Lead Technical Program Manager AI Platform

Salary: £60,000 - 60,000 per year

Requirements:

• We have 8+ years of deep, hands-on experience delivering platform or infrastructure programs as a technical program manager, including compute, ML infra, developer tooling, training or inference systems, as well as people and process leadership.
• We have built or scaled a program function and bring ownership with a bias for action.
• We have people leadership experience and can build, coach, and grow high-performing teams while raising the bar on the craft.
• We are highly technical and credible with engineers across ML infrastructure, compute, and embedded systems, even if we do not write production code.
• We have a strong understanding of machine learning, GPUs, and the training and inference of large 500M-20B+ parameter models, plus the compute and orchestration that support them.
• We have embedded / on-vehicle systems experience, including inference optimisation, model deployment to constrained edge / embedded compute, and the associated hardware-software trade-offs.
• We are familiar with compute management and ML platform tooling such as Kubernetes, Ray, Flyte, Docker, cloud Azure, Python, and model-development / experiment workflow tooling.
• We are proficient with AI agents to accelerate execution, such as Cursor, Claude, and Codex.
• We stay neutral and adapt under pressure in ambiguous, fast-moving environments.
• We have strong systems thinking and understand how changes in one part of a complex platform ripple into others.
• We are product-minded and focus on outcomes, prioritising by impact and defining what good looks like.
• We have exceptional cross-functional leadership skills and can align and influence across ML / research, infrastructure, embedded, and engineering without relying on authority.
• We connect platform investment to measurable business outcomes such as developer velocity, compute efficiency, cost, and model performance.
• We are clear, data-driven communicators who set direction with the right metrics.
• We have a growth mindset and are open to feedback.
• Desirable: We have experience working with a large-scale ML / compute platform used by hundreds of engineers and researchers.
• Desirable: We have embedded / edge inference, on-device model optimisation, or hardware-aware ML experience.
• Desirable: We have a background in autonomous vehicles, robotics, or another large-scale ML / infrastructure program.
• Desirable: We have an engineering or computer science degree, or experience working as an engineer.

Responsibilities:

• We build, coach, and grow a small TPM team, including hiring to fill gaps and raise the bar.
• We own platform delivery by partnering with AI Platform leadership on planning, prioritisation, and execution across the roadmap.
• We act as a trusted partner for Engineering leadership to land big outcomes and hold leaders accountable.
• We drive flagship programs directly across data and compute infrastructure, model-development workflow and tooling, training technology, compute management, and embedded / inference optimisation.
• We establish scalable practices, including planning cadences, governance, KPIs and dashboards, escalations, and operational reviews.
• We align cross-functionally with ML / research, infrastructure, embedded, on-vehicle, engineering, and cloud / vendor partners, managing dependencies, risk, and trade-offs.
• We connect delivery to outcomes such as developer velocity, compute efficiency and cost, and training / inference performance.
• We represent AI Platform in company-level reviews.

Technologies:

• AI
• AI Agents
• Azure
• Cloud
• Cursor
• Docker
• Embedded
• Hardware
• Support
• Kubernetes
• Machine Learning
• Python
• Robotics

More:

Founded in 2017, we are Wayve, 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 operate in a fast-paced, high-challenge environment where we embrace uncertainty and ambitious problems to unlock groundbreaking solutions. We value diversity, new perspectives, and an inclusive workplace where we support each other to deliver impact. This is a full-time role based in our London office, with a hybrid working policy that combines time in our offices and workshops with time working from home. We are committed to an inclusive interview experience and encourage applicants who are passionate about self-driving cars and want to make a positive impact.

last updated 36 week of 2026