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 a 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 in 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

• An 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:

Do you want to work with patented AI technology and develop high-performance solutions? If so, we have the perfect job for you at LoopMe!

We are a global team of skilled engineers who develop and maintain real-time bidding platforms for leading advertisers worldwide. Leveraging technologies such as Java, Postgres, Clickhouse, and Kafka, you will be instrumental in scaling performance, optimising cloud infrastructure, and creating innovative features across our product portfolio. 

As the market leader in AI, LoopMe uses agile methodology to deliver product features at a fast pace. Join us and be a part of our mission to push the boundaries of what is possible in the advertising industry!

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-minute technical interview with the Chief Data Scientist

3. Panel with 2 team members (technical, culture & collaboration)

4. Offer – usually within 48 hours of the final round

Are you ready to design and deploy AI systems that run at truly massive scale?