Plumerai

HQ
London
Total Offices: 2
20 Total Employees
Year Founded: 2017

Jobs at Plumerai

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Recently posted jobs

11 Days AgoSaved
Hybrid
London, Greater London, England, GBR
Artificial Intelligence • Software
Fixed-term (10 months) Head of Operations maternity cover reporting to the CEO. Own day-to-day operations across London and Amsterdam, cash flow and financial oversight, supplier and contract management, people onboarding, data project delivery for the AI team, compliance and documentation, and investor relations support.
12 Days AgoSaved
Hybrid
Amsterdam, NLD
Artificial Intelligence • Software
Develop and deploy state-of-the-art, highly efficient deep learning models (including multimodal LLMs) for on-device and cloud inference. Improve training algorithms, data pipelines, model architectures, and training software; optimize models for low-power embedded hardware and production deployments using company infrastructure.
12 Days AgoSaved
Hybrid
London, Greater London, England, GBR
Artificial Intelligence • Software
Design, train, and deploy state-of-the-art, highly efficient computer vision and multimodal LLM models for low-power edge devices. Improve training algorithms, data pipelines, model architectures, and deployment tooling to ship AI features to millions of cameras. Prototype demos and optimize cloud and on-device inference.
12 Days AgoSaved
Hybrid
Amsterdam, NLD
Artificial Intelligence • Software
Design, train, and deploy efficient deep learning models (especially tiny on-device CV models) and multimodal LLM features; improve data pipelines, training software, and model architectures; deploy and optimize models across cloud and edge using Kubernetes, GCP, and related tooling.
12 Days AgoSaved
Hybrid
London, Greater London, England, GBR
Artificial Intelligence • Software
Build and optimize state-of-the-art, resource-efficient deep learning models and multimodal LLM features for deployment on low-power embedded devices. Improve training algorithms, data pipelines, model architectures, and training infrastructure (cloud and edge), and ship models to production at scale using Kubernetes, GCP, and auto-labeling workflows.