Best 21 Machine Learning Recruiters

The recruiters and headhunters filling ML and AI roles, and the agencies behind them, from Harnham to Germany’s PALTRON. ↓

machine learning recruiters 2026 - Best 21 Machine Learning Recruiters

Machine learning is essential for AI-first companies, and finding top talent is crucial for success.

This list highlights the best recruiters who specialize in sourcing exceptional ML professionals, helping AI companies scale and innovate.

Top machine learning recruitment agencies

These firms come up constantly in ML hiring, and most are led by people on this list:

Agency Known for

harnham - Best 21 Machine Learning Recruiters

HarnhamLondon · New York
Known as the world’s largest data and analytics recruitment consultancy. Its co-founder appears below.

focusgts - Best 21 Machine Learning Recruiters

Focus GTSUS
Specialized staffing for AI and cloud talent. Its founder is on this list.

paltron - Best 21 Machine Learning Recruiters

PALTRONGermany
AI and machine-learning recruitment, named a “Top Personnel Service Provider” in Germany. Its co-founder is profiled below.

alphaapex - Best 21 Machine Learning Recruiters

Alpha Apex GroupUS
Executive search and recruiting across AI, data and digital transformation.
digitalent - Best 21 Machine Learning Recruiters
DigitalentLondon
AI and machine-learning executive search across the US, UK and Australia. Its founder is profiled below.
razoroo - Best 21 Machine Learning Recruiters
RazorooAustin
Technical recruiting firm with AI and machine learning as its core practice. Its AI/ML talent director is profiled below.

echo - Best 21 Machine Learning Recruiters

EchoGlobalLondon · Tallinn · Lviv
That is us. We place ML and data engineers from Eastern Europe’s deep technical talent pool.

The machine learning recruiters to know

Behind the agencies are the specialists themselves. Start with these names:

  1. Dave Fox
  2. Renu Sevanthi
  3. Anna Heneghan
  4. Shikha Bakshi
  5. Josef Günthner
  6. Adrian Clarke
  7. Minho Cho
  8. Chris Morrow
  9. Lindsey Duran
  10. Rob Reeves
  11. Matt Stabile
  12. David Farmer
  13. Joel Riet
  14. Jake Jorgovan
  15. Kelly Gauthier
  16. Alyesha Sayle
  17. Matt Reaney
  18. Abhilash Chipkar
  19. Nidhi Bajaj
  20. Daniel Kim
  21. Aaron Sines

Below we provide more detailed profiles of each recruiter.

⚡️Hiring ML engineers is slow going. Message EchoGlobal for a fast shortlist.

Dave Fox

YouTube Video

🇺🇸 American

Dave leads Focus GTS, a specialized staffing firm for AI and cloud talent.

He is often described as “one of the top recruiters in AI and tech”, connecting companies with niche experts in as little as 48 hours. An entrepreneur and podcast guest, Fox shares insights on using AI in recruiting and has grown Focus GTS into a multimillion-dollar business.

Renu Sevanthi

🇮🇳 Indian

At Apple, our focus is on attracting top-tier ML talent to drive innovation and build the future of technology.

Renu leads Apple’s recruiting across India, responsible for staffing strategy and end-to-end talent acquisition for “high-end technology streams” including AI and machine learning.

With over 13 years at Apple, Sevanthi has built out teams for Apple’s engineering and R&D operations in India, focusing on leadership hiring and critical technical roles. Her work ensures Apple India attracts top local ML talent to drive innovation.

Anna Heneghan

Anna Heneghan - Best 21 Machine Learning Recruiters

🇬🇧 British

Anna brands herself as “The Machine Learning Recruiter” with 7+ years filling ML engineer roles.

She has led a growing ML & AI recruiting team, boasts an extensive candidate network, and even earned recognition as an Outstanding Advocate for Women in Tech 2023. Heneghan actively posts jobs and hiring insights on LinkedIn to engage the ML community.

Shikha Bakshi

🇮🇳 Indian

Leadership hiring in AI requires not just expertise, but the ability to align top talent with an organization’s long-term vision.

Shikha drives AI/ML hiring at Fractal Analytics and was featured among the top AI recruiters in India.

With a background in business administration, she rose through Fractal’s ranks over 6 years to lead capacity hiring. Bakshi is known for her expertise in leadership hiring, stakeholder management, and sourcing strategies specific to data science and AI roles.

Josef Günthner

Josef Gunthner - Best 21 Machine Learning Recruiters

🇩🇪 German

Josef co-founded PALTRON, a leading recruitment agency focused on AI and Machine Learning talent.

Under his leadership, PALTRON was honored as a “Top Personnel Service Provider” in Germany. Günthner’s firm built a network of over 600,000 IT experts and earned a reputation for high-quality candidate matches in emerging tech fields. He emphasizes finding “highly coveted machine learning professionals” to keep clients ahead of the curve.

Adrian Clarke

🇬🇧 British

Adrian is known as the “Data Science Headhunter” running an executive search consultancy for analytics and ML roles.

