Senior Data Engineering Manager

Salary: £54,000 - 94,000 per year

Requirements:

• We require a Masters or PhD degree in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, or a related quantitative field, or equivalent industry experience.
• We require 3+ years of experience managing engineering teams, with a focus on technical leadership, team development, and delivering high-impact projects in the automotive industry.
• We require 8+ years of experience covering data science, data sampling and curation, machine learning workflows, pre-processing, model training, ablation studies, evaluation, deployment, and inference optimization.
• We require experience with rigorous data science for applications leveraging large-scale data sources and highly efficient pipelines.
• We require experience working with large-scale robotics datasets, temporal data, and/or sequential modeling.
• We require excellent communication skills with the ability to communicate concepts clearly and precisely.
• We require experience writing software using Python for data science (numpy, scipy, scikit, pandas), databases, and cloud platform services (AWS, GCP, Azure).

Responsibilities:

• We define the teams short-term and long-term technical direction while collaborating on broader, cross-functional strategic initiatives across Perception, Planning, Simulation, Infrastructure, and Tooling.
• We initiate and influence cross-functional teams toward common data development goals and unified solutions.
• We support the data roadmap for the program and connect the teams technical roadmap by focusing on actionable data strategy approaches from data collection strategies to data curation, labelling, sampling, and evaluation.
• We leverage large amounts of Toyotas market fleet data to directly improve machine learning model performance across the end-to-end Autonomy Data pipeline.
• We lead initiative execution by defining efficient processes, mitigating technical risks, and anticipating long-term strategic improvements within the team and across the program.
• We enable and develop each team member to be more effective through coaching and leading by example, providing high-quality algorithms, carefully thought-out design reviews, and delivering rigorous initiative reports.
• We collaborate and provide technical guidance in the design, development, deployment, optimization, and evaluation of state-of-the-art data algorithms, data efficiency, and pipelines to enable ML model performance with a focus on iteration speed, scalability, and overall cost efficiency.
• We drive a culture of rigorous statistical evaluation to measure, validate, and implement evaluation frameworks that support ML model development and improved system behavior.
• We drive organizational metrics toward performance, safety, and quality.
• We work in a high-velocity environment, employ agile development practices, and collaborate in a globally distributed department across the US, Japan, and the UK.

Technologies:

• AI
• AWS
• Azure
• Cloud
• GCP
• Support
• Machine Learning
• Model Training
• Python
• Robotics
• numpy
• pandas
• Architect
• Computer Vision
• Docker
• GitHub
• Jenkins
• Kubernetes

More:

Woven by Toyota is enabling Toyotas once-in-a-century transformation into a mobility company through human-centric innovation. Our work centers on AD/ADAS, Arene, Woven City, and Cloud & AI, supported by business-critical functions that help us execute toward a world with zero accidents and enhanced well-being for all. Our Autonomy team tackles challenges at the intersection of AI, Robotics, and Advanced Driving, developing advanced Perception and Planning technologies and production software for multiple AD/ADAS systems. We offer a modern work environment with excellent health, wellness, dental, and vision coverage, a rewarding pension, a flexible vacation policy, and family planning and care benefits. We are an equal opportunity employer and value diversity.

last updated 36 week of 2026