Role
Senior Machine Learning Engineer
Role summary
Build and operate production-grade machine learning systems focused on large-scale data analysis and AI-driven decision making. Remote role for experienced ML Engineers who enjoy ownership, scalability, and real-world impact.
Job description
We are looking for a Senior Machine Learning Engineer to join a high-performing engineering team building production machine learning systems at scale.
This is a hands-on role focused on designing, deploying, and operating real-world ML systems rather than pure research. You will work across the full machine learning lifecycle, from data and model development to deployment, monitoring, and continuous improvement.
The ideal candidate combines strong machine learning expertise with solid software engineering fundamentals and enjoys working in a fast-moving, ownership-driven environment.
Responsibilities
• Build and maintain production machine learning systems
• Develop scalable ML pipelines and deployment workflows
• Design, train, evaluate, and optimize machine learning models
• Monitor model performance and reliability in production
• Work with large-scale data processing systems
• Collaborate with engineering and product teams
• Improve infrastructure, tooling, and automation
• Contribute to architectural decisions and technical strategy
Required Skills
• Strong Python experience
• Experience deploying ML models into production
• Machine Learning engineering experience
• CI/CD and containerization experience
• SQL and NoSQL database knowledge
• Experience with streaming or batch processing systems
• Strong software engineering fundamentals
• Experience building scalable systems
Nice to Have
• NLP experience
• Trust & Safety or content analysis systems
• AI/ML platform experience
• Deep learning frameworks
• Cybersecurity or threat intelligence exposure
• Experience in startup or high-growth environments
Soft Skills
• Strong ownership mentality
• Pragmatic problem solver
• Excellent communication skills
• Collaborative team player
• Product-minded approach
• Comfortable working in fast-paced environments
Location Requirements
• This is a fully remote role for candidates based in Europe or able to work within standard European time zones.
• Candidates should already have valid work authorization for their country of residence.
This is a hands-on role focused on designing, deploying, and operating real-world ML systems rather than pure research. You will work across the full machine learning lifecycle, from data and model development to deployment, monitoring, and continuous improvement.
The ideal candidate combines strong machine learning expertise with solid software engineering fundamentals and enjoys working in a fast-moving, ownership-driven environment.
Responsibilities
• Build and maintain production machine learning systems
• Develop scalable ML pipelines and deployment workflows
• Design, train, evaluate, and optimize machine learning models
• Monitor model performance and reliability in production
• Work with large-scale data processing systems
• Collaborate with engineering and product teams
• Improve infrastructure, tooling, and automation
• Contribute to architectural decisions and technical strategy
Required Skills
• Strong Python experience
• Experience deploying ML models into production
• Machine Learning engineering experience
• CI/CD and containerization experience
• SQL and NoSQL database knowledge
• Experience with streaming or batch processing systems
• Strong software engineering fundamentals
• Experience building scalable systems
Nice to Have
• NLP experience
• Trust & Safety or content analysis systems
• AI/ML platform experience
• Deep learning frameworks
• Cybersecurity or threat intelligence exposure
• Experience in startup or high-growth environments
Soft Skills
• Strong ownership mentality
• Pragmatic problem solver
• Excellent communication skills
• Collaborative team player
• Product-minded approach
• Comfortable working in fast-paced environments
Location Requirements
• This is a fully remote role for candidates based in Europe or able to work within standard European time zones.
• Candidates should already have valid work authorization for their country of residence.