Toptal vs Proxify: full comparison for 2026
Quick verdict
Toptal (4.5/5) edges ahead of Proxify (4.4/5) overall. Toptal is the better choice for engineering leads who need one senior freelance ML specialist quickly and can pay a premium. Proxify is the stronger option for european companies that want a vetted ML or data engineer on European working hours. The right choice depends on your project size, budget, and required tech stack.
Toptal vs Proxify: head-to-head summary
| Criterion | Toptal | Proxify |
|---|---|---|
| Founded | 2010 | 2018 |
| HQ | Remote-first (no central office) | Stockholm, Sweden |
| Team size | Staff size not published; large freelance network | 5,000+ network members |
| Rating | 4.5 / 5 | 4.4 / 5 |
| Primary differentiator | Multi-stage screening that ends with interviews by senior engineers and a test project | Senior-engineer interviews with live coding after an automated skills test |
| Pricing model | Freelance hourly or weekly rates set per engineer; no-risk trial period; rates on request | Hourly rate per developer billed monthly; full-time or part-time; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, PyTorch, TensorFlow |
| Industries served | Technology, Finance, Healthcare, Media, Retail | SaaS, Fintech, E-commerce, Media, Healthcare |
Toptal vs Proxify: overview
Toptal
Toptal, founded in 2010 and run as a remote-first company, is a freelance marketplace rather than an employer, and its AI pool covers machine learning, generative AI, NLP and LLM work. Its screening is the most documented of any network here. The FAQ describes a process of three to eight weeks: an English and communication check, algorithm and computer science tests, several technical interviews with senior engineers, and a test project. Toptal says fewer than 3% of applicants get through. New engagements start with a no-risk trial period. The trade-off is price and continuity, because freelancers set their own rates and can leave for another client.
Proxify
Proxify was founded in Stockholm in 2018 (one of its own pages says 2019) and matches companies with vetted developers across web, data, AI and DevOps. Candidates take Codility-based skills tests, then sit in-depth technical interviews with Proxify's senior engineers that include live coding and practical problems. The company quotes an acceptance rate of 1–3%, though the figure varies from page to page. Its network covers more than 5,000 professionals in over 90 countries, and it appeared on the Financial Times 1,000 list in 2025. Matching uses in-house AI tools alongside its hiring team.
Services and capabilities: Toptal vs Proxify
| Capability | Toptal | Proxify |
|---|---|---|
| ML engineers | ✓ | ✓ |
| LLM / GenAI engineers | ✓ | ✓ |
| AI agent developers | ✗ | ✗ |
| MLOps engineers | ✗ | ✗ |
| Computer vision engineers | ✗ | ✗ |
| NLP engineers | ✓ | ✗ |
| Data engineers | ✗ | ✓ |
| Engineer-led technical screen | ✓ | ✓ |
| Fractional / part-time experts | ✓ | ✓ |
| Trial before commitment | ✓ | ✗ |
| Nearshore time-zone overlap | ✗ | ✗ |
| Direct hire option | ✗ | ✗ |
Tech stack comparison: Toptal vs Proxify
| Framework / platform | Toptal | Proxify |
|---|---|---|
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| LangChain | ✓ | N/A |
| Hugging Face | ✓ | N/A |
| OpenAI | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | ✓ | ✓ |
| Databricks | N/A | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: Toptal vs Proxify
| Criterion | Toptal | Proxify |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Freelance contract, Fractional expert, Trial period | Dedicated engineer, Fractional expert, Freelance contract |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Toptal vs Proxify
| Dimension | Toptal | Proxify |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Technology, Finance, Healthcare | SaaS, Fintech, E-commerce |
| Best use cases | Hiring one senior NLP freelancer for a three-month search relevance project, Adding a part-time LLM specialist to review an in-house prototype | Adding a data engineer to a European fintech's analytics team, Hiring a Python ML developer for a recommender system |
| Typical project type | Freelance contract | Dedicated engineer |
Toptal vs Proxify: pros and cons
| Toptal | |
|---|---|
| + | Engineer-run interviews and a test project are published parts of the screen |
| + | Part-time and hourly engagements are normal, so a ten-hour-a-week specialist is easy to arrange |
| + | The no-risk trial lets you stop early without paying if the match is wrong |
| - | Freelancers are not Toptal employees and may move on to other clients |
| - | Among the most expensive options on this page, and no public rate card |
| - | The screen is general software screening; there is no published ML-specific test |
| Proxify | |
|---|---|
| + | Live-coding interviews with in-house senior engineers are part of the published process |
| + | Most of the network is in European time zones, which suits teams in the EU and UK |
| + | Grew fast enough to make the Financial Times 1,000 list in 2025 |
| - | AI is one of many skill areas, and there is no AI-specific test on the record |
| - | Acceptance-rate and network-size figures differ across the company's own pages |
| - | Developers are contractors on the platform, not Proxify employees |
Who should choose Toptal?
