Our new developers were able to hit the ground running, we've worked with them for over two years now, and they are truly part of our team.
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
Training PipelinesData LoadersModel OptimisationDeploymentMonitoring
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
- Build and customise deep learning models.
- Training PipelinesDevelop reproducible training and evaluation flows.

- Data LoadersCreate optimised dataset and dataloader pipelines.

- Model OptimisationProfile and improve training speed and accuracy.
- DeploymentExport models to ONNX or cloud endpoints.
- MonitoringLifecycle monitoring for drift or degradation.
The alternative
Get speed, fit and in-house feel without the hiring grind.
Solid lime = yes · outline lime = partial · grey dash = no
Vetting
You see two people - not 200 CVs.
Engineers vet engineers
A senior engineer runs a live technical conversation on the candidate's real stack, not a recruiter working from a keyword list.
Live coding, not take-homes
Real problems solved in front of an assessor, with anti-cheating checks. You see how they actually work, not what they submitted overnight.
A full profile, not a CV
Every candidate arrives with a resume, interview summary, coding-test breakdown and rate. You decide on evidence.
Every tab is a stage a candidate has to clear. Six of them, all run by our own internal engineers at Cloud Employee, before you see a name.
- Overview
- CV
- Tech interview
- Coding test
- Psychometric
- Soft skills
Scored by people. We use AI to cross-check our own consistency - never to decide who reaches your shortlist.
✓Luka M.
VettedSenior Software Engineer · TypeScript · Python · Cloud · 6 yrs · Zagreb, Croatia (GMT+1)
Assessment
Six years in production Python, the last three on LLM systems - retrieval pipelines, eval suites, and agent tooling for UK fintech. Owns delivery end to end.
AI in practiceShips with Copilot and Claude Code daily, and rewrote 40% of the generated code in his observed task - the judgement is his, the tooling only makes him faster.
Career history
Senior AI Engineer
UK payments platform · 40-person product team
Built the retrieval assistant now resolving 30% of tier-1 tickets; owns its eval suite and guardrails.
Backend Engineer, Python
Travel booking SaaS · Zagreb
Moved fraud scoring onto a real-time feature pipeline; cut false declines by 18%.
Data Engineer
Agency · Python, Postgres, AWS
- Python
- FastAPI
- LangGraph
- pgvector
- Evals & tracing
- AWS
- Docker
Technical interview
Assessed by Marco R., Principal Engineer
12 Jun 2026
55 min · live call
"Walked me through an assistant that was quietly hallucinating refund policy, how he caught it in evals, and what he got wrong on the first fix. Hire-ready for a senior seat."
Live coding test
Repair a leaking retrieval pipeline
88
score
retrieval.py · submitted diff
- hits = index.query(q, k=50)+ hits = index.query(rewrite(q), k=50, filter=tenant)+ hits = rerank(hits, q)[:8] # recall 0.62 -> 0.91+ assert_context_budget(hits, max_tokens=6000)
Psychometric · technical thinking
How he reasons under a real deadline - not a personality quiz.
Top 9%of engineers
we test
A 45-minute reasoning test, scored against the 4,000+ engineers we have already placed. Our assessors do the marking - AI only flags where our own scoring looks inconsistent.
Soft skills · working with your team
"He raised the payment edge case nobody else had spotted, in writing, two days before release."
This is what you receive - not a CV.
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

Fully supported
We handle the rest so your engineers can focus on building.
Performance reviews
Payroll & compliance
Equipment
Workspace
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
Ready to find your engineer?
Tell us exactly who you need.
In 90 seconds
Two matched engineers in 7 days. No fees, no obligation.
What role are you hiring for?
Pick one to start - you'll see matching engineers at the end.
- Founded in 2014
- 97% stay 2+ years
- Replace if it isn't working
Got questions?
The questions CTOs and founders ask.
Can't find your question?
Ask our AI chatbot, trained on every sales call we've had.
01How do you manage time zone differences?
02How is Cloud Employee different from a recruitment company?
03Is there a minimum number of employees I need to hire?
04What if a developer doesn't perform as expected?
05Do I communicate directly with the developer working with me?
06How quickly can you scale my team if needed?
07What level of project management support do you provide?
08What does your discovery call process entail?
09How is Cloud Employee different from a freelancer platform?
10Can I visit your offices and meet my Cloud Employee/s?
Proof, not promises
Hear from our customers
In their words














