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Platform Engineer, AI Enablement

Wayve · London, United Kingdom

Confidence
High confidence
Posted
5 Oct 2026
First seen
24 Oct 2026
Last checked

Evidence

High confidence

The posting says Wayve sponsors visas, and Wayve is on the UK Home Office register.

Sponsor register

UK Home Office Register of Licensed Sponsors

Listed as Wayve Technologies Ltd. London · Skilled Worker route · A rating. Snapshot 26 Oct 2026.

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Job posting

Relocation support and visa sponsorship where applicable

On jobs.ashbyhq.com/wayve, read 26 Oct 2026.

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Still open

Seen on the job board

First seen 24 Oct 2026. We check every day and remove closed roles.

Where you apply

jobs.ashbyhq.com/wayve

Wayve’s job board, hosted by Ashby.

Being on the register means Wayve can sponsor visas. It doesn’t confirm this role qualifies, so check with the recruiter.

About the role

Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this particular role covers.

Wayve’s AI Enablement team builds the shared platforms that help people across the company use language models and AI agents safely, reliably, and cost-effectively. As an early member of this platform team, you’ll help shape both the technical foundations and the standards for how AI-powered tools are built and operated across Wayve.

Your day-to-day You’ll design, build, and operate infrastructure for model access, agent runtimes, and observability. You’ll take projects from initial problem definition through technical design, deployment, and ongoing operation, partnering closely with security, IT, and engineering teams. You’ll also support teams adopting the platform by troubleshooting issues, documenting reusable patterns, and helping people understand what’s possible with the tools available. What you’ll be working on - A governed, production-ready access layer for language models, including routing, authentication, cost controls, and auditability. - Secure infrastructure and reusable tooling for running agentic workflows in production. - Observability covering platform usage, cost, reliability, and performance.

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