Staff Tech Lead Manager, Machine Learning, Vision Models

Overview

You will lead a London-based team of Senior Machine Learning Engineers to advance offline scene-understanding and measurement for autonomous driving. You’ll set scalable architectures and translate business goals into clear roadmaps while ensuring reliability for customer-facing deliverables. The role aligns multiple UK/US teams across on-vehicle modelling, foundation models, evaluation, and simulation to drive end-to-end measurement capability. You’ll shape the technical direction and build systems that connect driving-model changes to robust evaluation, with a strong focus on impact and ownership.

Pay / Benefits

• market-based salary
• meaningful equity
• relocation support and visa sponsorship
• hybrid working
• learning and development support
• health, pension, and wellbeing benefits

Responsibilities

• Lead and develop a London-based team of Senior Machine Learning Engineers while remaining deeply engaged in technical direction
• Define architecture for robust offline scene-understanding and measurement models
• Translate ambiguous business goals into sprint, quarterly, annual, and multi-year roadmaps
• Review designs and code, raise engineering quality, and ensure models are reliable for customer-facing deliverables
• Align roadmaps across on-vehicle modelling, foundation models, Evaluation, Simulation, and Model Development Platform teams in the UK and US
• Identify capability gaps ahead of demand and build the case to address them

Key requirements

• 8+ years in ML engineering with hands-on computer vision using camera or lidar data and a track record of shipping production ML systems
• 2+ years managing or tech-leading senior engineers
• Staff-level depth in transformers, multimodal systems, foundation models, and large-scale training
• Proficiency in Python and PyTorch or equivalent framework with strong production-grade ML judgment
• Ability to align roadmaps across teams/geographies and communicate technical strategy to senior stakeholders
• Experience with 3D scene understanding, offline models, simulation, counterfactual evaluation, or distributed teams is beneficial

• leadership experience and people management
• strategic thinking and roadmap planning
• clear technical communication to senior stakeholders
• transformers
• multimodal systems
• foundation models

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