Top AI Engineer Staffing Companies

Toptal vs Harnham: full comparison for 2026

Quick verdict

Toptal (4.5/5) edges ahead of Harnham (3.7/5) overall. Toptal is the better choice for engineering leads who need one senior freelance ML specialist quickly and can pay a premium. 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.

Toptal vs Harnham: head-to-head summary

Criterion Toptal Harnham
Founded 2010 2006
HQ Remote-first (no central office) London, United Kingdom
Team size Staff size not published; large freelance network 100–500
Rating 4.5 / 5 3.7 / 5
Primary differentiator Multi-stage screening that ends with interviews by senior engineers and a test project Twenty years of recruiting only in data and analytics
Pricing model Freelance hourly or weekly rates set per engineer; no-risk trial period; 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, Finance, Healthcare, Media, Retail Financial services, Retail, Healthcare, Media, Technology

Toptal vs Harnham: 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.

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: Toptal vs Harnham

Capability Toptal 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: Toptal vs Harnham

Framework / platform Toptal Harnham
PyTorch ✓ N/A
TensorFlow ✓ N/A
LangChain ✓ N/A
Hugging Face ✓ N/A
OpenAI ✓ N/A
AWS ✓ ✓
Azure ✓ ✓
Google Cloud ✓ N/A
Databricks N/A ✓
Kubernetes N/A N/A

Pricing comparison: Toptal vs Harnham

Criterion Toptal Harnham
Minimum engagement Not published Not published
Engagement models Freelance contract, Fractional expert, Trial period Direct hire, Contract-to-hire, Freelance contract
Rate transparency Not public Not public
Price tier Mid-market Mid-market

Target audience comparison: Toptal vs Harnham

Dimension Toptal Harnham
Best company size Startup to mid-market Startup to mid-market
Best industries Technology, Finance, Healthcare Financial services, Retail, Healthcare
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 Hiring a permanent head of data science in London, Placing a contract data engineer for six months
Typical project type Freelance contract Direct hire

Toptal vs Harnham: 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
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 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 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: Toptal vs Harnham

Your situation Recommended choice
You want a working engineer, not a recruiter, to run the technical screen Toptal
You need one specialist for a few days a week Toptal
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 Toptal
Your budget is at the lower end Compare: Toptal (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: Toptal vs Harnham

Use case Toptal fit Harnham 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 Limited Toptal
Hiring a permanent head of data science in London Strong Strong Both equally
Placing a contract data engineer for six months Limited Strong Harnham

Verdict: Toptal vs Harnham

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.

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

Toptal vs Harnham FAQ

Is Toptal better than Harnham?

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. Harnham's strongest advantage: long specialist history in data recruiting.

How do Toptal and Harnham differ in pricing?

Toptal uses freelance hourly or weekly rates set per engineer; no-risk trial period; 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: Toptal 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 Toptal and Harnham?

Toptal's primary differentiator is: multi-stage screening that ends with interviews by senior engineers and a test project. Harnham's primary differentiator is: twenty years of recruiting only in data and analytics. They also differ in team size (Staff size not published; large freelance network vs 100–500), minimum engagement (Not published vs Not published), and primary industries served (Technology, Finance vs Financial services, Retail).

Verify all details directly with each company before making a decision.