Senior Data Engineering Manager

Woven by Toyota; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Excellent health, wellness, dental and

Pension

Flexible vacation policy

Family planning and care benefits

Job summary

Woven by Toyota is seeking an experienced Autonomy Data Manager to lead a team of Data Scientists, Data Engineers and ML Ops Engineers. You will shape data strategy, deploy data models, and drive data-driven planning and perception solutions across a globally distributed Autonomy team.

You will guide production-ready data pipelines, ensure scalable ML model performance, and contribute to cost-efficient, high-quality data solutions while fostering a culture of rigorous evaluation and continuous

Qualifications

• Master's or PhD in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, or related quantitative field.
• 8+ years of experience covering data science, data sampling and curation, machine learning workflows, pre-processing, model training, evaluation, deployment, and inference optimization.
• 3+ years of experience managing engineering teams with a focus on technical leadership and delivering high-impact projects in automotive industry.
• Experience with rigorous data science for large-scale data sources and highly efficient pipelines.
• Experience working with large-scale robotics datasets, temporal data and/or sequential modeling.

Responsibilities

• Define the team’s short-term and long-term technical direction across Perception, Planning, Simulation, Infrastructure, and Tooling.
• Initiate and influence cross-functional teams towards common data development goals and unified solutions.
• Support the data roadmap for the program and connect the team’s technical roadmap with actionable data strategy from collection to evaluation.
• Lead initiative execution by defining efficient processes, mitigating technical risks, and planning long-term improvements.
• Coach and develop team members through design reviews and rigorous initiative reporting.
• Collaborate on design, development, deployment, optimization, and evaluation of data algorithms and pipelines for ML models.

Skills

Data leadership

Team management

Machine learning

Python data science

Communication

Education

Masters or PhD in ML/CS/Robotics

Equivalent industry experience

Tools

Python

AWS/GCP/Azure

Databases

ML pipelines

Labelling tools

Job description

Woven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation — expanding what “mobility” means and how it serves society.

Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we’re working toward one bold goal: a world with zero accidents and enhanced well-being for all.

TEAM

At Woven by Toyota, we tackle Autonomy challenges at the intersection of AI, Robotics, and Advanced Driving. We develop advanced Perception and Planning technologies, and their production software for multiple AD/ADAS systems. To deliver reliable data-driven technologies to millions of Toyota vehicles, we are solving complex real-world problems using large-scale data, machine learning, and state-of-the-art architectures for Perception, Prediction, and Motion Planning.

WHO ARE WE LOOKING FOR?

The team is seeking an experienced, technical, and hands-on Autonomy Data Manager to grow and lead a talented team composed of Data Scientists, Data Engineers and ML Ops Engineers, working in the Autonomy team to deliver data driven Planning and Perception solutions. You will lead the team to drive the creation and deployment of sophisticated data models and algorithms to resolve business challenges for the Autonomy team. You lead through your expertise in data, deep learning and software engineering. You provide technical guidance to the team by combining modern data approaches with safety standards while also considering cost efficient options.. Furthermore, you are proactive towards handling the processes required for production development and approach them by asking “What can I do for you?” with a “Giver” mindset.

RESPONSIBILITIES

• Define the team’s short-term and long-term technical direction while collaborating on broader, cross-functional strategic initiatives across Perception, Planning, Simulation, Infrastructure, and Tooling.

• Initiate and influence cross-functional teams towards common data development goals and unified solutions.

• Support the data roadmap for the program and connect your team’s technical roadmap by focusing on actionable data strategy approaches from data collect strategies, to data curation, labelling , sampling, evaluation, with a goal of leveraging the large amounts of Toyota’s market fleet data to directly improve machine learning model performance across the End-to-End Autonomy Data pipeline.

• Lead initiative execution by defining efficient processes, mitigating technical risks, and anticipate long-term strategic improvements within the team and across the program.

• 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.

• 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.

• Drive a culture of rigorous statistical evaluation to measure, validate and implement evaluation frameworks that support ML model development and improved system behavior.

• Drive organizational metrics towards performance, safety, and quality.

• Work in a high-velocity environment, employ agile development practices, and collaborate in a globally distributed department (US, Japan, UK).

MINIMUM QUALIFICATIONS

• Masters or PhD degree in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, or related quantitative fields, or equivalent industry experience

• 3+ years of experience managing engineering teams, with a focus on technical leadership, team development, and delivering high-impact projects in the automotive industry.

• 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.

• Experience with rigorous data science for applications leveraging large scale data sources and highly efficient pipelines

• Experience working with large-scale robotics datasets, temporal data and/or sequential modeling

• Excellent communication skills with the ability to communicate concepts clearly and precisely

• Experience writing software using: i) Python for data science (numpy, scipy, scikit, pandas; ii) databases; and iii) cloud platform services (AWS, GCP, Azure)

NICE TO HAVES

• Experience as a Data Architect or Senior Manager

• Proven track record of deploying ML models at scale in self-driving products, self-driving challenges, or related fields

• Experience with production data pipelines or Safety & Quality processes for safety-critical applications

• Hands‑on experience in the following:

• Japanese language skills

WHAT WE OFFER

We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility.

• Excellent health, wellness, dental and vision coverage
• A rewarding pension
• Flexible vacation policy
• Family planning and care benefits

  Our Commitment

  We are an equal opportunity employer and value diversity.

  Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.