Python Developer | Remote

Python Developer | Remote

Posted Today by Crossing Hurdles

Negotiable
Undetermined
Remote
United Kingdom

Summary: The role involves joining Mercor’s Machine Learning Engineer Network as a part-time or project-based position, focusing on machine learning model development and optimization. Candidates will work remotely, contributing to AI-driven projects and collaborating with engineering teams. An initial AI interview is required for eligibility in relevant job listings. The position offers flexible hours ranging from 10 to 40 hours per week.

Key Responsibilities:

  • Join Mercor’s Machine Learning Engineer Network to be matched with companies hiring for ML-focused roles
  • Contribute to machine learning model development and applied AI system optimization
  • Work with Python and ML frameworks such as PyTorch or TensorFlow
  • Support model deployment and MLOps workflows
  • Participate in AI-driven opportunity matching for full-time, part-time, or project-based roles
  • Complete an initial AI interview to become eligible for relevant listings aligned with experience

Key Skills:

  • Professional experience in machine learning engineering
  • Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
  • Experience with model deployment and MLOps workflows
  • Strong understanding of applied AI system optimization
  • Ability to collaborate with AI labs and cross-functional engineering teams
  • Willingness to complete an AI interview for opportunity matching

Salary (Rate): £250.00/hr

City: undetermined

Country: United Kingdom

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Position: Join Expert Network: Machine Learning Engineer

Type: Part-time / Project-based

Compensation: $70–$250 per hour

Location: Remote

Commitment: 10–40 hours/week

Role Responsibilities

  • Join Mercor’s Machine Learning Engineer Network to be matched with companies hiring for ML-focused roles
  • Contribute to machine learning model development and applied AI system optimization
  • Work with Python and ML frameworks such as PyTorch or TensorFlow
  • Support model deployment and MLOps workflows
  • Participate in AI-driven opportunity matching for full-time, part-time, or project-based roles
  • Complete an initial AI interview to become eligible for relevant listings aligned with experience

Requirements

  • Professional experience in machine learning engineering
  • Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
  • Experience with model deployment and MLOps workflows
  • Strong understanding of applied AI system optimization
  • Ability to collaborate with AI labs and cross-functional engineering teams
  • Willingness to complete an AI interview for opportunity matching

Application Process (Takes 20 Mins)

  • Upload resume
  • Interview (15 min)
  • Submit form