About this role
Salary: £54,000 - 94,000 per year
Requirements: Masters or PhD degree in a quantitative field related to science and engineering5+ years of experience in AD/ADAS, robotics, computer vision, or behavioral planning, through industry or research3+ years of experience in data science or related areas, including machine learning, deep learning, statistical analysis, A/B testing, and mathematical modelingExperience building machine learning algorithms and infrastructure, including data preprocessing and postprocessing, sampling and curation, ablation studies, and evaluationExperience writing software using Python data science libraries such as NumPy, SciPy, scikit-learn, and pandas; databases; and cloud platform services such as AWS, GCP, or AzureNice to have: 5+ years of experience in data science or related areasNice to have: 2+ years of technical leadership or management experience in data science or related areas for business applications, such as production, commercial service, or public service developmentNice to have: Hands-on experience analyzing very large-scale databases, such as petabyte-scale dataNice to have: Experience with temporal, sequential, or spatial dataNice to have: Experience developing perception technologies such as camera image processing, computer vision, machine learning, or deep learningNice to have: Experience designing data annotation rules for machine learningNice to have: Experience building or managing infrastructure such as Docker, Kubernetes, Jenkins, and GitHub ActionsNice to have: Experience with behavior prediction, imitation learning, reinforcement learning, or end-to-end modelsNice to have: Japanese language skills Responsibilities: Develop data strategies for collecting, sampling, labeling, handling, and leveraging data from Toyotas market fleet, test vehicles, and simulators to improve machine learning model performance across perception and planning stacksLead data-related activities across the autonomy team and company, collaborating with Toyota group stakeholders across multiple teams and time zonesAnalyze large-scale data and identify its characteristics to propose technical solutions for data curation, model improvement, and performance evaluationDevelop evaluation frameworks and metrics to assess planner performance and identify edge cases and high-value scenarios that can improve system behaviorDesign and improve scalable data pipelines and automation for machine learning and performance evaluationStrengthen data science capabilities across the Autonomy teams by initiating and leading initiatives and mentoring team members Technologies: AIAWSAzureCloudComputer VisionDockerGCPGitHubJenkinsKubernetesMachine LearningPythonRoboticsnumpypandas More:
We are Woven by Toyota, enabling Toyotas transformation into a mobility company through human-centric innovation. Our work spans autonomous driving and advanced driver assistance technologies, the Arene software development platform, Woven City, and Cloud & AI, with the goal of helping create a world with zero accidents and enhanced well-being. Our Autonomy team works at the intersection of AI, robotics, and advanced driving, developing perception and planning technologies and production software for AD/ADAS systems. This is a hybrid role based in London. We offer health, wellness, dental, and vision coverage; a pension; flexible vacation; and family planning and care benefits. We are an equal opportunity employer and value diversity. Information provided during hiring is used for the hiring and onboarding process.
last updated 40 week of 2026