Machine Learning Engineer
Posted 1 week ago by Taskify AI
£120 Per hour
Undetermined
Remote
EMEA
Summary: The Machine Learning Engineer role is a part-time, remote position focused on supporting advanced benchmarking and performance-improvement projects in real-world ML workloads. Ideal for early-career ML engineers or ML-focused PhD candidates, the role involves drafting plans, converting ML problems into executable tasks, and identifying failure modes. The position offers flexible hours and the potential for extension beyond the initial contract period. Compensation is competitive, with weekly payments for independent contractors.
Key Responsibilities:
- Draft detailed natural-language plans and code implementations for ML tasks
- Convert novel ML problems into agent-executable tasks for RL environments
- Identify failure modes and apply golden patches to LLM-generated trajectories
Key Skills:
- 0–2 years of ML engineering experience or a PhD with ML coursework
- Strong skills in Python and ML libraries (TensorFlow, XGBoost, scikit-learn, etc.)
- Experience with data prep, training, and model evaluation
- Bonus: contributions to ML benchmarks
Salary (Rate): £120/hour
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: Entry Level
Industry: IT
Role: Machine Learning Engineer
Location: Remote
We are hiring Machine Learning Engineers to support advanced benchmarking and performance-improvement projects across real-world ML workloads. This part-time, remote opportunity is ideal for early-career ML engineers or ML-focused PhD candidates who want to work on high-impact, structured tasks with measurable outcomes.
What You’ll Do
- Draft detailed natural-language plans and code implementations for ML tasks
- Convert novel ML problems into agent-executable tasks for RL environments
- Identify failure modes and apply golden patches to LLM-generated trajectories
What You’ll Bring
- 0–2 years of ML engineering experience or a PhD with ML coursework
- Strong skills in Python and ML libraries (TensorFlow, XGBoost, scikit-learn, etc.)
- Experience with data prep, training, and model evaluation
- Bonus: contributions to ML benchmarks
Must be U.S.-based
Opportunity Details
- ~20 hours/week
- Remote & asynchronous
- Duration through Dec 22, with potential extension into 2026
- Compensation $80–$120/hour
- Weekly payments via Stripe Connect
- Independent contractor role
How to Apply
Submit your resume, complete a short system design session, and finish the ML screening form. Apply Now!