A typical fit: hiring one senior NLP freelancer for a three-month search relevance project.
Multi-stage screening that ends with interviews by senior engineers and a test project. Minimum engagement is not publicly disclosed. Works best with clients in Technology, Finance, Healthcare, Media, Retail.
Who should choose Proxify?
A typical fit: adding a data engineer to a European fintech's analytics team.
Senior-engineer interviews with live coding after an automated skills test. Minimum engagement is not publicly disclosed. Works best with clients in SaaS, Fintech, E-commerce, Media, Healthcare.
Decision matrix: Toptal vs Proxify
| Your situation | Recommended choice |
|---|---|
| You want a working engineer, not a recruiter, to run the technical screen | Both; Toptal rates higher overall |
| You need one specialist for a few days a week | Both; Toptal rates higher overall |
| You need several engineers working as one team | Proxify |
| You want to test an engineer before committing | Toptal |
| Your budget is at the lower end | Compare: Toptal (Not published) vs Proxify (Not published) |
| Your team works U.S. hours | Neither lists Latin American engineers; confirm overlap hours in the contract |
| You may want to hire the engineer permanently later | Neither lists direct hire; agree conversion terms up front |
Use case fit: Toptal vs Proxify
| Use case | Toptal fit | Proxify fit | Winner |
|---|---|---|---|
| Hiring one senior NLP freelancer for a three-month search relevance project | Strong | Strong | Both equally |
| Adding a part-time LLM specialist to review an in-house prototype | Strong | Strong | Both equally |
| Adding a data engineer to a European fintech's analytics team | Strong | Strong | Both equally |
| Hiring a Python ML developer for a recommender system | Strong | Strong | Both equally |
Verdict: Toptal vs Proxify
Toptal (4.5/5) is the stronger overall choice for most AI Engineer Staffing projects. Multi-stage screening that ends with interviews by senior engineers and a test project.
Proxify (4.4/5) is worth a look if you need hiring a Python ML developer for a recommender system. If your situation matches that, Proxify is a competitive option.
Related comparisons
Toptal vs Proxify FAQ
Is Toptal better than Proxify?
Toptal (4.5/5) scores higher overall, but "better" depends on your use case. Toptal's strongest advantage: engineer-run interviews and a test project are published parts of the screen. Proxify's strongest advantage: live-coding interviews with in-house senior engineers are part of the published process.
How do Toptal and Proxify differ in pricing?
Toptal uses freelance hourly or weekly rates set per engineer; no-risk trial period; rates on request pricing. Proxify uses hourly rate per developer billed monthly; full-time or part-time; rates on request pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Toptal or Proxify?
Proxify is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each company before shortlisting.
What are the main differences between Toptal and Proxify?
Toptal's primary differentiator is: multi-stage screening that ends with interviews by senior engineers and a test project. Proxify's primary differentiator is: senior-engineer interviews with live coding after an automated skills test. They also differ in team size (Staff size not published; large freelance network vs 5,000+ network members), minimum engagement (Not published vs Not published), and primary industries served (Technology, Finance vs SaaS, Fintech).
Verify all details directly with each company before making a decision.