The AI hiring board tracks 3,203 open AI/ML roles today. Here's where they are, who's hiring, and what they're actually looking for.
Where the Jobs Are
Europe dominates with 1,580 roles (49%) — nearly half the entire market. The US follows at 892 (28%), and India lands third with 694 (22%). Together those three regions hold 99% of tracked openings. The rest of the world is thin: just 31 roles across ROW and only 6 in the UAE. If you're job-hunting, Europe and the US are where the volume is, but India's near-700 count makes it a serious third pole, not an afterthought.
Who's Hiring Hardest
Bespoke Labs leads by a wide margin with 181 openings — more than the next two employers combined. Capital One (108) is the only other triple-digit hirer, showing finance's continued AI push. After that it's a cluster of consultancies and staffing-heavy firms: EnthuZiastic (46), Reply Deutschland (38), Jobgether (38), IU Internationale Hochschule (35), Tata Consultancy Services (34), Booz Allen Hamilton (33), and Deloitte (32). SonderMind (31), Lieferando (30), and Amazon (18) round out the top tier. Notably, big-tech names are sparse — much of the demand runs through consultancies, recruiters, and vertical companies.
The Roles Themselves
The common threads are Machine Learning Engineer, Data Scientist, and Generative AI specialist/engineer titles. Generative AI shows up everywhere — from Product Manager – Generative AI and Generative AI Automation Engineer to Deloitte's Oracle Generative AI Associate VP. There's strong demand for applied and ops roles too: AI Deployment Engineer, AI Operations Manager, AI Transformation Lead, and AI Automation & Tools Engineer. Freelance and contract listings (Mindrift, Quantiphi) are common, and academia is in the mix with postdoc and university positions. Experience bands skew mid-level (3–5 years).
Start Browsing
Head to the Jobs section to filter all 3,203 roles by region, company, and title.