Neural Concept seeks an experienced deployment engineer to own end-to-end customer outcomes: from architecture conversations to go-live and steady-state operation, integrating identity, data, and model serving layers. You will collaborate with IT, security and platform teams to assess, design, and resolve incidents, driving playbooks and feedback into Product.
The role requires hands-on expertise across Kubernetes on-premises and cloud, DNS, TLS, and storage, plus strong customer communication
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Cambridge
Neural Concept embeds AI into design and simulation workflows so engineering teams make continuous, data-driven decisions instead of waiting on…
London
Neural Concept embeds AI into design and simulation workflows so engineering teams make continuous, data-driven decisions instead of waiting on…
London
Neural Concept embeds AI into design and simulation workflows so engineering teams make continuous, data-driven decisions instead of waiting on…
Cambridge
Neural Concept embeds AI into design and simulation workflows so engineering teams make continuous, data-driven decisions instead of waiting on…
Cambridge
Neural Concept is seeking a seasoned Deployment Engineer to own enterprise platform deployments for named customers, from architecture conversations…
As a Forward Deployed Engineer (FDE) with a Platform Engineering focus (Band 8), you own end-to-end delivery for cloud platform and infrastructure…
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