Machine Learning Engineer (Remote)
Posted 2 days ago by Keystone Recruitment
Negotiable
Undetermined
Remote
EMEA
Summary: The Machine Learning Engineer role involves supporting the evaluation of advanced machine learning systems for a leading AI research initiative. This project-based position is suited for experienced ML engineers or applied researchers who excel in technical reasoning and system-level thinking. The engineer will design evaluation benchmarks and assess AI-generated solutions related to various ML tasks. The role is fully remote and offers flexible working hours.
Key Responsibilities:
- Design and write detailed evaluation suites for real-world machine learning engineering tasks
- Translate applied ML research and engineering workflows into structured benchmarks
- Evaluate AI-generated solutions related to model training, debugging, optimization, and experimentation
- Reason about ML system design choices, tradeoffs, and performance implications
- Produce clear, technically precise written assessments
Key Skills:
- 3+ years of experience in machine learning engineering or applied ML research
- Hands-on experience with model development, experimentation, and evaluation
- Background in ML research within an industry lab or academic setting (strongly preferred)
- Strong understanding of ML system design and optimization tradeoffs
- Excellent written communication skills and high attention to technical detail
Salary (Rate): undetermined
City: undetermined
Country: EMEA
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Title: Machine Learning Engineer
Employment Type: Hourly Contract
Location: Remote
Compensation: $100–$120 per hour
Role
One of our clients is hiring a Machine Learning Engineer to support the evaluation of advanced machine learning systems for a leading AI research initiative. This project-based role focuses on transforming real-world ML engineering workflows into structured evaluation benchmarks for frontier AI models.
About the Role
This position is ideal for experienced ML engineers or applied researchers who enjoy deep technical reasoning, experimentation, and system-level thinking. You will contribute directly to how cutting-edge AI systems are evaluated on practical machine learning engineering tasks.
Key Responsibilities
- Design and write detailed evaluation suites for real-world machine learning engineering tasks
- Translate applied ML research and engineering workflows into structured benchmarks
- Evaluate AI-generated solutions related to model training, debugging, optimization, and experimentation
- Reason about ML system design choices, tradeoffs, and performance implications
- Produce clear, technically precise written assessments
Ideal Qualifications
- 3+ years of experience in machine learning engineering or applied ML research
- Hands-on experience with model development, experimentation, and evaluation
- Background in ML research within an industry lab or academic setting (strongly preferred)
- Strong understanding of ML system design and optimization tradeoffs
- Excellent written communication skills and high attention to technical detail
More About the Opportunity
- Fully remote, asynchronous work completed on your own schedule
- Project-based engagement with potential extensions based on performance and project needs
- Weekly payments via Stripe or Wise
- Independent contractor classification
- No access to confidential or proprietary employer or client data
Apply Now