Machine Learning Engineer

About us:

EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 200 customers worldwide.

But that's not all! We're not just about numbers, we're about people. With a team of over 1000 passionate individuals spread across twelve countries in Europe, Asia, and the US, we're all united by our love for innovation and teamwork.

EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association. In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification. EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions.

Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time.

We are looking for a passionate and dedicated ML Engineer to join our team in Lviv/Kyiv!

About the job:

We’re looking for a Machine Learning Engineer to develop models that support analytics, automation, and prediction tasks. You'll be involved in the full ML lifecycle — from data exploration and feature engineering to production deployment and monitoring—building scalable solutions in a high-impact domain.

The ideal candidate for us has strong ML fundamentals and hands-on experience building robust pipelines and production-grade solutions.

What You'll get to do:

• Design, train, and deploy ML models (fraud detection, behavioral modeling, recommendation systems)
• Build and maintain data pipelines for training/inference (structured & unstructured data)
• Support CV and tabular ML models with production-grade stability
• Perform EDA, experimentation, hyperparameter tuning, and evaluation
• Collaborate with product/backend teams to integrate ML features into production
• Monitor model performance, detect drift, and implement retraining strategies
• Contribute to evolving a scalable, modular internal ML stack

What You need to know:

• ~2 years of hands-on experience in applied ML (preferably in production)
• Proficient in Python (Pandas, NumPy, Scikit-Learn, PyTorch) and SQL
• Solid ML knowledge: feature engineering, model selection, optimization, evaluation
• Familiar with recommendation algorithms (collaborative filtering, embeddings, ranking)
• Exposure to CV (CNNs, object detection, multimodal learning) is a plus
• Experience with ML Ops/backend tools (Airflow, FastAPI, Docker, GCS)
• Curious about user behavior, fraud analytics, and personalization

Here's what we offer:

• Start with 22 days of annual leave, with 2 additional days added each year, up to 32 days by your fifth year with us.

• Stay Healthy: 10 sick leave days per year, no doctor's note required; 30 medical leave days with medical allowance

• Support for New Parents:

• 21 weeks of paid maternity leave, with the flexibility to work from home full-time until your child turns 1 year old.

• 4 weeks of paternity leave, plus the flexibility to work from home full-time until your child is 13 weeks old.

Our office perks include on-site massages and frequent team-building activities in various locations.

Benefits & Perks:

• Daily catered lunch or monthly lunch allowance. 

• Private Medical Subscription. 

• Access online learning platforms like Udemy for Business, LinkedIn Learning or O’Reilly, and a budget for external training.

• Gym allowance

At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference!