ML Engineer; Remote
Remote / Online - Candidates ideally in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-10-26
Greater London, London, Greater London, W1B, England, UK
Listing for:
Synthires
Part Time, Remote/Work from Home
position Listed on 2026-10-26
Job specializations:
-
Software Development
Machine Learning/ ML Engineer, Python, AI Engineer (Applied/Software), Data Scientist
Job Description & How to Apply Below
Position:
ML Engineer (MSc. or PhD)
Type:
Contractor (Part-Time, approximately 15 hours/week)
Compensation: $60–$120/hour
Location:
Remote (Worldwide)
About the Opportunity
This opportunity is for experienced Machine Learning Engineers to contribute to AI training projects involving model development, training and inference systems, and performance optimization. The role is highly coding-intensive, with a focus on Python, reproducible workflows, and coding agents.
Key Responsibilities- Develop and validate machine learning models, training pipelines, and inference systems.
- Implement model components, data pipelines, evaluation systems, and numerical methods.
- Build reproducible workflows using Python and command-line tools.
- Debug numerical and system-level issues and optimize memory usage and performance.
- Create, solve, review, and validate challenging machine learning engineering tasks.
- Master's degree or PhD in Computer Science, Machine Learning, AI, Applied Mathematics, Statistics, Engineering, or a related quantitative field.
- Strong professional or research experience in machine learning.
- Practical proficiency in Python and experience using coding agents.
- Ability to implement, debug, and validate complex machine learning workflows.
- Experience at an established technology company, AI laboratory, or research organization.
- Exceptional academic or open-source engineering experience demonstrating relevant expertise.
- $60–$120/hour
, with output-based payment for tasks meeting project specifications. - Approximately 15 hours per week with a flexible schedule.
- Immediate availability preferred; first task expected within 24–48 hours after onboarding.
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