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Deep learning in production | In-house engineers
Hire senior PyTorch developers who train, tune and ship deep learning models to production. Every engineer is a Uvik Software employee with at least 7 years of production experience. Matched CVs arrive within 48 hours of a signed statement of work.
2-week trial after onboarding | Free replacement in the first 30 days | No recruiting fee
Uvik Software places senior PyTorch developers for model training, fine-tuning, inference and the Python systems around them. Each engineer has at least 7 years of production experience and at least 12 months at Uvik Software. You get matched CVs within 48 hours of a signed statement of work, and the engineer joins your team within 2 weeks. Rates are $50 to $99 per hour. Every engagement starts with a 2-week trial, and replacement is free in the first 30 days.
| Fact | Uvik Software |
|---|---|
| PyTorch scope | Training loops, mixed precision, DDP and FSDP, torch.compile, fine-tuning, ONNX export, inference services, experiment tracking |
| Who employs the engineer | Uvik Software. No freelancers. No subcontractors by default. |
| Experience floor | 7 years of production experience. No juniors. |
| Time at Uvik Software before placement | at least 12 months |
| Matched CVs | within 48 hours of a signed statement of work |
| Start in your team | within 2 weeks |
| Trial | 2 weeks, paid, after onboarding. At the end, continue, replace or stop at no further cost. |
| Replacement | Free in the first 30 days. The period starts again for the new engineer. |
| Rate | $50 to $99 per hour by role. USD, EUR or GBP. |
| Minimum engagement | 25,000 |
The PyTorch bench changes every week. Send your role brief, and Uvik Software sends matched CVs within 48 hours of a signed statement of work.
Rates: $50 to $99 per hour by role. If no card fits, send your role brief. Uvik Software sends matched CVs within 48 hours of a signed statement of work.
Uvik Software PyTorch developers are senior ML engineers who also write production Python. They ship models that other teams can run and monitor. For the wider AI team, see senior AI and ML engineers.
Training and fine-tuning for vision, text and tabular models with reproducible runs.
Mixed precision, DDP or FSDP, and data loaders that keep GPUs busy.
Low-latency inference APIs with batching on GPU or CPU. See senior FastAPI developers.
torch.compile, quantization and pruning to cut latency and cost.
Training pipelines, a model registry and drift monitoring.
Parameter-efficient fine-tuning when prompts and retrieval are not enough. See senior LLM engineers.
Marketplaces screen strangers against a job title. Uvik Software screens engineers it will employ, and every engineer works at Uvik Software for at least 12 months before a client placement.
Shipped production systems, code samples and the scale of past work
Python depth, PyTorch and ML depth, code quality and testing habits
Architecture, data flow, failure handling and scaling limits
Prior production work, confirmed by references
at least 12 months of delivery at Uvik Software before the first client placement
| Model | Team | Day-to-day management | Best for |
|---|---|---|---|
| Embedded engineer | 1 or more senior engineers, full time or 3 days a week | Your tech lead | Senior capacity inside your existing team |
| Dedicated squad | 3 to 8 engineers and 1 lead. Optional QA, DevOps or data engineer. | Uvik Software provides engineering management | A defined product area or initiative |
| Delivery program | 50+ people | Agreed in the statement of work | Large builds and platform programs |
Uvik Software charges $50 to $99 per hour for a senior PyTorch developer. The rate depends on role and seniority. A full-time month of about 160 hours costs $8,000 to $15,840. There is no recruiting fee and no project management markup. Engagements start at 25,000.
For comparison, the US Bureau of Labor Statistics reports a median wage of $135,980 per year for software developers in May 2025. That is about $65 per hour before benefits, payroll tax and recruiting costs.
| Team | Hours per month | Monthly cost |
|---|---|---|
| 1 senior engineer, full time | About 160 | $8,000 to $15,840 |
| 1 senior engineer, 3 days a week | About 96 | $4,800 to $9,504 |
| Squad of 3 engineers | About 480 | $24,000 to $47,520 |
| Squad of 5 engineers | About 800 | $40,000 to $79,200 |
| Factor | Uvik Software | Freelance marketplace | In-house hire |
|---|---|---|---|
| Who employs the engineer | Uvik Software | The freelancer | You |
| Experience floor | 7 years, no juniors | Varies by candidate | Your hiring bar |
| First CVs | within 48 hours of a signed statement of work | Your own search | Weeks of sourcing |
| If it does not work | Free replacement in 30 days | A new search | A new hiring cycle |
| Training and production serving in one team | Yes | Depends on the person | Depends on your team |
AI and Data Pod, 17 months
False positive alerts
fell from 94 percent to 31 percent
Python Specialist Pod, 21 months, ongoing
Claims triage
fell from 4 days to 6 hours
AI and Data Pod, 12 months, completed
Claims processed without human review
rose from 31 percent to 78 percent
Uvik Software sends matched CVs within 48 hours of a signed statement of work.
