Senior ML Engineer — Remote | Production ML & MLOps

Experis Manpower Group; Remote; PLN 120,000 - 180,000; Full time

Job summary

A leading staffing and recruitment agency in Poland is seeking an experienced Machine Learning Engineer to drive the development of advanced machine learning solutions. In this 100% remote role, you will design, implement, and manage scalable ML models. The ideal candidate will have over 5 years of experience, strong proficiency in Python and frameworks like TensorFlow and PyTorch, and familiarity with MLOps. Competitive hourly pay along with a comprehensive benefits package is offered.

Benefits

Medicover healthcare package

Multisport card

Access to an e-learning platform

Group life insurance

Qualifications

• Minimum 5 years of experience in machine learning engineering or related roles.
• Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Hands-on experience with MLflow for model lifecycle management.
• Solid understanding of MLOps principles and tools, including Docker, Kubernetes, and CI/CD pipelines.
• Experience with cloud platforms (AWS, Azure, or GCP) for ML deployment and scaling.

Responsibilities

• Design, develop, and deploy machine learning models for production environments.
• Implement and manage MLflow for experiment tracking, model versioning, and deployment.
• Optimize ML pipelines for performance, scalability, and reliability.
• Collaborate with data engineers and software developers to integrate ML solutions into existing systems.
• Monitor and maintain ML models in production, ensuring continuous improvement and stability.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

MLflow

Docker

Kubernetes

CI/CD pipelines

MLOps principles

Cloud platforms (AWS, Azure, GCP)

Job description

A leading staffing and recruitment agency in Poland is seeking an experienced Machine Learning Engineer to drive the development of advanced machine learning solutions. In this 100% remote role, you will design, implement, and manage scalable ML models. The ideal candidate will have over 5 years of experience, strong proficiency in Python and frameworks like TensorFlow and PyTorch, and familiarity with MLOps. Competitive hourly pay along with a comprehensive benefits package is offered.