He has over 10 years of experience placing top data scientists and AI specialists in Europe and beyond. Clarke often speaks on hiring trends (e.g. on the SuperDataScience podcast) and is active on LinkedIn, where he’s an “aficionado” of using the platform for sourcing talent. His firm focuses on leadership placements (Heads of AI, Chief Data Scientists) for enterprise clients.

Minho Cho

🇰🇷 South Korean

Minho is a talent acquisition expert who transitioned from software engineering into recruiting.

He served as a Machine Learning Recruiter at Facebook (Meta), where he used his technical background to fill challenging AI roles. Cho also led recruitment for Samsung’s U.S. operations and Audible (Amazon), consistently hiring top ML engineers and researchers. His blend of coding and recruiting expertise enables him to vet candidates deeply and reduce time-to-hire for ML positions.

Chris Morrow

Chris Morrow - Best 21 Machine Learning Recruiters

🇬🇧 British

Chris is a LinkedIn Top Voice in recruiting who founded Digitalent, an agency dedicated to AI & ML recruitment.

With 20 years in recruitment, he specializes in global AI talent searches (permanent, contract, and executive) and shares insider hiring tips on his weekly newsletter and podcast. Morrow’s thought leadership (he’s an AWS Certified AI Practitioner) and content on Recruiting Brainfood have made him a prominent voice on AI hiring trends.

Lindsey Duran

🇺🇸 American

Lindsey leads worldwide recruiting at NVIDIA, one of the foremost AI hardware and research companies.

She has played a major role in scaling NVIDIA’s talent base amid the surge in AI demand, and has shared key strategies for landing AI jobs at the company. Duran’s insights emphasize the importance of strong ML fundamentals and passion, reflecting her mission to attract top-tier AI researchers and engineers.

Rob Reeves

🇺🇸 American

Rob is a veteran tech recruiter who founded Redfish Technology back in 1996.

Over decades, he evolved Redfish from a West Coast IT recruiting boutique to a nationwide firm specializing in high-tech (including green tech and AI) placements. Reeves is known for his creative, resourceful approach and deep industry knowledge, helping countless startups and enterprises hire top machine learning and software talent.

Matt Stabile

Matt Stabile - Best 21 Machine Learning Recruiters

🇺🇸 American

Matt is often called “NYC’s top-rated Quant Finance, AI, and Data Science recruiter.”

Formerly Executive Recruiter and COO at Averity, Stabile founded Stabile Search in 2023 to focus on executive-level data science and ML hires. He has nearly a decade in tech recruiting (after a prior career as an attorney) and is known for placing VP and Director-level ML professionals at Fortune 500s and startups alike.

David Farmer

🇬🇧 British

David is the co-founder (with Simon Clarke) of Harnham, regarded as the world’s largest data and analytics recruitment consultancy.

Since 2006, Farmer has helped Harnham “very quickly establish” itself as a global leader in placing data scientists, analysts, and AI specialists. Harnham’s teams in the UK, US, and EU focus only on Data & AI hiring, giving them unmatched market immersion. Farmer, now CEO, remains hands-on and has overseen Harnham’s expansion into new regions (e.g. opening offices in the US tech hubs).

Joel Riet

🇳🇱 Dutch

Joel is a LinkedIn Top Voice (2022) who bills himself as an “AI, ML & Data Science Recruiter connecting top talent with innovation-driven teams.”

He shares abundant content on how candidates can stand out in AI hiring. Based in the Netherlands, Riet has a strong online presence and has helped European startups and scale-ups hire their first data science and ML engineers. His mission is to make AI hiring “human, fair & fun”, often discussing ethical AI recruitment practices on LinkedIn.

Jake Jorgovan

Jake Jorgovan - Best 21 Machine Learning Recruiters

🇺🇸 American

Jake is an entrepreneur-recruiter who co-founded Alpha Apex Group in 2020, an executive search firm specialized in AI talent.

He has published numerous “top recruiters” lists on his blog and is deeply involved in matching companies with leadership in AI/ML. Under Jorgovan’s guidance, Alpha Apex has placed over 2,000 executives and partnered with firms like Meta, AWS, and Siemens. (He’s also known for B2B podcasting via Content Allies.)

Kelly Gauthier

🇨🇦 Canadian

Kelly is a specialist AI and data science headhunter working with clients across Canada, the US, and Europe.

As founder of Higher (an AI recruitment firm), she focuses on sourcing hard-to-find ML researchers, data scientists, and AI engineers. Gauthier’s international reach and deep understanding of the AI talent market have made her a trusted partner for companies building advanced analytics teams.

Alyesha Sayle

🇺🇸 American

Alyesha specializes in placing niche machine learning talent into top research labs, hedge funds, and tech firms.

