Engineering Manager - Datasets Enrichment job opportunity at Wayve Technologies Ltd.

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Wayve Technologies Ltd Engineering Manager - Datasets Enrichment
Experience: 4-years
Pattern: full-time
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AI Engineering

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degreeBachelor's (B.Sc.)
loacation London, United Kingdom
loacation London....United Kingdom

We are hiring an #Engineering #Manager (M4) to lead the team responsible for both semantic enrichment pipelines and the final silver and gold layers of the #Wayve Corpus. This team transforms multimodal driving #data and perception model outputs into reliable, high quality data #products used across autonomy, evaluation, simulation, and #research. The role combines high scale ML in the loop enrichment pipelines such as semantic segmentation, cuboid annotation, embeddings, and BC and ODD signals with production grade data #engineering ownership including schema governance, table interfaces, #quality gates, lineage, and SLO based #operations. You will lead a team of up to 10 #engineers across #ML engineering, perception, and data engineering. You will own a multi quarter roadmap that scales enrichment throughput, improves data quality, and hardens corpus tables used across Wayve. You will partner with application, model training, and evaluation, teams to ensure alignment on requirements and interfaces. This role requires a leader comfortable at the intersection of ML systems and data engineering who can provide clear direction, reliable delivery, and strong people leadership during a period of significant technical and organizational scaling. __ Key Responsibilities Lead, coach, and grow a team of up to 10 engineers across ML engineering, perception, and data engineering. Define team structure, roles, leveling, hiring needs, and long term growth plans. Own and scale semantic enrichment pipelines including semantic segmentation, cuboids, embeddings, scenario, and ODD classification. Integrate ML assisted labeling, validation, and automated quality checks into enrichment workflows. Own the silver and gold layers of the Wayve Corpus including schema evolution, versioning, documentation, lineage, observability, and SLO backed operations. Establish data quality gates and quality metrics for enriched and corpus level data. Deliver a multi quarter roadmap spanning enrichment and corpus systems with predictable execution. Lead architecture decisions to improve efficiency, maintainability, and reliability. Partner with Data Platform on distributed compute systems including #Spark, #Databricks, Ray, and Flyte. Align with autonomy, evaluation, and research teams on corpus requirements, interfaces, and lifecycle.

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Engineering Manager - Datasets Enrichment Applicants are expected to have a solid experience in handling AI Engineering related tasks