Remote Machine Learning Engineer

About the role

Develop and implement machine learning solutions that turn data into actionable insights and business value. The role focuses on building ML models, creating data pipelines, and collaborating with cross‑functional teams to deploy scalable systems that solve real‑world problems.

Key responsibilities

• Build and train machine learning models for various business applications.
• Develop and maintain ML pipelines for data processing and model deployment.
• Collaborate with data scientists to implement algorithms and optimise model performance.
• Monitor and improve existing ML systems to ensure accuracy and reliability.
• Participate in code reviews and contribute to ML best practices across the team.
• Document technical processes and communicate findings to stakeholders.

Required profile

• 3+ years of experience in machine learning engineering or related fields.
• Strong knowledge of machine learning algorithms and statistical methods.
• Proficiency in Python and experience with ML frameworks and libraries.
• Experience with data processing and feature engineering techniques.
• Familiarity with cloud platforms and containerization technologies.
• Advanced level of English.

Required skills

• Python
• Machine Learning frameworks
• Cloud platforms
• Containerization

What we offer

• 100% remote work from anywhere.
• Competitive compensation in USD or local currency.
• Hardware and software setup for a home office.
• Flexible hours – create your own schedule.
• Paid parental leave, vacations, and national holidays.
• Innovative, multicultural environment with global top talent.
• Mentorship, promotion pathways, skill development and diverse growth opportunities.