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Enterprise AI Deployment Engineer, UK/EU/ME

Cohere
Greater London, UK
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.collegerecruiter.com

Tech stack

Cloud Computing Software Deployment AI Platforms Kubernetes Deployment Automation

Job description

Cohere is looking for engineers to lead the deployment of their AI platform, North, in private cloud environments. This role focuses on collaborating with enterprise IT teams to customize deployment strategies that meet client needs while ensuring data privacy and security. Ideal candidates have experience with Kubernetes and cloud infrastructure. The position offers a supportive culture, remote flexibility, and generous perks including six weeks of vacation and comprehensive health benefits.

Requirements

Cohere is looking for engineers to lead the deployment of their AI platform, North, in private cloud environments. This role focuses on collaborating with enterprise IT teams to customize deployment strategies that meet client needs while ensuring data privacy and security. Ideal candidates have experience with Kubernetes and cloud infrastructure. The position offers a supportive culture, remote flexibility, and generous perks including six weeks of vacation and comprehensive health benefits. #J-18808-Ljbffr

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

2:28 min

Understanding Kubernetes architecture and core cluster components

Marc Nimmerrichter · World Congress 2022

2:36 min

Choosing between managed AI platforms and custom governance

Péter Farkas Péter Farkas · Europe 2026 Virtual

2:27 min

Introduction to WebAssembly in a cloud computing context

Edo Edo · World Congress 2024

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

4:04 min

Overview of Kubernetes operators and custom resource definitions

Philipp Krenn · World Congress 2022

Videos

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This App Reached 10,000 Users in One Week. Here's How. thumbnail
23:54
World Congress 2026 Europe • about 2 months ago

This App Reached 10,000 Users in One Week. Here's How.

Mahran Meißner

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29:05
World Congress 2026 Europe • about 2 months ago

Understanding Kubernetes in a visual way

Aurélie Vache

Green Cloud Computing thumbnail
35:20
LIVE • about 3 years ago

Green Cloud Computing

Doreen Sacker

Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps thumbnail
35:19
Coffee With Developers • 3 months ago

Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps

Hazal Mestci, Raph Terrier

Supercharge your cloud-native applications with Generative AI thumbnail
32:13
World Congress 2024 • about 2 years ago

Supercharge your cloud-native applications with Generative AI

Cedric Clyburn

Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing thumbnail
27:54
World Congress 2026 Europe • about 2 months ago

Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing

Piotr Zaniewski

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