Azumo vs Harnham: full comparison for 2026
Quick verdict
Azumo (3.9/5) edges ahead of Harnham (3.7/5) overall. Azumo is the better choice for U.S. teams on a tight budget that need ML engineers who work their hours. Harnham is the stronger option for companies hiring permanent data or ML staff in the UK or U.S. through a specialist agency. The right choice depends on your project size, budget, and required tech stack.
Azumo vs Harnham: head-to-head summary
| Criterion | Azumo | Harnham |
|---|---|---|
| Founded | 2016 | 2006 |
| HQ | San Francisco, California, USA | London, United Kingdom |
| Team size | 50–249 | 100–500 |
| Rating | 3.9 / 5 | 3.7 / 5 |
| Primary differentiator | The lowest published hourly band on this page with full U.S. time-zone overlap | Twenty years of recruiting only in data and analytics |
| Pricing model | $25–$49/hr (Clutch band); monthly staff augmentation or dedicated team | Placement fee for permanent hires; contractor day or hourly rates; rates on request |
| Min. engagement | $10,000+ | Not published |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, SQL, Spark |
| Industries served | SaaS, Fintech, Healthcare, Retail, Media | Financial services, Retail, Healthcare, Media, Technology |
Azumo vs Harnham: overview
Azumo
Azumo was founded in 2016, is headquartered in San Francisco and delivers mostly from Argentina, with an office in Rosario. Clutch lists an hourly band of $25 to $49 and a $10,000 minimum project, the lowest published rate on this page. It offers staff augmentation, dedicated nearshore teams and virtual CTO services, and it won a Clutch award as a top AI developer in 2023. Its engineers keep U.S. hours, so daily stand-ups are easy. The catch is depth. AI is a strong practice but one of several, and specialist experience varies by role.
Harnham
Harnham has recruited for data and analytics roles since 2006 from London, with offices in the U.S. including New York and San Francisco. It places data engineers, data scientists and ML engineers on contract or permanent terms and runs a graduate training arm, Rockborne. As a recruitment agency, it screens through consultants who specialise in data hiring rather than through practising engineers, and contractors are not managed after placement the way a staffing firm's employees are. That makes it better for permanent hires than for managed augmentation.
Services and capabilities: Azumo vs Harnham
| Capability | Azumo | Harnham |
|---|---|---|
| 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: Azumo vs Harnham
| Framework / platform | Azumo | Harnham |
|---|---|---|
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | N/A |
| LangChain | ✓ | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | ✓ | N/A |
| Databricks | N/A | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: Azumo vs Harnham
| Criterion | Azumo | Harnham |
|---|---|---|
| Minimum engagement | $10,000+ | Not published |
| Engagement models | Dedicated engineer, Dedicated team, Project delivery | Direct hire, Contract-to-hire, Freelance contract |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Mid-market |
Target audience comparison: Azumo vs Harnham
| Dimension | Azumo | Harnham |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Fintech, Healthcare | Financial services, Retail, Healthcare |
| Best use cases | Adding a nearshore LLM engineer to a U.S. SaaS team, Building a data engineering squad on a startup budget | Hiring a permanent head of data science in London, Placing a contract data engineer for six months |
| Typical project type | Dedicated engineer | Direct hire |
Azumo vs Harnham: pros and cons
| Azumo | |
|---|---|
| + | Published hourly band is the lowest on this list |
| + | Argentina shares working hours with U.S. teams |
| + | Clutch cost rating of 4.8 |
| - | AI is one of several practices, not the whole company |
| - | Fewer research-grade ML specialists than AI-only firms |
| - | Team size reported between 50 and 500 depending on the source |
| Harnham | |
|---|---|
| + | Long specialist history in data recruiting |
| + | Offices in the UK and several U.S. cities |
| + | Both contract and permanent hiring |
| - | Screening by recruitment consultants, not engineers |
| - | Contractors are not managed after placement |
| - | Headcount estimates vary |
Who should choose Azumo?
A typical fit: adding a nearshore LLM engineer to a U.S. SaaS team.
The lowest published hourly band on this page with full U.S. time-zone overlap. Minimum engagement starts at $10,000+. Works best with clients in SaaS, Fintech, Healthcare, Retail, Media.
Who should choose Harnham?
A typical fit: hiring a permanent head of data science in London.
Twenty years of recruiting only in data and analytics. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Retail, Healthcare, Media, Technology.
Decision matrix: Azumo vs Harnham
| Your situation | Recommended choice |
|---|---|
| You want a working engineer, not a recruiter, to run the technical screen | Neither documents an engineer-led screen; run your own technical interview |
| You need one specialist for a few days a week | Neither advertises part-time experts; ask about reduced hours |
| You need several engineers working as one team | Azumo |
| You want to test an engineer before committing | Neither publishes a trial; negotiate a short first term |
| Your budget is at the lower end | Compare: Azumo ($10,000+) vs Harnham (Not published) |
| Your team works U.S. hours | Azumo |
| You may want to hire the engineer permanently later | Harnham |
Use case fit: Azumo vs Harnham
| Use case | Azumo fit | Harnham fit | Winner |
|---|---|---|---|
| Adding a nearshore LLM engineer to a U.S. SaaS team | Strong | Limited | Azumo |
| Building a data engineering squad on a startup budget | Strong | Limited | Azumo |
| Hiring a permanent head of data science in London | Limited | Strong | Harnham |
| Placing a contract data engineer for six months | Limited | Strong | Harnham |
Verdict: Azumo vs Harnham
Azumo (3.9/5) is the stronger overall choice for most AI Engineer Staffing projects. The lowest published hourly band on this page with full U.S. time-zone overlap.
Harnham (3.7/5) is worth a look if you need placing a contract data engineer for six months. If your situation matches that, Harnham is a competitive option.
Related comparisons
Azumo vs Harnham FAQ
Is Azumo better than Harnham?
Azumo (3.9/5) scores higher overall, but "better" depends on your use case. Azumo's strongest advantage: published hourly band is the lowest on this list. Harnham's strongest advantage: long specialist history in data recruiting.
How do Azumo and Harnham differ in pricing?
Azumo uses $25–$49/hr (clutch band); monthly staff augmentation or dedicated team pricing with a minimum engagement of $10,000+. Harnham uses placement fee for permanent hires; contractor day or hourly rates; 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: Azumo or Harnham?
Harnham 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 Azumo and Harnham?
Azumo's primary differentiator is: the lowest published hourly band on this page with full U.S. time-zone overlap. Harnham's primary differentiator is: twenty years of recruiting only in data and analytics. They also differ in team size (50–249 vs 100–500), minimum engagement ($10,000+ vs Not published), and primary industries served (SaaS, Fintech vs Financial services, Retail).
Verify all details directly with each company before making a decision.