A snapshot of 2,236 open AI/ML roles tracked today shows a market concentrated in Europe, dominated by GenAI and data-science titles, and propped up by a handful of heavy hirers.
Where the Roles Are
Europe is the clear leader with 1,079 openings (48%), followed by the US at 742 (33%) and India at 383 (17%). Everywhere else is thin: the rest of the world accounts for just 26 roles, and the UAE for 6. If you're job-hunting, Europe and the US together hold over 80% of tracked demand, while India remains a meaningful third pole—heavily weighted toward applied and marketing-adjacent AI work.
Who's Hiring
One employer towers over the rest: Bespoke Labs has 176 open roles—nearly 8% of the entire board—posting US-based titles like Machine Learning Engineer. Behind it, Capital One (69) is aggressively staffing Generative AI teams for its US Card business, including Senior Manager and Principal Data Scientist roles. Other notable volume comes from EnthuZiastic (46), IU Internationale Hochschule (35), SonderMind (31), Tata Consultancy Services (30), Reply Deutschland (28), and consultancies Booz Allen Hamilton (25) and Deloitte (21). Lieferando (20) and Mindrift (17) round out the leaders.
What They Want
The role mix is concrete. Generative AI and Data Scientist titles recur most—often paired with LLMs, RAG, and agentic systems (e.g., Capital One's GenAI roles, ALTEN's GenAI Data Scientist, Robert Walters' LLM/RAG opening on GCP). Machine Learning Engineer is the other staple, spanning platform work (Wise, Thales) and product builds. Europe leans toward research-flavored ML and computer vision (Thales, Huawei's Belgium/Netherlands labs). India's listings skew toward applied and AI-marketing roles—AI SEO leads, creative designers, and performance-marketing managers—alongside core GenAI engineering.
Takeaway
Demand is real but lopsided: a few employers and the GenAI/Data Scientist track drive most of it. Browse the full set of 2,236 live listings in the Jobs section to filter by region, company, and role type.