Turing vs Harnham: full comparison for 2026
Quick verdict
Turing (4.1/5) edges ahead of Harnham (3.7/5) overall. Turing is the better choice for companies that need many remote ML and data engineers quickly and value speed over hand-picked screening. 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.
Turing vs Harnham: head-to-head summary
| Criterion | Turing | Harnham |
|---|---|---|
| Founded | 2018 | 2006 |
| HQ | Palo Alto, California, USA | London, United Kingdom |
| Team size | Staff size not published; multi-million talent pool | 100–500 |
| Rating | 4.1 / 5 | 3.7 / 5 |
| Primary differentiator | Automated vetting and matching across the largest developer pool on this page | Twenty years of recruiting only in data and analytics |
| Pricing model | Monthly or hourly per developer; no public rate card; rates on request | Placement fee for permanent hires; contractor day or hourly rates; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, SQL, Spark |
| Industries served | Technology, AI labs, Finance, Healthcare, Retail | Financial services, Retail, Healthcare, Media, Technology |
Turing vs Harnham: overview
Turing
Turing was founded in Palo Alto in 2018 and built its developer marketplace on automated vetting. A company executive has said its system evaluated about two million developers and passed more than 50,000 through technical exams and interviews. That machinery makes it fast for common roles. Its business has shifted, though: much of its revenue now comes from producing training data for AI labs, and in 2026 it recruits doctors and accountants for that work alongside engineers. Third-party guides estimate $100 to $200 an hour for mid to senior developers, but Turing publishes no rate card.
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: Turing vs Harnham
| Capability | Turing | 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: Turing vs Harnham
| Framework / platform | Turing | 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: Turing vs Harnham
| Criterion | Turing | Harnham |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated engineer, Dedicated team, Freelance contract | Direct hire, Contract-to-hire, Freelance contract |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Turing vs Harnham
| Dimension | Turing | Harnham |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Technology, AI labs, Finance | Financial services, Retail, Healthcare |
| Best use cases | Adding five remote data engineers to a cloud migration, Staffing an LLM evaluation project with many short-term contributors | Hiring a permanent head of data science in London, Placing a contract data engineer for six months |
| Typical project type | Dedicated engineer | Direct hire |
Turing vs Harnham: pros and cons
| Turing | |
|---|---|
| + | Can match many engineers at once across time zones |
| + | Huge pool makes rare stack combinations easier to find |
| + | Experience supplying engineers to AI labs |
| - | Vetting is mostly automated, with less human technical judgment than engineer-led screens |
| - | Revenue now leans toward AI training data, which may pull attention from staffing clients |
| - | No published rates; third-party estimates are high |
| 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 Turing?
A typical fit: adding five remote data engineers to a cloud migration.
Automated vetting and matching across the largest developer pool on this page. Minimum engagement is not publicly disclosed. Works best with clients in Technology, AI labs, Finance, Healthcare, Retail.
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: Turing 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 | Turing |
| 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: Turing (Not published) vs Harnham (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 | Harnham |
Use case fit: Turing vs Harnham
| Use case | Turing fit | Harnham fit | Winner |
|---|---|---|---|
| Adding five remote data engineers to a cloud migration | Strong | Limited | Turing |
| Staffing an LLM evaluation project with many short-term contributors | Strong | Limited | Turing |
| Hiring a permanent head of data science in London | Limited | Strong | Harnham |
| Placing a contract data engineer for six months | Limited | Strong | Harnham |
Verdict: Turing vs Harnham
Turing (4.1/5) is the stronger overall choice for most AI Engineer Staffing projects. Automated vetting and matching across the largest developer pool on this page.
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
Turing vs Harnham FAQ
Is Turing better than Harnham?
Turing (4.1/5) scores higher overall, but "better" depends on your use case. Turing's strongest advantage: can match many engineers at once across time zones. Harnham's strongest advantage: long specialist history in data recruiting.
How do Turing and Harnham differ in pricing?
Turing uses monthly or hourly per developer; no public rate card; rates on request pricing. 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: Turing 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 Turing and Harnham?
Turing's primary differentiator is: automated vetting and matching across the largest developer pool on this page. Harnham's primary differentiator is: twenty years of recruiting only in data and analytics. They also differ in team size (Staff size not published; multi-million talent pool vs 100–500), minimum engagement (Not published vs Not published), and primary industries served (Technology, AI labs vs Financial services, Retail).
Verify all details directly with each company before making a decision.