

Ai Jobs
Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer, part-time (20 hours/week), remote, with a contract through December 22, potentially extending into 2026. Pay ranges from $80–$120/hour. Requires 0–2 years of ML experience or relevant PhD coursework, strong Python skills, and familiarity with ML libraries.
🌎 - Country
United Kingdom
💱 - Currency
$ USD
-
💰 - Day rate
960
-
🗓️ - Date
December 3, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
1099 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
United Kingdom
-
🧠 - Skills detailed
#TensorFlow #Model Evaluation #Python #ML (Machine Learning) #Libraries
Role description
Role: Machine Learning Engineer
Location: Remote
We are hiring Machine Learning Engineers to support advanced benchmarking and performance-improvement projects across real-world ML workloads. This part-time, remote opportunity is ideal for early-career ML engineers or ML-focused PhD candidates who want to work on high-impact, structured tasks with measurable outcomes.
What You’ll Do
• Draft detailed natural-language plans and code implementations for ML tasks
• Convert novel ML problems into agent-executable tasks for RL environments
• Identify failure modes and apply golden patches to LLM-generated trajectories
What You’ll Bring
• 0–2 years of ML engineering experience or a PhD with ML coursework
• Strong skills in Python and ML libraries (TensorFlow, XGBoost, scikit-learn, etc.)
• Experience with data prep, training, and model evaluation
• Bonus: contributions to ML benchmarks
• Must be U.S.-based
Opportunity Details
• ~20 hours/week
• Remote & asynchronous
• Duration through Dec 22, with potential extension into 2026
Compensation
• $80–$120/hour
• Weekly payments via Stripe Connect
• Independent contractor role
How to Apply
Submit your resume, complete a short system design session, and finish the ML screening form.
Apply Now!
Role: Machine Learning Engineer
Location: Remote
We are hiring Machine Learning Engineers to support advanced benchmarking and performance-improvement projects across real-world ML workloads. This part-time, remote opportunity is ideal for early-career ML engineers or ML-focused PhD candidates who want to work on high-impact, structured tasks with measurable outcomes.
What You’ll Do
• Draft detailed natural-language plans and code implementations for ML tasks
• Convert novel ML problems into agent-executable tasks for RL environments
• Identify failure modes and apply golden patches to LLM-generated trajectories
What You’ll Bring
• 0–2 years of ML engineering experience or a PhD with ML coursework
• Strong skills in Python and ML libraries (TensorFlow, XGBoost, scikit-learn, etc.)
• Experience with data prep, training, and model evaluation
• Bonus: contributions to ML benchmarks
• Must be U.S.-based
Opportunity Details
• ~20 hours/week
• Remote & asynchronous
• Duration through Dec 22, with potential extension into 2026
Compensation
• $80–$120/hour
• Weekly payments via Stripe Connect
• Independent contractor role
How to Apply
Submit your resume, complete a short system design session, and finish the ML screening form.
Apply Now!





