Software Engineer, Data Enrichment
Wayve · 🇬🇧 London, United Kingdom
Sponsorship Verification Proof
Employer is on the UK Home Office register of licensed sponsors.
UK Home Office Register of Licensed Sponsors (Skilled Worker route): listed as 'Wayve Technologies Ltd', London — Skilled Worker; Worker (A rating)
An official government register match confirms the employer holds an active sponsor licence in this country. It does not guarantee that every individual role meets minimum salary or skill thresholds — always confirm sponsorship eligibility with the recruiter.
The job posting also states: “✈️ Relocation support and visa sponsorship where applicable”
- Verification category
- Employer on official sponsor register
- Role category
- Data
- Last verified
- 2026-10-25
- First indexed
- 2026-10-24
- Posted date
- 2026-10-02
- ATS / Feed source
- Ashby job board
Role Description (Excerpt)
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. 🛠️ About our Data Enrichment Platform Team Our Enrichment Orchestration team builds the platform that enables Wayve’s teams to deploy, run, evaluate and continually improve machine-learning models. Processing petabytes of driving data across large GPU fleets, the team creates dependable, self-service capabilities that help model engineers understand model performance, improve quality and reduce operational effort and cost. 🧠 Your day-to-day - Design, build and operate backend services, APIs and data-processing workflows for the Data Enrichment Platform. - Develop model-execution workflows, versioned outputs, annotation capabilities and dataset-catalogue features. - Improve the scalability and reliability of systems for large-scale inference, automated evaluation and model monitoring. - Investigate and resolve reliability, performance and cost issues across petabyte-scale data and GPU-backed workloads. - Contribute to designs covering data locality, scheduling, capacity, backpressure, failure recovery and observability. - Collaborate with model engineering, AI Platform, infrastructure, compute, storage and data teams to deliver reusable capabilities. - Write…
Excerpt only — read the full requirements and apply directly on Wayve's career page. We do not process applications.