Senior Machine Learning Engineer

Cyclad Sp. z o.o.; Remote; PLN 180,000 - 240,000; Full time

Job summary

A leading IT services provider is seeking a Senior Machine Learning Engineer to join their remote team. The role involves designing, deploying, and maintaining scalable machine learning solutions with a focus on MLOps practices and ML lifecycle management. Candidates should possess over 8 years of experience in machine learning, strong proficiency in Python, and hands-on experience with MLflow. The position offers a full-time job agreement, private medical care, and a multisport card.

Benefits

Private medical care with dental care

Rehabilitation package

Multisport card

Qualifications

• Minimum 8+ years experience in machine learning engineering or related roles.
• Strong proficiency in Python and modern machine learning frameworks.

Responsibilities

• Design, develop, and deploy machine learning models for production environments.
• Implement and manage MLflow for experiment tracking, model versioning, and model deployment.
• Optimize ML pipelines for performance, scalability, reliability, and cost efficiency.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

MLflow

Docker

Kubernetes

Spark

Airflow

MLOps

Job description

Reference number: PL25/IC/MACHINELEARNINGENGINEER/REMOTE

Workplace: Lublin

In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. We are seeking a highly experienced Senior Machine Learning Engineer to join a remote development team. The role focuses on designing, deploying, and maintaining scalable machine learning solutions in production environments, with a strong emphasis on MLOps practices and ML lifecycle management using MLflow. The candidate will collaborate closely with data scientists, data engineers, architects, and business stakeholders to deliver reliable, production-grade ML systems.

Project information

• Type of project: IT Services
• Budget: 130-150 PLN net /h- b2b
• Project length: long term
• Only candidates with citizenship in the European Union and residence in Poland

Project scope

• Design, develop, and deploy machine learning models for production environments
• Implement and manage MLflow for experiment tracking, model versioning, and model deployment
• Optimize ML pipelines for performance, scalability, reliability, and cost efficiency
• Implement end-to-end ML pipelines covering training, validation, deployment, monitoring, and retraining
• Apply MLOps best practices to ensure scalability, reproducibility, and operational stability
• Collaborate with data scientists to operationalize models and improve model performance
• Work closely with data engineers to integrate ML solutions with data pipelines and data platforms
• Build and maintain containerized ML applications using Docker and Kubernetes
• Implement CI/CD pipelines for automated testing, deployment, and monitoring of ML models
• Monitor model performance, data drift, and system health; perform root cause analysis when issues arise
• Ensure security, compliance, and best practices across cloud-based ML deployments

Requirements

• Minimum 8+ years experience in machine learning engineering or related roles
• Strong proficiency in Python and modern machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
• Hands-on experience with MLflow for model lifecycle management in production environments
• Solid understanding of MLOps principles, including CI/CD, containerization, and orchestration
• Experience deploying and operating ML workloads on cloud platforms (AWS, Azure, or GCP)
• Good knowledge of data engineering concepts and tools such as Spark and Airflow
• Strong problem-solving skills and ability to work in complex, distributed environments
• Excellent verbal and written communication skills in English

We offer

• Full-time job agreement based on b2b and employment contract
• Private medical care with dental care (covering 70% of costs) + rehabilitation package. Family package option possible
• Multisport card (also for an accompanying person)