Senior Staff Engineer — Data Platform for Scalable AI

OpenDigital Limited

Greater London

Hybrid

GBP 120,000 - 180,000

Full time

11 days ago
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Job summary

Wayve is seeking a Staff Software Engineer to own the technical vision for the Data Enrichment Platform, enabling teams to deploy, run, evaluate and improve machine-learning models. You will shape a self-service platform that handles petabytes of driving data across large GPU fleets, collaborating with model engineering, infrastructure, compute and data teams.

You will remain hands-on while guiding multi-team delivery, mentoring engineers, and driving reusable capabilities.

Qualifications

  • Experience owning the long-term technical direction and measurable outcomes of a complex, multi-system platform or capability.
  • Strong production software-engineering experience in Python, including building maintainable, tested and observable backend services, APIs and data-processing systems.
  • Deep experience designing and operating large-scale distributed systems for data-intensive or compute-intensive workloads.
  • A track record of productising internal platforms for broad adoption, with a focus on reliability, usability and self-service.
  • Excellent architecture and technology judgement, combined with the ability to remain hands-on and lead delivery across organisational boundaries.
  • Strong communication and influencing skills, with experience mentoring senior engineers and aligning multiple technical teams.

Responsibilities

  • Define the technical vision and architecture for Wayve’s end-to-end Data Enrichment Platform.
  • Lead the development of backend services, APIs, model-execution workflows, versioned outputs, annotation capabilities and dataset catalogues.
  • Build scalable and reliable systems for large-scale inference, automated evaluation, model monitoring, active learning and retraining.
  • Partner with platform teams to address data locality, scheduling, capacity, backpressure, failure recovery, observability and cost across petabyte-scale datasets and large GPU fleets.
  • Make effective build, buy, reuse, integrate, consolidate and replace decisions as Wayve’s requirements and the technology landscape evolve.
  • Establish clear technical boundaries and working relationships across AI Platform, infrastructure, compute, storage, data and model-engineering teams.
  • Remain hands-on while leading cross-team delivery, mentoring engineers and driving the adoption of reusable, self-service platform capabilities.
  • Define measurable service levels and success metrics covering platform reliability, throughput, cost, automation and adoption.

Skills

Python
Backend services
Distributed systems
Productising internal platforms
Architecture judgement
Mentoring engineers
Flyte
Airflow
Dagster
Argo
Spark
Databricks
Ray
Kubernetes
GPU infrastructure

Tools

Kubernetes
Databricks
Spark
Ray

Job description

Wayve is seeking a Staff Software Engineer to own the technical vision for the Data Enrichment Platform, enabling teams to deploy, run, evaluate and improve machine-learning models. You will shape a self-service platform that handles petabytes of driving data across large GPU fleets, collaborating with model engineering, infrastructure, compute and data teams.

You will remain hands-on while guiding multi-team delivery, mentoring engineers, and driving reusable capabilities.

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