Berlin AI Jobs in 2026: 26 Open Roles, Zero AI Labs, and a Healthcare Startup Running the Market
9 of Berlin’s 26 tracked AI/ML roles belong to voize — a Berlin-based AI health tech startup. None of those 9 is a machine learning engineer position. Data is from the September 14, 2026 HireIndex snapshot.
That’s the unusual fact at the center of Berlin’s AI job market right now. A post-Series A startup hiring across fullstack engineering, DevOps, enablement, account management, and finance controls more than a third of the city’s entire tracked AI market. The actual ML roles sit scattered across product companies most people associate with delivery apps, language learning, and fintech.
Who is voize, and what are they actually hiring?
voize builds ambient voice AI for healthcare — tools that let clinicians document patient encounters by speaking rather than typing. The company operates in clinical settings across Germany and is expanding into French-speaking markets, which explains the Founding Technical Account Manager role listed as “French Speaking.”
Its 9 open Berlin roles span the full operational stack of a Series A AI company scaling a product:
| Role | Seniority |
|---|---|
| Senior Fullstack Engineer (AI Health tech) | Senior |
| Senior DevOps Engineer (healthcare AI) | Senior |
| AI Enablement Engineer | Mid |
| AI Enablement Manager | Mid |
| Senior Product Manager - Machine Learning | Senior |
| Founding Technical Account Manager (French) | Mid |
| Founders Associate - CEO Office | Mid |
| Finance Manager - AI Native | Mid |
| Head of Data & AI | Leadership |
The “AI Native” qualifier on the Finance Manager role is a giveaway: voize is building a culture of AI fluency across every function, not just in engineering. They’re not hiring to train models in Berlin — they’re hiring people who can operate inside a company where AI is core infrastructure.
Candidates who want to work at an AI-native company but not in an ML-specific role will find more surface area at voize than at any other Berlin employer in the current index.
Which companies are doing the actual ML hiring in Berlin?
Strip out voize, and Berlin’s 17 remaining roles are dominated by senior Machine Learning Engineers at product companies — European names with significant user bases that rarely appear in AI hiring conversations.
| Company | Role type | Sector |
|---|---|---|
| Bolt | Senior ML Engineer, Delivery Merchant | Mobility |
| SumUp | Senior ML Engineer | Fintech |
| Babbel | Senior ML Engineer - Babbel Labs | EdTech |
| Delivery Hero | Senior ML Engineer, Logistics Optimization | Food delivery |
| Qonto | Staff ML Engineer for AI Product | Fintech |
| TomTom | ML Staff Engineer – ADAS Online | Navigation / automotive |
| Sonia | Senior ML Engineer (ASR) | Voice AI |
| Doctolib | Senior AI Engineer | Healthcare booking |
None of these is an AI lab. The only AI-native lab hiring in Berlin right now is Perplexity, which has one internship. Otherwise, every ML role in the city is at a product company using ML to improve a specific business metric: delivery routing, language tutoring quality, speech recognition accuracy, or map positioning for driver-assist systems.
This is meaningfully different from London, where Writer, Cohere, and Hackajob sit alongside large financial services employers in the top 10, or from San Francisco, where the top employer holds 77 of 169 tracked roles.
Why does Berlin skew so senior compared to other tracked cities?
Berlin has 14 senior, senior-heavy, or leadership roles out of 26 total — 54%. The global HireIndex index for the same snapshot shows 44% senior-or-above across all 2,144 tracked jobs.
| City | Total roles | Senior or above |
|---|---|---|
| San Francisco | 169 | 31% |
| London | 206 | 37% |
| Global index | 2,144 | 44% |
| Sydney | 84 | 51% |
| Berlin | 26 | 54% |
| Toronto | 135 | 61% |
Berlin and Toronto sit at the senior end of the spectrum. Both cities reflect the same pattern: a concentration of product-stage companies — post-Series A startups, established platforms — that hire experienced engineers to own specific systems rather than build large junior cohorts.
Zero of Berlin’s 26 open roles are junior-level. Candidates early in their careers looking for an AI entry point in Europe will find more surface area in London (3 junior roles out of 206) than in Berlin.
How does Berlin fit into the broader European AI market?
London has 206 tracked roles to Berlin’s 26 — nearly 8 times the volume. But Berlin’s composition is distinct. London’s top employers are ASOS, Writer, and Hackajob, with a heavy financial services layer underneath. Berlin’s top employers are voize, Bolt, and a collection of European fintech and EdTech companies. Berlin’s AI market is a product ecosystem market, not a financial services market and not a lab market.
Data Scientist roles make up 4 of 26 Berlin openings (15%), below the global index average of 13%. Machine Learning Engineer is the dominant title, accounting for 10 of Berlin’s 26 tracked roles (38%), slightly above the global rate of 24%.
The only AI Research role in Berlin in the current index is the Perplexity internship — 1 of 26.