasticSearch, and ClickHouse. They'll be responsible for designing and implementing large-scale ML pipelines, applying various learning techniques, and shipping production-grade Python code. The role requires strong technical skills, excellent communication abilities, and a scientific mindset.
LoopMe offers competitive compensation, flexible working arrangements, and a strong focus on professional development. The company maintains an inclusive, supportive culture with clear values around open communication, continuous innovation, and high standards. The hiring process is streamlined and transparent, typically concluding within 48 hours of the final interview.
Responsibilities For Data Scientist / Machine Learning Engineer - AI at Massive Scale
- Design, build, and run large-scale ML pipelines that process terabytes of data
- Apply 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 with DS, ML, and engineering peers
- Partner with product and engineering to take models from idea to production to impact
Requirements For Data Scientist / Machine Learning Engineer - AI at Massive Scale
- 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
Benefits For Data Scientist / Machine Learning Engineer - AI at Massive Scale
- 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
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