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In-house feel, nearshore

PyTorch Developers

Hire PyTorch developers who build, train, and optimise deep learning models for real world applications. Our engineers support NLP, vision, recommender systems, and custom ML research.

  • Experts in PyTorch, tensors, and model optimisation
  • Great for AI research, ML products, and training pipelines
  • Timezone-aligned and embedded with your ML team
Hire PyTorch Developers
Software engineer working at a dual-monitor dev workspaceTraining PipelinesData LoadersModel OptimisationDeploymentMonitoring
TRUSTED BY 300+ENGINEERING TEAMS
Two engineers pair-programming together

Our Service

Vetted PyTorch Developers, Embedded in Your Team

Our CTO-led vetting process includes pair programming and ML problem solving to validate PyTorch fundamentals, model training, debugging, and communication ability. Developers are matched for technical and cultural fit.

  • Matched for PyTorch, Python, and ML engineering
  • CTO-led vetting with hands-on training and modelling tasks
  • HR, onboarding, and retention handled by Cloud Employee

HR, onboarding, and retention handled by Cloud Employee

PyTorch Engineering Expertise

The alternative

Get speed, fit and in-house feel without the hiring grind.

Cloud EmployeeIn-house hiringDev agenciesFreelancers
Speed to hire-
Flexibility to scale-
Developer fit (embedded)-
Full-time, only for you--
No overhead or upfront fees--

Solid lime = yes · outline lime = partial · grey dash = no

Why Cloud Employee?

PyTorch Developers Who Feel In-House

We embed PyTorch developers vetted through a CTO-led process who integrate into your ML organisation. With HR, L&D, and retention support, they help you ship reliable deep learning systems.

  • Direct collaboration with ML research and engineering
  • Full HR, compliance, and operations support
  • One transparent monthly fee, zero hiring pain
Long-tenure engineering team at work

Fully supported

We handle the rest so your engineers can focus on building.

Engineer in a performance review sessionPerformance reviews
Team member handling payroll and compliancePayroll & compliance
Dual-monitor engineering workstation and equipmentEquipment
Engineering team in a modern office workspaceWorkspace
Molly and Daniel on a welcome-to-the-team onboarding call

In-house, without the friction

No upfront fees. No lock-in contracts.

  • No placement or upfront fees
  • Rolling 30-day contract, cancel anytime
  • One monthly rate, everything included
  1. Role
  2. Skills
  3. Duration
  4. Commitment
  5. Details
  6. Book a call

What role are you hiring for?

Pick one to start - you'll see matching engineers at the end.

  • 300+ teams built
  • 97% stay 2+ years
  • Replace if it isn't working

Got questions?

The questions CTOs and founders ask.

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Proof, not promises

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In their words

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