Senior Machine Learning Engineer

Stuart is a tech-enabled logistics platform transforming on-demand delivery across Europe, connecting businesses with independent couriers for fast, flexible deliveries.
Machine Learning
Senior Software Engineer
Hybrid
101 - 500 Employees
3+ years of experience
Logistics

Description For Senior Machine Learning Engineer

Stuart, a leading European logistics platform, is seeking a Senior Machine Learning Engineer to join their Warsaw team. This role offers an exciting opportunity to work on critical ML initiatives in a fast-growing tech company that's transforming urban deliveries across Europe. The position involves developing and scaling sophisticated ML services for courier optimization, ETA predictions, and fraud detection.

The role combines technical excellence with business impact, requiring expertise in Python, ML infrastructure, and cloud services. You'll work in a hybrid environment (3 days/week in office) with a diverse team of 240+ employees across multiple countries. The company culture emphasizes learning, development, and work-life balance.

As a Senior ML Engineer, you'll own end-to-end implementation of complex projects, from prototyping to production, ensuring performance and scalability. Key responsibilities include designing ML platform components, implementing data pipelines, and maintaining real-time inference systems. You'll work with technologies like PySpark, Kafka, and Kubernetes while contributing to architectural decisions and engineering excellence.

Stuart offers comprehensive benefits including healthcare, meal vouchers, wellness allowance, and a unique work-from-abroad policy. The company is committed to sustainability and creating efficient urban delivery solutions. They value diversity and inclusion, creating an environment where employees can thrive both professionally and personally.

This role is perfect for experienced ML engineers who want to make a real impact on urban logistics while working with cutting-edge technologies in a supportive, international environment. The position offers excellent growth opportunities and the chance to shape the future of sustainable urban deliveries.

Last updated 8 days ago

Responsibilities For Senior Machine Learning Engineer

  • Design, implement, and optimize ML platform components
  • Work on ML services from prototype to production
  • Design and implement PySpark Pipelines for large-scale training data preprocessing
  • Integrate real-time data streaming and model inference with Kafka
  • Develop and deploy RESTful APIs for real-time inference
  • Support ML Model Lifecycle Management
  • Implement and maintain monitoring dashboards
  • Contribute to CI/CD pipelines for ML assets

Requirements For Senior Machine Learning Engineer

Python
Kubernetes
Kafka
  • 3+ years of hands-on ML engineering experience in production environments
  • Advanced level in Python with deep knowledge of data structures, algorithms, OOP, and CI/CD workflows
  • Expertise in ML infrastructure (Kafka, PySpark, Airflow, DBT, Docker, Kubernetes)
  • Strong communication skills in English
  • Adaptability to excel in fast-changing environments

Benefits For Senior Machine Learning Engineer

Medical Insurance
  • Meal Vouchers (40zł daily)
  • Stuart Academy for upskilling and development
  • Wellness Allowance with Juno 171 zł/month
  • Private healthcare provided by Luxmed
  • Work-from-Abroad policy (30 days per year)
  • Flexible hours
  • International work environment

Interested in this job?

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