AI/ML Staffing
Powering the Next Wave of Innovation — Together
At Redtech, we connect exceptional AI and Machine Learning talent with the companies shaping the future of technology, automation, and intelligent systems.
Whether you're an organization looking to accelerate your AI initiatives or a professional ready to put your skills to work in a world that's rapidly changing — our AI/ML Staffing Division and Tech Refugee Program were built for this moment.
For Employers — Build Your AI Advantage
The demand for AI and data talent hasn't slowed — it's shifted. Even as Big Tech consolidates, companies across healthcare, manufacturing, logistics, finance, and government are scaling new AI and machine learning initiatives.
Redtech's AI/ML Staffing team delivers the specialized professionals who make these transformations real:
AI/ML Professionals We Place
- Data Scientists, Machine Learning Engineers, and AI Researchers
- Prompt Engineers and AI Product Managers
- Automation & RPA Developers
- MLOps, DataOps, and Cloud Engineers
- AI Compliance, Ethics, and Governance Experts
Our recruiters are embedded in the AI ecosystem — from startups training new foundation models to Fortune 500s modernizing their analytics stack. We combine traditional sourcing with AI-driven matching tools that analyze skills, outcomes, and project history to connect you with verified talent faster.
Why Clients Choose Redtech
- Access to hundreds of pre-vetted AI/ML professionals — many from top-tier tech firms
- Flexible engagement models — direct hire, contract, and fractional
- Rapid deployment — most roles filled in under two weeks
- U.S.-based recruiting experts with deep AI domain knowledge
"We don't just find candidates — we build AI teams that deliver measurable impact."
Want to learn more?
Contact our AI/ML Staffing team to discuss your project needs or schedule a talent consultation:
Contact Redtech AI StaffingFor Talent — Join the Tech Refugee Network
If you've been impacted by recent layoffs at Amazon, Microsoft, Meta, or another large tech employer, Redtech's Tech Refugee Program was built to help you land your next opportunity — fast.
We know the market is shifting. The same skills that powered the last decade of innovation — data science, cloud, DevOps, and AI engineering — are now in even higher demand across new industries that are just getting started with AI.
When you join our network, you get:
- Priority access to AI/ML openings nationwide
- Personalized introductions to companies actively building with AI
- Resume refresh & interview prep focused on emerging AI roles
- Confidential placement for professionals transitioning from Big Tech
"You're not starting over — you're helping the rest of the economy catch up."
Who We Represent
- Machine Learning & Data Engineers
- Computer Vision, NLP, and LLM Developers
- Automation Specialists (UiPath, Power Automate, etc.)
- AI/ML Product, Research, and Platform Professionals
Ready to join the network?
Register today to be matched with AI and ML opportunities:
Register as an AI/ML ProfessionalWhy Redtech
For over 20 years, Redtech has partnered with technology-driven organizations across the Pacific Northwest and beyond. Our recruiting team has scaled technical teams for Microsoft, Amazon, Expedia, T-Mobile, and hundreds of mid-market innovators.
Now, as AI reshapes every industry, we're bridging the gap between displaced Big Tech talent and the employers powering the next era of growth.
Redtech is where AI talent finds its next mission — and where companies find their competitive edge.
For Employers
For AI/ML Professionals
Machine Learning Staffing in Seattle, Bellevue & Redmond
Redtech is headquartered in Redmond, Washington, in the middle of the densest concentration of machine learning work in the country. We recruit locally, which means shortlists of engineers who can be onsite at your Seattle or Eastside office — not resumes forwarded from a national database.
Our recruiters have scaled technical teams for Microsoft, Amazon, Expedia, and T-Mobile, so they understand how Puget Sound ML teams are structured and what candidates in this market expect on comp, hybrid schedules, and scope.
Modeling & research
Machine learning engineers, applied scientists, computer vision and NLP/LLM developers, and research engineers.
Data & platform
Data engineers, MLOps and DataOps engineers, cloud and Azure/AWS platform engineers supporting model training and deployment.
Product & governance
AI product managers, prompt engineers, and AI ethics, compliance, and governance specialists for regulated and public sector programs.
Engagement models
- Contract and contract-to-hire for surge capacity on ML initiatives
- Direct hire for core, long-term modeling and platform roles
- Fractional and advisory engagements for teams standing up their first ML function
- Project-based teams for agentic AI builds
Common questions
How fast can you fill an ML role?
Most roles are filled in under two weeks from intake, using a pre-vetted AI/ML network.
Do you support onsite and hybrid work?
Yes — local recruiting means candidates who can commute to Seattle or Eastside offices, plus fully remote options when that fits the role.
Can you staff government AI programs?
Yes. See our public sector practice for Washington State and municipal engagements.