

Crossing Hurdles
Machine Learning Engineer | Upto $150/hr Remote
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer on a remote, hourly contract for 2+ months, paying up to $150/hour. Requires strong applied machine learning experience or a PhD, Python skills, and familiarity with Docker.
π - Country
United Kingdom
π± - Currency
$ USD
-
π° - Day rate
150
-
ποΈ - Date
October 4, 2025
π - Duration
More than 6 months
-
ποΈ - Location
Remote
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
United Kingdom
-
π§ - Skills detailed
#Compliance #AI (Artificial Intelligence) #ML (Machine Learning) #Python #Docker
Role description
Crossing Hurdles is a recruitment firm. We refer top candidates to our partners working with the worldβs leading AI research labs to help build and train cutting-edge AI models.
Position: Machine Learning Engineer
Type: Hourly Contract
Compensation: Up to $150/hour
Location: Remote
Duration: 2+ months (with potential extension)
Commitment: ~20 hours/week, flexible and asynchronous
Role Responsibilities (Training support will be provided)
β’ Compile external ML competitions into realistic, challenging tasks involving model training, dataset preparation, and experimentation
β’ Draft detailed, executable natural language plans for completing machine learning engineering tasks
β’ Implement these plans in Python code within a provided Docker environment
β’ Validate code outputs against original plans and document any discrepancies
Requirements
β’ Strong years of experience in applied machine learning or a PhD in machine learning or a closely related field
β’ Strong Python engineering skills, particularly in model training and data handling workflows
β’ Familiarity with Docker-based development environments
β’ Detail-oriented mindset with ability to follow technical specifications precisely
β’ Experience in ML reproducibility, benchmarking, or experimental validation (preferred)
β’ Ability to work independently under compliance-aligned protocols
β’ Access to a desktop or laptop computer (Chromebooks are not supported)
Application Process (Takes <15 min)
β’ Submit resume
β’ Complete an AI interview (<10 minutes) and a brief form on ML experience
PS - This is an urgent requirement. Would advise you to complete application process asap.
Crossing Hurdles is a recruitment firm. We refer top candidates to our partners working with the worldβs leading AI research labs to help build and train cutting-edge AI models.
Position: Machine Learning Engineer
Type: Hourly Contract
Compensation: Up to $150/hour
Location: Remote
Duration: 2+ months (with potential extension)
Commitment: ~20 hours/week, flexible and asynchronous
Role Responsibilities (Training support will be provided)
β’ Compile external ML competitions into realistic, challenging tasks involving model training, dataset preparation, and experimentation
β’ Draft detailed, executable natural language plans for completing machine learning engineering tasks
β’ Implement these plans in Python code within a provided Docker environment
β’ Validate code outputs against original plans and document any discrepancies
Requirements
β’ Strong years of experience in applied machine learning or a PhD in machine learning or a closely related field
β’ Strong Python engineering skills, particularly in model training and data handling workflows
β’ Familiarity with Docker-based development environments
β’ Detail-oriented mindset with ability to follow technical specifications precisely
β’ Experience in ML reproducibility, benchmarking, or experimental validation (preferred)
β’ Ability to work independently under compliance-aligned protocols
β’ Access to a desktop or laptop computer (Chromebooks are not supported)
Application Process (Takes <15 min)
β’ Submit resume
β’ Complete an AI interview (<10 minutes) and a brief form on ML experience
PS - This is an urgent requirement. Would advise you to complete application process asap.