Often yes — useful models are built on thousands of rows, not millions. The first week is a feasibility check on your actual data; you get an honest go/no-go before committing to a build.
Hire vetted freelance machine learning engineers.Start with your idea.
Tell us what you need. Explore up to 3 available specialists, then create a free account to turn your brief into a project.
1. Brief 2. Matches 3. Free account
- Describe your project
Just 3 questions. No technical brief needed.
- Explore your matches
Compare experience and rates before signing up.
- Create an account & start hiring
Your project details come with you. No retyping.
What are you working on?
No account or card needed to see matches.
What our vetted Machine Learning Engineers take off your plate
- Predictive models: churn, demand, pricing, scoring
- ML pipelines with Python, scikit-learn, PyTorch, XGBoost
- Recommendation and personalization systems
- Computer vision and document/image classification
- Deploying models as APIs your product can actually call
- Data cleaning and feature engineering on messy real data
Typical freelance rates in 2026
| Level | Typical hourly rate | Best for |
|---|---|---|
| Mid-level | $45–80/hr | Models, pipelines, analysis |
| Senior | $70–130/hr | Production ML systems |
| Specialist/lead | $110–170/hr | Architecture, MLOps, scale |
Indicative market ranges; your matched specialist quotes an exact rate in the brief. Hourly work is billed weekly and processed only for the time you approve — so the rate is never a leap of faith.
From brief to shipped work in three steps
1. Describe the work
Share the goal, constraints and timeline. We turn it into a structured brief — no technical writing required from you.
2. Meet your match
We match you with a hand-verified specialist whose stack and track record fit — not a stack of proposals to screen.
3. Confirm weekly, pay weekly
Progress is tracked in a shared workspace. Each week you review — and payment is processed only after you approve.
Common questions
If the job is custom models trained on your data (forecasting, scoring, vision), an ML engineer. If it's building features on top of LLM APIs (assistants, document processing), an AI developer. Describe the goal in the brief and we match the right profile.
Feasibility + first model: $3–8k. Production system with deployment and monitoring: $10–30k. Weekly approve-first billing means you can stop at feasibility if the numbers don't justify going further.