Hybrid ADAS ML Engineer — Perception & Data Pipeline

Wayve; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Equity

Relocation support

Visa sponsorship

Hybrid work model

Learning & development budget

Health insurance

Job summary

Wayve is building embodied intelligence for real-world driving. The team develops perception models, trains data pipelines, and iterates rapidly across CV/3D tasks to improve on-road safety and performance.

We work in a hybrid model, connecting in-vehicle and offline data work with a strong emphasis on measurable impact. The role involves end-to-end ownership of model development, evaluation, and data generation, with equity sharing and relocation sponsorship where applicable.

Qualifications

• Built and shipped CV-focused deep learning systems.
• Experience with 3D perception concepts or pipelines (LiDAR, 3D reconstruction, tracking).
• Comfortable owning work end-to-end including dataset generation and evaluation.

Responsibilities

• Train, debug, and improve CV and 3D perception models.
• Work across the full ML lifecycle: data, training, evaluation, iteration.
• Build scalable data pipelines including auto- and pseudo-labelling.

Skills

Deep learning

Computer vision

End-to-end ownership

Model deployment

Tools

LiDAR

3D mapping

Job description

Wayve is building embodied intelligence for real-world driving. The team develops perception models, trains data pipelines, and iterates rapidly across CV/3D tasks to improve on-road safety and performance.

We work in a hybrid model, connecting in-vehicle and offline data work with a strong emphasis on measurable impact. The role involves end-to-end ownership of model development, evaluation, and data generation, with equity sharing and relocation sponsorship where applicable.