

Crossing Hurdles
Machine Learning Engineer | Remote
โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer on a short-term, project-based hourly contract, offering $100 to $120 per hour. Key requirements include strong experience in machine learning engineering and applied ML research, with a preference for industry or academic backgrounds.
๐ - Country
United Kingdom
๐ฑ - Currency
$ USD
-
๐ฐ - Day rate
960
-
๐๏ธ - Date
February 8, 2026
๐ - Duration
Unknown
-
๐๏ธ - Location
Remote
-
๐ - Contract
Unknown
-
๐ - Security
Unknown
-
๐ - Location detailed
United Kingdom
-
๐ง - Skills detailed
#Debugging #ML (Machine Learning) #AI (Artificial Intelligence)
Role description
Position: Machine Learning Engineer
Type: Hourly contract
Compensation: $100 to $120 per hour
Location: Remote
Commitment: Short-term, project-based
Role Responsibilities
โข Design and write detailed evaluation suites for machine learning engineering tasks.
โข Assess AI generated solutions across model training, debugging, optimization, and experimentation.
โข Translate real world ML workflows into structured benchmarks for frontier models.
โข Apply strong technical judgment to evaluate ML system design choices and tradeoffs.
โข Work independently within a research driven, asynchronous project environment.
Requirements
โข Strong experience in machine learning engineering or applied ML research.
โข Hands on experience with model development, experimentation, and evaluation.
โข Background in ML research in industry or academic settings preferred.
โข Strong written communication skills and high attention to technical detail.
โข Ability to work independently and deliver high quality outputs on short timelines.
Application Process (Takes 20 Min)
โข Upload resume
โข Short assessment
โข Submit form
Position: Machine Learning Engineer
Type: Hourly contract
Compensation: $100 to $120 per hour
Location: Remote
Commitment: Short-term, project-based
Role Responsibilities
โข Design and write detailed evaluation suites for machine learning engineering tasks.
โข Assess AI generated solutions across model training, debugging, optimization, and experimentation.
โข Translate real world ML workflows into structured benchmarks for frontier models.
โข Apply strong technical judgment to evaluate ML system design choices and tradeoffs.
โข Work independently within a research driven, asynchronous project environment.
Requirements
โข Strong experience in machine learning engineering or applied ML research.
โข Hands on experience with model development, experimentation, and evaluation.
โข Background in ML research in industry or academic settings preferred.
โข Strong written communication skills and high attention to technical detail.
โข Ability to work independently and deliver high quality outputs on short timelines.
Application Process (Takes 20 Min)
โข Upload resume
โข Short assessment
โข Submit form






