Crossing Hurdles

Machine Learning Engineer | Upto $150/hr Remote

⭐ - 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.
🌎 - Country
United Kingdom
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
150
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πŸ—“οΈ - Date
October 4, 2025
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United Kingdom
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🧠 - 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 world’s 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.