Currently an AVP at Trace, she focuses on recruiting ML researchers and engineers in quant finance and tech. Previously, Alyesha was a Principal Machine Learning Recruiter at Big Cloud, a well-known AI recruiting agency. With experience managing recruitment teams and even advising a diversity-in-AI startup, she cares about hard-to-find skills like NLP, deep learning, and “quant AI” talent.

Matt Reaney

Matt Reaney - Best 21 Machine Learning Recruiters

🇬🇧 British

Matt founded Big Cloud in 2013, one of the first recruitment firms devoted to Big Data and Machine Learning roles.

Under Reaney’s leadership, Big Cloud grew into a global data science staffing powerhouse, with a community of data scientists and ML engineers built through events and content. Big Cloud has earned testimonials for successfully filling multiple machine learning research and engineering positions for clients. Reaney himself is an active voice on social media and Starter Story interviews, sharing how he scaled to $250K/month in revenue by 2020 purely focusing on data/AI talent.

Abhilash Chipkar

🇮🇳 Indian

Abhilash works as a Technical Recruiter at LinkedIn India, where he focuses on engineering roles including Site Reliability and platform engineering – skills closely adjacent to machine learning infrastructure.

With 7+ years in tech recruitment, Chipkar is “greatly motivated to search for talent to make quality connections”, aiming to find candidates who strengthen LinkedIn’s technical teams. Before joining LinkedIn, he spent 3 years at a recruitment agency, giving him a mix of agency and in-house perspective.

Nidhi Bajaj

🇮🇳 Indian

Nidhi manages talent acquisition at Myntra (a major Indian e-commerce and fashion tech company).

She has a demonstrated history of hiring in the internet industry and is “skilled in analytics recruiting, sourcing, and screening”, having previously worked at Jabong (another fashion e-commerce). At Myntra, Bajaj handles end-to-end lateral hiring for functions like retail, digital marketing, and data/analytics roles to drive the company’s data-driven growth.

Her track record in hiring data-savvy professionals in a consumer tech context earns her a spot among top ML-focused recruiters in India.

Daniel Kim

🇦🇺 Australian

Daniel Kim founded HeadHunted AI, a Melbourne-based recruitment firm focused on placing engineers, scientists, and specialists in AI and machine learning.

He is known for running a technical, headhunting-led approach rather than high-volume outreach, and he has spoken publicly about his career pivots and how he built the agency around AI-focused hiring. In a long-form interview, he discusses his path from a mechatronics background and growing up in Perth to building HeadHunted AI after a major career reset.

Aaron Sines

🇺🇸 American

Aaron is Director of Talent for AI and Machine Learning at Razoroo, an Austin firm that recruits only for technical roles, with AI and ML as its core practice.

He has become one of the market’s most-quoted voices on AI hiring: the Financial Times cited him on engineer departures from Apple, and Business Insider and The Muse on researcher salary ranges and the spread of AI hiring into finance, healthcare and government.

That visibility comes from placement work at the hard end of the pool, research scientists and applied ML engineers, where demand still outruns supply.

Sum Up

These top machine learning recruiters have made a substantial impact on AI-first companies by identifying exceptional talent, fostering innovation, and spearheading expansion into AI markets. However, working with these experts directly can be difficult due to their high demand and premium fees.

A viable solution is partnering with EchoGlobal, where our deep expertise in the AI sector and vast global network ensure smooth connections with the right ML professionals to fuel your company’s growth.

Note: We’ve dedicated significant time and effort to creating and verifying this curated list of top professionals. However, if you believe a correction or addition is needed, feel free to reach out. We’ll gladly review and update the page.

Frequently Asked Questions

Yes, they are essential for AI-focused organizations that need niche technical talent quickly. Machine learning recruiters understand how to assess skills in modeling, MLOps, and data engineering that general recruiters may overlook. For candidates, they offer access to high-impact roles in startups and enterprise AI labs worldwide.

Prominent organizations include Focus GTS, PALTRON, Fractal Analytics, Digitalent, Redfish Technology and EchoGlobal Tech.

Agencies typically charge 20% to 30% of the candidate’s first-year salary for permanent roles, with higher fees for executive searches. Contract placements are billed using a margin-based model, reflecting the project’s scope and complexity. Large companies often maintain internal recruiters, while boutique agencies work on retained or contingency terms.

Choose firms or specialists with a track record in AI or ML hiring, verified through client success stories and active LinkedIn presence. It helps to check whether they understand your subdomain (computer vision, NLP, or deep learning). Transparent communication and technical literacy are signs of a recruiter who can represent your interests effectively.

They advise on AI team structure, technical hiring strategy, and integration of ML talent into business operations. Consultants often support both early-stage startups and enterprise AI programs. Their role bridges talent acquisition, strategic planning, and knowledge transfer to accelerate innovation in machine learning initiatives.

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Back in 2013, I founded EchoUA, which later evolved into EchoGlobal with a simple idea: to connect tech-oriented companies worldwide with top remote IT professionals. #Entrepreneur, #TalentHunter, #SoftwareEngineer
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✎ posted by

Lyubomyr Reverchuk 
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