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Software Engineer, Data Enrichment Platform

wayveLondon, United KingdomSimulation, Evaluation, Validation
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Salary
Not listed
Job type
Full-time
Experience
Mid
Posted
2 Oct 2026
Status
Open · checked 8d ago

About this role

Based in London, United Kingdom, the Software Engineer, Data Enrichment Platform role involves building systems for processing petabytes of driving data on large GPU fleets. This position suits software engineers with strong Python production experience who want to build platforms for machine-learning model deployment and evaluation.

Role Overview

Wayve is hiring a Software Engineer for its Data Enrichment Platform team in London. The position focuses on designing, building, and operating backend services, APIs, and data-processing workflows that empower model engineers to deploy, run, and evaluate machine-learning models at scale. Team members work with petabytes of driving data across large GPU fleets to improve scalability, reliability, and cost-efficiency.

Key Responsibilities

Design, build, and operate backend services, APIs, and data-processing workflows for the Data Enrichment Platform.
Develop model-execution workflows, versioned outputs, annotation capabilities, and dataset-catalogue features.
Improve system scalability and reliability for large-scale inference, automated evaluation, and model monitoring.
Investigate and resolve reliability, performance, and cost issues across petabyte-scale data and GPU-backed workloads.
Contribute to designs covering data locality, scheduling, capacity, backpressure, failure recovery, and observability.
Collaborate with model engineering, AI Platform, infrastructure, compute, storage, and data teams to deliver reusable capabilities.
Write maintainable, tested, and observable software while improving documentation, operational tooling, and engineering standards.

Requirements

Strong production software-engineering experience in Python, including building maintainable, tested, and observable backend services, APIs, or data-processing systems.
Experience designing, building, or operating distributed systems for data-intensive or compute-intensive workloads.
Delivered reliable software from design through deployment and production operation.
Good system-design fundamentals and the ability to make sound technical trade-offs within a complex platform.
Comfort investigating unfamiliar systems and diagnosing reliability, performance, or operational issues.
Clear communication, effective cross-functional collaboration, and the ability to take meaningful ownership of production components.

Nice to Have

Experience with Flyte, Airflow, Dagster, Argo, Spark, Databricks, Ray, Kubernetes, GPU infrastructure, or ML-platform systems.
Experience with production robotics or computer-vision platforms, including annotation, inference, evaluation, and model monitoring.

Skills and Tools

Python
APIs and backend services
Distributed systems
GPU infrastructure
Flyte, Airflow, Dagster, Argo, Spark, Databricks, Ray, and Kubernetes

Salary and Benefits

Salaries benchmarked against the market annually.
Meaningful equity sharing in the ownership and long-term success of the company.
Relocation support and visa sponsorship where applicable.
Hybrid working model with core hours and access to vehicle workshops and labs.
Learning and development budgets for training, conferences, and growth.
Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension, access to therapists, wellbeing partnerships, and team socials.

About the Company

Wayve builds an embodied intelligence and AI platform for autonomous driving, enabling vehicles to learn directly from real-world experience without hand-coded rules or pre-mapped environments. The company operates main hubs in London, Sunnyvale, Yokohama, Herzliya, Vancouver, and Leonberg, utilizing a hybrid working model.

How to Apply

Candidates should apply directly on the official company careers page.

Skills and tech stack

PythonFlyteAirflowDagsterArgoSparkDatabricksRayKubernetesGPU infrastructureSQLComputer VisionMachine LearningDistributed Systems

Questions candidates ask

Where is this job located?

This role is based in London, United Kingdom, utilizing Wayve's hybrid working model.

What programming language is required?

Strong production software-engineering experience in Python is required.

What tools or platforms are considered an advantage?

Experience with Flyte, Airflow, Dagster, Argo, Spark, Databricks, Ray, Kubernetes, GPU infrastructure, or ML-platform systems is an advantage.

What does the interview process look like?

The process includes an initial call with a talent partner, competency interviews covering Python coding and system design, deep dive interviews covering SQL domain and a hiring manager interview, and a final interview on mission, values, and calibration.

Is visa sponsorship available?

Yes, relocation support and visa sponsorship are provided where applicable.

Ready to apply?

The application is on the official wayve careers page.

Apply on company site