Machine Learning Engineer (Remote)

About the role

We are looking for a Machine Learning Engineer to design and deploy intelligent solutions that turn data into actionable business value. The role is fully remote and involves collaborating with cross‑functional teams to build scalable ML systems.

Key responsibilities

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

Required profile

• Minimum 3 years of experience in machine learning engineering or a related field.
• Strong knowledge of machine‑learning algorithms and statistical methods.
• Proficiency in Python and experience with popular ML frameworks.
• Hands‑on experience with data processing and feature‑engineering techniques.
• Familiarity with cloud platforms and containerisation technologies.
• Advanced level of English.

Required skills

• Python
• TensorFlow, PyTorch or scikit‑learn
• Data processing and feature engineering
• Cloud platforms (AWS, GCP, Azure)
• Docker and Kubernetes

What we offer

• 100 % remote work from anywhere.
• Competitive compensation in USD or local currency.
• Hardware and software setup for home office.
• Flexible schedule and paid parental leave, vacations and holidays.
• Multicultural environment with mentorship, promotions and skill‑development opportunities.