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Supporting Zurich's Deep Tech innovators with tailored workforce solutions in high-impact sectors.
Nathan Wills
HI, I'M Nathan
Senior Consultant | Switzerland

CUSTOMERS SUPPORTED IN ZURICH

MEET THE TEAM

Anthony Kelly

Co-Founder & MD EU/UK

Hayley Killengrey

Co-Founder & MD USA

Nathan Wills

Senior Consultant | Switzerland

Paddy Hobson

Senior Consultant | DACH

Sam Oliver

Senior Consultant | Contract DACH

Jonathan Harrold

Consultant - Germany

Harry Crick

Consultant | USA

Sam Warwick

Senior Consultant - ML Systems + AI Infra

Benjamin Reavill

Consultant - US

George Templeman

Senior Consultant

Jacob Graham

Senior Consultant

Viki Dowthwaite

Commercial Director

Helena Sullivan

CMO

Marita Harper

HR Partner

Micha Swallow

Head of Talent, People, & Performance

Aaron Gonsalves

Head of Talent

SALARY GUIDE

Built with fresh insights from our talent network, we developed this guide for anyone hoping to benchmark salaries, align remuneration with the wider market, or learn more about the trends and opportunities across Switzerland's Deep Tech space. Download your copy by following the link below: 

DOWNLOAD

DeepRec.ai's Salary and Market Guide for Switzerland

LATEST JOBS

Zürich, Switzerland
Multimodal AI Systems: Principal Technical Leader/ Chief Scientist
Multimodal AI Systems: Chief Scientist/ Principal Technical Leader We are seeking a senior leader to define and deliver the architecture and research direction for large-scale multimodal AI systems. This role combines scientific leadership with hands-on system ownership, spanning model innovation, training, inference, and production deployment. You will lead the design of multimodal architectures across LLMs, VLMs, video models, and multimodal agents, while driving cutting-edge research in multimodal understanding and generation. The role owns the full lifecycle from novel algorithms and publications to scalable, optimized systems (autotuning, quantization, inference efficiency). RequirementsDeep expertise in multimodal learning with hands-on experience training large-scale vision-language, video, or multimodal models.Strong understanding of transformers, diffusion models, and large multimodal model inference.Proven research impact (top-tier conferences preferred) and/or significant open-source contributions.Ability to translate frontier research into production-grade AI systems.
Anthony KellyAnthony Kelly
Zug, Switzerland
Applied AI Engineer - Zurich
Machine Learning EngineerLocation: Zurich / RemoteLanguage: German/Swiss German Preferred (English Fluent/Professional) This is a priority search for a small investment group building an internal AI Lab across companies they actively own.The company operates across retail and FMCG supply chains. Their portfolio supports large offline and online retailers, with heavy operational workflows across trading, pricing, ERP, and CRM. Today a lot of value is lost to manual processes and fragmented systems.This hire will be the first dedicated technical builder in the AI Lab. The focus is hands on delivery, not research.The expectation is to design, build, and ship AI driven systems that improve trader productivity, reduce operational friction, and surface revenue opportunities. This includes agent based workflows, internal tools, and hands on AI and ML implementation.You would work closely with founders and operators, move quickly, and have real autonomy. There is also exposure to reviewing the technical architecture of new investments and shaping build decisions early.Small, elite team distributed across Europe. High responsibility and clear ownership from day one. Real upside tied to equity backed projects.Ideally Switzerland based. German or Swiss German is a strong plus, English is also required.If you enjoy building in ambiguous environments and want your work in production immediately, feel free to send your CV.
Nathan WillsNathan Wills
Greng, Switzerland
AI Solution Architect
AI Solution Architect – GenAI & Azure AI (Contract, Remote) We’re looking for a senior AI Solution Architect to lead the design of generative AI solutions built on Microsoft’s cloud and AI platforms. This role focuses on shaping end-to-end architectures for GenAI use cases and guiding delivery teams through to production. The role: You’ll own solution architecture across multiple generative AI initiatives, working from early use-case definition through to implementation. The focus is on designing scalable, secure, and production-ready AI solutions using Azure and Microsoft AI services. What you’ll be doingDesigning end-to-end architectures for generative AI and AI-driven applicationsTranslating business requirements into Azure-based solution designs and delivery approachesDefining patterns for LLM-enabled solutions, including search-augmented and retrieval-based architecturesMaking architectural decisions around Azure services, integration patterns, and deployment modelsProviding technical leadership to AI and engineering teams during deliveryReviewing solution designs and implementations to ensure quality, performance, and securityTechnical environmentMicrosoft Azure cloud services and PaaS componentsAzure AI and generative AI platforms (including LLM-based services and search-driven AI)Cloud-native architectures (serverless, containers, managed services)CI/CD pipelines and DevOps practices within Microsoft ecosystemsPython and/or modern Microsoft application stacksContract detailsInitial 3-month contract, guaranteed extension to 6 months (with strong potential to extend further)Fully remote€400–€425 per day
Sam OliverSam Oliver