HIRE A REMOTE MACHINE LEARNING ENGINEER
Hire a Machine Learning Engineer for 82% Less
A remote Machine Learning Engineer who cleans the data, trains and evaluates models, and deploys them in a way your product team can maintain.
Elayne · 5 hires, from Executive Assistant to Developer · About $578K a year saved vs. New York · Read the full story →
1,100+Placements made
40+Countries we recruit from
40+Roles we fill
Technical & Data Hires
Product and Data Teams That Hired Through HireUA.
$250K
Saved per year on developers
Charlie AI
Charlie AI has hired more than a dozen mid-level and senior developers through HireUA over 4 years, at about $3,500 a month each.
15–18 hours
A week given back
Bramar Strategic Services
Brad hired Mira, a part-time Project Manager from Eastern Europe, who outpaced his expectations.
15 hours
Saved per week
Simply Scale
Jordan Nelson’s first hire ever, a Virtual Assistant, went from placement to decision in 10 days and took the open loops off his plate.
The Problem
Most Models Die in a Notebook.
Training a model is the easy part. Data pipelines, evaluation, deployment and monitoring are where ML projects stall. Hire an engineer, not just a researcher.
01
Notebook-Only Work
Impressive accuracy in Jupyter. No path to production.
02
Fragile Pipelines
Data prep done by hand, so nobody can retrain the model next quarter.
03
No Monitoring
Models drift quietly until a customer notices.
The Role
What a Strong Machine Learning Engineer Owns
From raw data to a model your product depends on.
01
Data Pipelines
Collection, cleaning and feature pipelines that can be rerun, not rebuilt.
02
Model Training
Choosing, training and tuning models for your problem, from classic ML to fine-tuned LLMs.
03
Evaluation
Test sets and metrics tied to the business outcome, not just accuracy.
04
Deployment
Models served behind APIs with versioning and rollback.
05
Monitoring
Drift, latency and cost tracked after launch.
06
Works With Product
Turns product questions into ML problems, and says when ML isn’t the answer.
More Client Stories
Startups, SaaS and Technical Hires.
Seth
VP of Operations · Hired a developer
“The certainty and speed that HireUA helped us achieve with the recommended developer has been a night-and-day difference.”
David Jacob
Inbox Manager and Developer
50–70% cost savings across 2 businesses
Alex
Client Success Manager & WordPress Developer
$160K–$200K saved per year across 2 roles
Connor
HubSpot Specialist
Keeps about $50 of every billable hour
“Used HireUA to hire my first employees for my company and they were absolutely fantastic. Helped pave the way for how I operate the business now. If you’re looking for extremely talented overseas employees, dont hesitate to reach of to HireUA. They make the process extremely simple and easy. They literally handle everything from sourcing, interview screening, managing, etc”
Adam Hamdan
Content team
“Pretty much I just go to you guys for every, like, managerial position in SEO.”
Bert Fernandez
2 Sales VAs
“We went from reports taking 8 to 10 hours a week to now — she’s able to click it out with her fingers, send out a report in 5 to 10 minutes per client.”
Joe
Shopify Store Manager
“If I had done this myself, it would have taken so much longer and cost us money in lost time and mistakes. Working with HireUA was easy and professional, and the cost difference compared to hiring locally was huge.”
Brandon Foy
Designer
“I look like a huge eight-figure construction company when it’s really just me and her.”
How We Screen
Shipped Models, Not Just Kaggle Scores.
Ask what happened after the model went live.
01
Define the Seat
Classic ML, deep learning or LLM fine-tuning? Research or production? Which data and stack?
02
Project Deep-Dive
Walk through one model end to end: data, metrics, deployment and what they’d change.
03
Paid Technical Task
A small, real problem on a sample of your data, with code you can review.
04
Explain the Result
Can they explain precision, recall and trade-offs to a founder?
Where We Recruit
Great ML Engineers Aren’t Limited to One Country.
