Staff Tech Lead Manager, Machine Learning

Requirements

• 8+ years in ML engineering, including hands‑on computer vision with camera and/or lidar sensor data, and a track record of shipping production ML systems from research through to reliable, monitored, customer-facing software.
• 2+ years line‑managing or tech‑leading senior engineers, including hiring, developing, and retaining strong ICs, with the appetite to keep doing both halves of the TLM role.
• Staff‑level technical depth that earns the trust of senior MLEs: transformer‑based and multimodal architectures, foundation models, and large‑scale training, with the ability to review designs and code credibly.
• Proficiency in Python and ML frameworks, especially Py Torch, with strong judgement about what production‑grade looks like for ML systems.
• Strong cross‑functional leadership: aligning roadmaps across teams and geographies, and communicating technical context and strategic direction clearly to engineers and senior leadership.
• Knowledge of perception systems and 3D scene understanding for autonomy, such as cuboid detection, lane estimation, depth estimation, and large‑scale semantic enrichment of driving scenes.
• Experience with off‑board or offline models: auto‑labelling, model distillation, temporal or world models, or other ways of exploiting compute that on‑vehicle systems cannot.
• Familiarity with simulation or counterfactual evaluation methods for autonomous systems.
• Experience leading or partnering with distributed teams across UK and US time zones.
• MS or Ph D in Computer Science, Engineering, or a related field.

Responsibilities

• Lead and grow the team by directly managing four Senior MLEs in London, hiring complementary talent across MLE, SWE, and data science profiles as scope grows, and developing strong senior ICs while holding a high bar.
• Own the technical direction by guiding the architecture for adapting shared on‑vehicle models and Wayve Foundation Models for offline measurement use, using higher compute budgets, larger model capacity, and access to past and future temporal context.
• Own the roadmap by driving planning at sprint, quarterly, and annual cadences, translating ambiguous business goals into concrete technical programmes, and balancing long‑term direction with day‑to‑day execution.
• Drive production quality by building rigorous engineering practice for ML systems relied on for customer‑facing deliverables, championing rig‑agnostic and generalisable architectures with clean interfaces, and maintaining architectural quality in a fast‑moving environment.
• Accelerate the development loop by ensuring the teams models reduce the time between a driving‑model iteration and reliable, actionable feedback, making the AV development loop faster.
• Partner and anticipate by aligning roadmaps with on‑vehicle modelling and Evaluation teams across the UK and US, resolving technical conflicts at the right level, and identifying capability gaps 6-24 months out to build the case for investment.

Technologies

• AI
• Computer Vision
• Hardware
• Py Torch
• Python
• Machine Learning

More

Founded in 2017, we are the leading developer of Embodied AI technology.

Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate complex environments, improving the usability and safety of automated driving systems.

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

We are a fast‑paced team that embraces uncertainty and complex challenges, values diversity and inclusion, and supports each other to deliver impact.

This is a full‑time Staff Tech Lead Manager role based in our London office, with a hybrid working policy that combines time in our offices and workshops with time working from home.

• last updated 36 week of 2026
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