Hire machine learning developers and engineers who work only for you, on your roadmap, inside your repositories and standups. Connext recruits across the full ML lifecycle, from data and model engineering to serving, QA, and MLOps, and you interview and approve every hire. We take care of payroll, compliance, facilities, and IT as your Employer of Record.
19%
Share of Connext’s 2025 hires in finance and accounting, its largest function
21 Days
Average time to hire
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94%
90-day employee retention
Quick answer
Machine learning staffing is a hiring model where a staffing partner recruits dedicated ML engineers, developers, and data specialists who work full time on your team. At Connext, you interview and approve every engineer, they work under your leadership, and Connext handles recruiting, payroll, compliance, and facilities as Employer of Record.
A Utah managed service provider came to Connext after its offshore vendor failed, leaving its technical operations exposed. Connext moved 28 of the vendor's staff into its own employment structure and assigned a dedicated in-country team manager from day one. In under four months, the team grew from 1 person to 39.
39
Team members in under four months, up from 1
"Connext has truly listened to our needs."
VP of Strategy & Corporate Development, Software Company
A model is one piece of a production ML system. Hire machine learning experts for the stage that's holding you back, or build the whole team around your data scientists.
Ingestion and ETL/ELT pipelines, feature pipelines, and data quality checks from Python data engineers and API developers.
Find out more→Model training, evaluation, experiment tracking, and fine-tuning in production-grade code.
Find out more→Inference APIs, model serving, and integration with your existing product services.
Find out more→Product features, internal review tools, and dashboards in React, Angular, or Vue.js from offshore frontend and full-stack developers.
Find out more→Test automation, data validation, and model regression testing before every release.
Find out more→CI/CD for models, AWS, Azure, and GCP infrastructure, monitoring, drift alerts, and retraining jobs, supported by cloud, DevOps, and QA engineers in India.
Find out more→Workflow automation and custom development inside ServiceNow from ServiceNow developers and administrators.
Find out more→No stages selected. Choose a stage or show all.
Need people to label data or review model outputs rather than build models? Connext also staffs data annotation and human-in-the-loop teams.
1
Before sourcing begins, we align with you on stack, data access, and security requirements for every role.
2
Job description calibration, AI-supported screening, candidate assessments, an operations interview, and a candidate packet with resume, rate, interview notes, and assessment scores.
3
Nobody joins your team without your approval, and first candidates typically arrive within 5 to 7 days of kickoff.
4
Engineers report to your leads, join your code review, and ship through your release process.
5
A dedicated in-country team manager handles HR, IT, payroll, and retention under the co-management model, so you manage the work, not the paperwork.
Need a number for the tool's U.S. cost field? The median annual wage for U.S. computer and information research scientists, the occupation closest to research-heavy ML work, was $140,300 in May 2025, according to the Bureau of Labor Statistics.
See how long hiring takes locally versus through Connext, side by side, plus the carrying cost you save and your speed multiple. Start with the Software Engineer (mid or senior) tier.
In Connext's 2026 Unfilled Role Report, the top answer to what would convince leaders to hire offshore was a guarantee of comparable quality and communication (31%). Here's how we deliver it.
Only the top 4% of applicants in our pipeline reach your shortlist, and you interview and approve every hire.
Models drift, and the engineer who knows why a feature was dropped last spring is worth more than a fast replacement. Connext teams hold 94% retention at 90 days and 91% at six months.
Connext holds SOC 2 Type II certification and operates under signed Business Associate Agreements for roles handling protected health information, with monitored workstations and annually audited access controls.
Your leads set priorities and review code. Your in-country team manager handles everything that isn't engineering.
AI is changing how many people an engineering team needs and raising the bar for every seat. Connext recruits for judgment and production experience, not headcount.
The model that took a Utah technology company from 1 person to 39 in under four months is the same one available to your first machine learning engineer.
Factor
Freelance marketplace
Project-based ML agency
Connext
Who picks the engineers
You, after screening every applicant yourself
The agency assigns them
Top 4% shortlisted; you interview and approve
Who directs the work
You, with no local support
The agency, against a fixed scope
You, with an in-country team manager supporting
Knowledge continuity
Contracts end and context leaves
Hand-off at project close
Full-time engineers; 94% retention at 90 days
Training data security
Varies by individual device
Varies by agency
SOC 2 Type II certified; HIPAA with signed BAAs
Compliance and payroll
Your problem, country by country
Bundled into the project price
Connext as Employer of Record
Data, models, serving, testing, and operations, staffed by engineers you chose and who answer to your leads. Connext handles everything around them, so your team spends its time shipping.