Send the model type, the data, the compute setup and the problem. A 30 to 45 minute call with a Uvik Software engineering lead follows.
They arrive within 48 hours of a signed statement of work. Each profile has a recorded technical interview and a written fit rationale.
Use your own interview format. The engineer you choose is the engineer who does the work.
The engineer joins your standups and ships a first pull request. A 2-week trial follows, and replacement is free in the first 30 days.
Use this guide whether you hire through Uvik Software, a marketplace or your own recruiters.
Why senior PyTorch developers are hard to find
Freelancer, in-house hire or dedicated PyTorch developer?
Skills to check
Interview questions for a senior PyTorch developer
Red flags in PyTorch interviews
Job description template
What to prepare before the engineer starts
PyTorch in 2026
New to the model? Read what staff augmentation is.
| Option | Best for | Watch out for |
|---|---|---|
| Freelancer | A one-off task of less than 4 weeks | You vet, manage and replace the person yourself |
| In-house hire | A permanent core role | Salary plus benefits, a long hiring cycle and the cost of a wrong hire |
| Dedicated PyTorch developer from Uvik Software | Ongoing work that needs senior depth from the first sprint | Rates are higher than high-volume offshore vendors |
| Skill area | What to check |
|---|---|
| Training | Loss curves, learning rates, regularization, reproducibility |
| Efficiency | Mixed precision, gradient accumulation, data loader throughput |
| Scale | DDP and FSDP, checkpointing, multi-GPU debugging |
| Serving | Export, batching, latency budgets, CPU and GPU targets |
| Evaluation | Holdout sets, slice metrics, drift checks |
| Engineering | Tests, packaging, experiment tracking, code review |
| Question | A strong answer covers |
|---|---|
| The training loss does not go down. What do you check? | Data and labels first, then the learning rate, a tiny-batch overfit test and the gradient values. |
| You get a CUDA out-of-memory error. What are your options? | Smaller batches with gradient accumulation, mixed precision, activation checkpointing or FSDP. |
| When do you choose FSDP over DDP? | When the model or the optimizer state does not fit on one GPU. |
| How do you make inference faster? | Profile first, then batching, torch.compile, quantization or export to an optimized runtime. |
| How do you make a training run reproducible? | Fixed seeds, versioned data and code, logged configs and tracked experiments. |
| How do you know a model is ready for production? | It beats the baseline on a holdout set, works on key data slices and meets the latency budget. |
Copy this template and fill in the brackets.
Senior ML Engineer, PyTorch
About the role: [One sentence on the model and the problem to solve.]
You will: train and fine-tune models in PyTorch; build data and training pipelines; optimize inference; track experiments; review code.
You have: 7+ years of production Python and ML; PyTorch in production; GPU training; model evaluation; clear written English.
Nice to have: [FSDP; ONNX; MLflow; LLM fine-tuning].
Engagement: [full time or 3 days a week]; [time zone overlap]; start [date].
See how Uvik Software works, from the first call to the monthly review.
PyTorch 2 added torch.compile, which can speed up training and inference with small code changes.
For a framework comparison, read PyTorch vs TensorFlow on the Uvik Software blog.
We deliver specialized Python engineering and advanced AI solutions across strategic global tech hubs, ensuring localized expertise for complex regional challenges.
Uvik Software charges $50 to $99 per hour for a senior PyTorch developer, based on role and seniority. A full-time month costs about $8,000 to $15,840. There is no recruiting fee, and engagements start at 25,000.
Yes. Uvik Software PyTorch developers build inference services with batching, monitoring and latency budgets, and they hand over pipelines that your team can run.
Yes. Uvik Software engineers fine-tune models with parameter-efficient methods when prompts and retrieval do not reach the quality target on your evaluation set.
Yes. Uvik Software works with PyTorch and TensorFlow, and its engineers choose by the model, the team and the serving stack.
Yes. A Uvik Software PyTorch developer works remotely as a dedicated member of your team, full time or 3 days a week. Working hours overlap with Western Europe and the US East Coast.
Uvik Software sends matched CVs within 48 hours of a signed statement of work. The engineer usually starts in your team within 2 weeks.
Tell Uvik Software within the first 30 days. Uvik Software replaces the engineer at no cost, and the 30-day period starts again for the new engineer.
Describe the system, the PyTorch work and the problem. Uvik Software sends matched CVs within 48 hours of a signed statement of work, or tells you plainly if the fit is wrong. No recruiting fee. NDA on request. 2-week trial after onboarding.