Free Machine Learning Engineer
Service Agreement
One 'accidental' cloud hosting overrun or a data leakage lawsuit will gut your bank account and bury your business. If you don't nail down who owns the model weights, you're just handing over the keys to the kingdom for pennies on the dollar.
Pro Contractor Tip
Insert a 'Liability Cap' clause so a minor algorithmic error doesn't let the client sue you for every dime you've ever made or will make.
Why use a written agreement?
Handshake deals are risky. As a Machine Learning Engineer, "scope creep" is your biggest enemy. A clear agreement ensures everyone agrees on the deliverables before money changes hands.
🛡️ What this sequence covers:
- ✓Deliverables List
- ✓Payment Terms
- ✓IP Rights
- ✓Revision Limits
- ✓Cancellation Policy
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Start building now →Statement of Work
REF: 2026-0011. Project Background
This Agreement is entered into by and between the Client and the Contractor. The Client wishes to engage the Contractor for professional Machine Learning Engineer services.
2. Scope of Services
The Contractor shall provide the following deliverables:
- Cleaned Training Dataset
- Model Weight Checkpoints
- Inference API Documentation
- Latency Performance Report
- Containerized Deployment Package
- ETL Pipeline Scripts
3. Performance Standards
The Contractor agrees to perform the Machine Learning Engineer services in a professional manner, using the degree of skill and care that is required by current industry standards.
TERMS & CONDITIONS (Summary):
1. Payment: 50% Deposit required.
2. Copyright: Rights transfer to Client upon full payment.
Disclaimer: This template is for educational purposes only.
Frequently Asked Questions
What do I do if the client keeps demanding higher accuracy before they'll pay?
Define your 'Acceptance Criteria' in the contract using hard metrics so 'good enough' is a fixed target, not a moving goalpost that eats your profit.
Who covers the five-figure cloud compute bill for training the model?
Never bankroll a client's overhead; a solid agreement mandates they provide the infrastructure or prepay the compute costs before you hit 'train'.
The client wants the source code and all my custom utility scripts—is that standard?
Only if you want to lose your edge; use the contract to distinguish between their 'Work Product' and your 'Background IP' so you keep your proprietary tools when the job is done.