Harnham vs KORE1: full comparison for 2026
Quick verdict
Harnham (3.7/5) edges ahead of KORE1 (3.6/5) overall. Harnham is the better choice for companies hiring permanent data or ML staff in the UK or U.S. through a specialist agency. KORE1 is the stronger option for U.S. companies that want a local agency to recruit ML engineers on contract-to-hire terms. The right choice depends on your project size, budget, and required tech stack.
Harnham vs KORE1: head-to-head summary
| Criterion | Harnham | KORE1 |
|---|---|---|
| Founded | 2006 | 2005 |
| HQ | London, United Kingdom | Irvine, California, USA |
| Team size | 100–500 | Not published |
| Rating | 3.7 / 5 | 3.6 / 5 |
| Primary differentiator | Twenty years of recruiting only in data and analytics | A U.S. staffing agency with contract-to-hire terms for AI roles |
| Pricing model | Placement fee for permanent hires; contractor day or hourly rates; rates on request | Contract bill rate or placement fee; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, SQL, Spark | Python, AWS, Azure |
| Industries served | Financial services, Retail, Healthcare, Media, Technology | Technology, Healthcare, Manufacturing, Finance, Aerospace |
Harnham vs KORE1: overview
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.
KORE1
KORE1 is an IT and professional staffing agency headquartered in Irvine, California. Its own sources give both 1999 and 2005 as starting dates; we use 2005, the year in its company summary. It recruits on contract, contract-to-hire and direct-hire terms across IT, data and AI/ML, with pages for ML, LLM, MLOps and GenAI engineers. KORE1 reports an average time-to-hire of 17 days and 12-month retention of 92% for IT roles. Screening is done by recruiters, and AI is one category among many.
Services and capabilities: Harnham vs KORE1
| Capability | Harnham | KORE1 |
|---|---|---|
| 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: Harnham vs KORE1
| Framework / platform | Harnham | KORE1 |
|---|---|---|
| PyTorch | N/A | N/A |
| TensorFlow | N/A | ✓ |
| LangChain | N/A | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | N/A | ✓ |
| Databricks | ✓ | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Harnham vs KORE1
| Criterion | Harnham | KORE1 |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Direct hire, Contract-to-hire, Freelance contract | Contract-to-hire, Direct hire, Freelance contract |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Harnham vs KORE1
| Dimension | Harnham | KORE1 |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial services, Retail, Healthcare | Technology, Healthcare, Manufacturing |
| Best use cases | Hiring a permanent head of data science in London, Placing a contract data engineer for six months | Hiring an on-site ML engineer in Southern California, Bringing in a contract MLOps engineer with a path to permanent |
| Typical project type | Direct hire | Contract-to-hire |
Harnham vs KORE1: pros and cons
| 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 |
| KORE1 | |
|---|---|
| + | U.S.-based candidates for on-site or hybrid roles |
| + | Contract-to-hire lets you test before a permanent offer |
| + | Published time-to-hire figure |
| - | Recruiter-led screening |
| - | AI is one category inside a general staffing business |
| - | U.S. rates, which are higher than nearshore or offshore options |
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.
Who should choose KORE1?
A typical fit: hiring an on-site ML engineer in Southern California.
A U.S. staffing agency with contract-to-hire terms for AI roles. Minimum engagement is not publicly disclosed. Works best with clients in Technology, Healthcare, Manufacturing, Finance, Aerospace.
Decision matrix: Harnham vs KORE1
| 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 | Neither lists dedicated teams; check team size before signing |
| 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: Harnham (Not published) vs KORE1 (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 | Both; Harnham rates higher overall |
Use case fit: Harnham vs KORE1
| Use case | Harnham fit | KORE1 fit | Winner |
|---|---|---|---|
| Hiring a permanent head of data science in London | Strong | Strong | Both equally |
| Placing a contract data engineer for six months | Strong | Limited | Harnham |
| Hiring an on-site ML engineer in Southern California | Strong | Strong | Both equally |
| Bringing in a contract MLOps engineer with a path to permanent | Limited | Strong | KORE1 |
Verdict: Harnham vs KORE1
Harnham (3.7/5) is the stronger overall choice for most AI Engineer Staffing projects. Twenty years of recruiting only in data and analytics.
KORE1 (3.6/5) is worth a look if you need bringing in a contract MLOps engineer with a path to permanent. If your situation matches that, KORE1 is a competitive option.
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Harnham vs KORE1 FAQ
Is Harnham better than KORE1?
Harnham (3.7/5) scores higher overall, but "better" depends on your use case. Harnham's strongest advantage: long specialist history in data recruiting. KORE1's strongest advantage: U.S.-based candidates for on-site or hybrid roles.
How do Harnham and KORE1 differ in pricing?
Harnham uses placement fee for permanent hires; contractor day or hourly rates; rates on request pricing. KORE1 uses contract bill rate or placement fee; 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: Harnham or KORE1?
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 Harnham and KORE1?
Harnham's primary differentiator is: twenty years of recruiting only in data and analytics. KORE1's primary differentiator is: a U.S. staffing agency with contract-to-hire terms for AI roles. They also differ in team size (100–500 vs Not published), minimum engagement (Not published vs Not published), and primary industries served (Financial services, Retail vs Technology, Healthcare).
Verify all details directly with each company before making a decision.