Freelance Machine Learning Engineer

🔒 Confidential Employer
Posted 7 May 2026
LOCATION
Remote
TYPE
Contract
LEVEL
Mid-Senior level
SALARY
£55 / hour
CATEGORY
Technology
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Python Machine Learning Statistical Analysis SQL GenAI (LLMs, RAG, Prompt Engineering) TensorFlow/PyTorch MLOps

FULL DESCRIPTION

Freelance Machine Learning Engineer

[Employer hidden — sign up to reveal] connects specialists with project-based AI opportunities for leading tech companies. This role involves designing original STEM problems, creating Python-intensive computational puzzles, and verifying solutions. Ideal for ML specialists with 5+ years experience and expert Python, SQL, and statistical analysis skills. Compensation up to $55/hour on a part-time, project basis.

What this opportunity involves

  • Design original computational STEM problems that simulate real scientific workflows
  • Create problems that require Python programming to solve
  • Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)
  • Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches
  • Verify solutions using Python with standard libraries (Numpy, Pandas, Scipy, scikit-learn)
  • Document problem statements clearly and provide verified correct answers

What we look for

  • 5+ years of hands-on machine learning experience with proven business impact
  • Portfolio of completed projects and publications showcasing real-world problem-solving
  • Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)
  • Expert statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications
  • Expert with SQL and database operations for data manipulation and analysis
  • Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)
  • Understanding of MLOps practices and model deployment workflows
  • Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)
  • Strong written English (C1+)

Compensation

On this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise.

How it works

Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid

Project time expectations

For this project, tasks are estimated to require around 10–20 hours per week during active phases.

Please submit your CV in English and indicate your level of English proficiency.

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