ML Engineer (MSc. or PhD) | $60-$120/hr Remote

Remotefolio; United Kingdom; On-site; GBP 25,000 - 45,000; Part time

Job summary

Remotefolio is seeking a part-time, flexible role focused on developing and validating machine learning models, training pipelines and inference systems. You will implement model components, data pipelines and evaluation systems, while building reproducible workflows with Python and command-line tools.

The ideal candidate holds a Master’s or PhD in a quantitative field and has strong ML experience, with a preference for those from established tech companies, AI labs, or with notable open-source

Qualifications

• Master’s degree or PhD in a quantitative field (CS/ML/AI/Applied Math/Statistics/Engineering).
• Strong professional or research experience in machine learning.
• Proficiency with Python and coding agents.
• Experience at a well-established technology company or AI lab preferred; open-source or academic work may qualify.

Responsibilities

• Develop and validate machine learning models, training pipelines and inference systems.
• Implement model components, data pipelines, evaluation systems and numerical methods.
• Build reproducible programmatic workflows using Python and command-line tools.

Skills

Python

ML experience

Education

Master's degree or PhD in CS/ML/AI/Applied Math/Statistics/Engineering

Job description

Commitment: Part-time, flexible, task-based

Role Responsibilities

• Develop and validate machine learning models, training pipelines and inference systems.
• Implement model components, data pipelines, evaluation systems and numerical methods.
• Build reproducible programmatic workflows using Python and command-line tools.

Requirements

• A master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering or a closely related quantitative discipline.
• Strong professional or research experience in machine learning.
• Practical proficiency with Python and coding agents.
• Experience at a well-established technology company, AI laboratory or research organization is strongly preferred. Exceptional open-source or academic experience may also qualify.