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Senior Machine Learning Engineer, Data Enrichment (Autonomous Driving)

robotics jobs uk • United Kingdom
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AI Summary

Develop ground-truth datasets and classifiers for Wayve’s AI-driven autonomous driving systems, focusing on computer vision, spatial relationships, and driving behavior. Collaborate with cross-functional teams to refine annotation tasks, evaluate model performance, and improve perception and driving models for safety and reliability. Bridge technical and business needs by translating ambiguous requirements into measurable deliverables and quality criteria.

Key Highlights
Build and refine ground-truth datasets and classifiers for complex driving scenes using Wayve’s World Foundation Model
Design annotation tasks, labeling instructions, and quality control workflows to ensure data accuracy and coverage
Develop and deploy computer vision models for scene attribute identification, spatial relationships, and driving behavior analysis

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Key Responsibilities
Define scene and scenario attributes, dataset requirements, and measurable acceptance criteria for annotations and classifiers in collaboration with internal customers
Design and refine annotation tasks, labeling instructions, and quality control processes using pilots, annotator agreement, and expert review
Curate and deliver ground-truth datasets for model training and evaluation, addressing rare scenarios, class imbalance, and global coverage
Build and evaluate computer vision models to identify scene attributes and driving behaviors, leveraging Wayve’s World Foundation Model
Conduct error analysis to identify gaps in data, labels, and model performance, proposing improvements for data, labels, or modeling approaches
Integrate classifiers with enrichment infrastructure to run inference across driving data for corpus analysis and scenario mining
Improve reusable tools for annotation, training, evaluation, and inference, and document dataset/classifier quality and limitations
Technical Skills Required
Python Computer Vision Machine Learning Frameworks (PyTorch)

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Benefits & Perks
Market-benchmarked salaries
Meaningful equity
Relocation support and visa sponsorship where applicable
Hybrid working with core hours
Comprehensive benefits including health insurance, dental, and retirement plans
Learning and development budgets
Access to vehicle workshops and labs

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Nice to Have
Experience with 3D geometry, multi-camera systems, or temporal scene understanding
Background in autonomous driving, ADAS, or robotics
Adapting pretrained/foundation or vision-language models
Human annotation workflows, active learning, or model-assisted labeling
SQL, distributed data processing, and batch inference

Job Description

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.
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Job Overview
Posted Oct 28, 2026
Employment Full-time
Experience Not Applicable
Location United Kingdom
Category Programming
Company robotics jobs uk
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