Our Pricing Guide names Eastern Europe as the best region for every developer type it tracks, including AI Engineers and Python Developers. We start with the role, then pick the market.
01
Eastern Europe
The Pricing Guide’s best region for AI Engineers and Python Developers, the closest roles it tracks. We’ve placed people from 24 countries in the region.
02
Latin America
We’ve placed people from 14 Latin American countries, including Mexico, Colombia, Brazil and Argentina. Strong US time-zone overlap for client-facing, creative and sales roles.
03
The Philippines
Deep remote-work experience. Strong value for support, admin and repeatable production work where reliability and consistency matter.
04
South Africa
Excellent English and strong customer-facing talent, with natural overlap into the European workday and the US East Coast morning.
05
Middle East
Specialists and cross-functional talent, including Lebanon, Egypt and Turkey, when the role calls for it.
There’s no best country to hire from. There’s a best market for the job: experience, communication, working hours and pay decide where we search.
Machine Learning Engineer Salaries
What Does a Machine Learning Engineer Cost?
Our Pricing Guide doesn’t list Machine Learning Engineers separately, so we benchmark pay for each search. These are the closest tracked roles. That’s the person’s pay, not HireUA’s fee.
| Role | Monthly pay | Guide |
|---|---|---|
| AI Engineer (closest tracked role) | $4,500 to $6,000 | AI Developer guide → |
| Python Developer | $3,500 to $4,500 | Developer guide → |
| Back-End Developer | $3,500 to $4,500 | Developer guide → |
| Full-Stack Developer | $4,000 to $5,000 | Developer guide → |
Get the 2026 hiring guide
Roles, typical pay ranges and the best regions to hire from, all in one free PDF.
Process
From Open Seat to Qualified Candidates
01
Tell Us About the Seat
What the engineer owns, the tools you run, the hours you need and how you’ll measure it. Not sure which role? We’ll help you figure it out.
02
We Define the Search
We write the requirements from the actual work, then choose the talent markets that fit the role.
03
Meet Qualified Candidates
We source and screen candidates and present qualified professionals within 5 days of kickoff.
04
Choose Your Hire
You interview the finalists and decide who joins your team. Total hiring time depends on how fast you interview and decide.
Industries
Industries We Hire ML Engineers For
03
HubSpot & Salesforce Partners
Integrations and automation for client CRMs.
See CRM partner hiring →
Ready when you are
Meet vetted ML Engineers in 5 days.
Book a call, tell us about the data and the problem, and we’ll show you vetted candidates within 5 days of kickoff.
Vetted candidates · Monthly Hire or Direct Hire
Questions
Machine Learning Engineer Hiring FAQs
How much does it cost to hire a Machine Learning Engineer?
Our Pricing Guide doesn’t list this role separately, so we benchmark pay for each search. For comparison, AI Engineers typically earn $4,500–$6,000 a month and Python Developers $3,500–$4,500. That’s the person’s pay, not HireUA’s fee.
Machine Learning Engineer or AI Developer?
An ML Engineer trains, evaluates and deploys models on your data. An AI Developer builds features on top of existing models through APIs. If you don’t have proprietary data to train on yet, start with the AI Developer.
Can they work with our data team?
Yes. Include your stack, data sources and who they report to in the brief.
How quickly can I interview candidates?
Qualified candidates are presented within 5 days of kickoff. Total time to hire depends on how quickly you interview and decide.
How does HireUA charge?
Monthly Hire includes HireUA administering and paying the hire. Direct Hire costs 15% of annual salary, subject to a $3,000 minimum, and you employ the person directly.
How much can I save compared with hiring locally?
Clients save up to 82% compared with hiring locally. The exact number depends on the role, the seniority and the market we recruit from.
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The Right Engineer. The Right Seat. The Right Cost.
Tell us what you want your data to do. We’ll recruit qualified candidates from the market that fits the role.