Engineering Manager - Datasets Enrichment

Wayve; London; On-site; GBP 80,000 - 120,000; Full time

Job summary

Wayve is seeking an Engineering Manager (M4) to lead its Enrichment and Perception team in London. The role involves managing a team of engineers to scale data and ML pipelines crucial for autonomous driving. The successful candidate will define enrichment pipelines and drive quality while collaborating with cross-functional teams in a hybrid working environment.

Qualifications

• Over 2 years of engineering management experience in data, ML, or perception domains.
• Experience designing and scaling ML or data processing systems in production.
• Strong interpersonal skills and experience working with cross-functional stakeholders.

Responsibilities

• Lead and mentor a team of engineers across ML, perception, and data areas.
• Define and scale data enrichment pipelines including semantic segmentation and cuboid annotation.
• Drive architecture decisions for robustness, efficiency, and scalability.

Skills

Engineering Management

Python

Data Processing

ML Systems Design

Systems Thinking

Tools

Spark

Ray

Flyte

Databricks

Job description

London

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.

About us

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.

In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.

Make Wayve the experience that defines your career!

Role Description

We are hiring an Engineering Manager (M4) to lead our Enrichment and Perception team, a core part of Wayve’s Datasets organization. This role will oversee a group of 5–8 engineers responsible for scaling high-throughput data and ML pipelines that power semantic segmentation, cuboid annotation, behavior labeling, and related enrichment workflows.

This team delivers the enriched data that fuels core autonomy development at Wayve. As EM, you will be responsible for both team leadership and systems design, working to scale infrastructure, improve data quality, and drive delivery maturity. You will also help shape the team's structure and practices as we scale the organization.

A key mandate for this role is to scale enrichment pipelines to handle over a million hours of multimodal data — enabling the training and evaluation of next-generation massive pre-trained models for autonomous driving. This will require architectural maturity, automation-first thinking, and strong partnership with ML, Science, Product, and platform teams.

Key Responsibilities

• Lead, grow, and mentor a team of 5–8 engineers across ML, perception, and data domains.
• Define and scale data enrichment pipelines, including:
• Semantic segmentation and cuboid annotation
• ML-in-the-loop systems (e.g., model-assisted triage)
• Set and drive quality and throughput goals for all enrichment outputs.
• Drive architecture decisions that ensure robustness, efficiency, and scalability.
• Partner with infra and platform teams to productionize enrichment systems.
• Define and monitor data quality metrics; lead efforts to improve and enforce quality at scale.
• Collaborate with teams across autonomy, research, simulation, and data QA to align on deliverables and priorities.
• Act as a senior technical and organizational leader during a phase of rapid team and system scaling.
  
  

About you

In order to set you up for success as a Engineering Manager - Datasets Enrichment at Wayve, we’re looking for the following skills and experience.

Essential Skills and Experience

• 2+ years of engineering management experience in data, ML, or perception domains.
• Proven experience designing and scaling ML or data processing systems in production.
• Strong systems thinking across latency, throughput, observability, and robustness.
• Technical fluency in Python and/or modern data stack (e.g. Spark, Ray, Flyte, Databricks).
• Track record of delivering high-quality engineering outcomes in complex domains.
• Strong interpersonal skills; experience working with cross-functional stakeholders.
• Experience with people development, coaching, and performance management.
  
  

Desirable Skills and Experience

• Prior experience in autonomous vehicles, computer vision, or robotics.
• Familiarity with labeling workflows and ML-assisted annotation systems.
• Experience with data quality monitoring and operational analytics.
• Familiarity with the challenges of scaling teams and systems in a fast-growing startup.

This is a full-time role based in our office in London, England, UK. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

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