Senior Machine Learning Engineer

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

Job summary

A leading IT services company is 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 while emphasizing MLOps practices. The ideal candidate will collaborate closely with data teams to deliver reliable ML systems. The position offers a full-time agreement, private medical care, and a multisport card among other benefits.

Benefits

Private medical care with dental care

Multisport card

Qualifications

• Minimum 8+ years' experience in machine learning engineering or related roles.
• Hands-on experience with MLflow for model lifecycle management in production.
• Strong understanding of MLOps principles.

Responsibilities

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

Skills

Python

TensorFlow

PyTorch

Scikit-learn

MLflow

CI/CD

Docker

Kubernetes

Spark

Airflow

Job description

Reference number: PL25/IC/MACHINELEARNINGENGINEER/REMOTE

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)