Latest E-commerce Jobs

Reinforcement Learning Engineer - Manipulation

Develop and train reinforcement learning policies for robotic manipulation using language and vision inputs, both in simulation and on real-world humanoid robots. Work across the full development pipeline, from creating diverse simulation tasks to deploying and refining policies on physical systems. Collaborate with teleoperations and testing teams to improve data collection and real-world performance.

Humanoid London, United Kingdom
On-site Permanent

FP&A Lead

The FP&A Lead will lead financial planning and analysis, driving budgeting, forecasting, and performance reporting across the company. This role involves building scalable financial models, partnering with functional leads, and enhancing financial systems to support Humanoid’s growth. The person will work closely with engineering, operations, and commercial teams to provide strategic insights and support decision-making in a fast-paced robotics startup environment.

Humanoid London, United Kingdom
On-site Permanent
W

Senior Software Engineer, Cloud, Simulation

This role involves developing and enhancing Wayve’s high-fidelity simulation platform for autonomous driving systems, focusing on realism, scalability, and integration of machine-learned components. The engineer will work on core technical challenges including robot emulation, visual fidelity, and large-scale cloud-based simulation. Collaboration with robotics, research, and data teams is key to delivering accurate, high-signal simulations that support the development of embodied AI for automated driving.

Wayve London, United Kingdom
Hybrid Permanent
W

Staff ML Performance Engineer (Inference Optimisation)

Optimise machine learning inference performance for edge accelerators and GPUs, focusing on efficient execution of large transformer models on low-power devices. Profile bottlenecks across the full stack—from model graph to kernel execution—and implement compiler, runtime, and kernel-level optimisations. Build benchmarking systems and collaborate with model teams to influence architecture for on-device efficiency.

Wayve London, United Kingdom
Hybrid Permanent
W

Principal Engineer, Data & Compute

This role involves designing and leading the evolution of large-scale AI infrastructure for training and inference workloads across thousands of GPUs and petabytes of driving data. The Principal Engineer will architect global compute and data federation systems, enabling seamless cross-region execution in hybrid and multi-cloud environments. Emphasis is placed on scalability, resilience, and performance to support Wayve’s mission of building mapless, embodied AI for autonomous vehicles.

Wayve United Kingdom US$370,300 – US$418,200 pa
Hybrid Permanent
W

Engineering Manager, Runtime Platform, Robot Software

Lead the Runtime Platform team at Wayve, responsible for building and maintaining the real-time application frameworks, middleware, and observability systems that power AI-driven vehicles. You'll guide technical direction in embedded systems and IPC, while growing and coaching a high-performing engineering team. The role involves close collaboration with vehicle software, hardware, and OEM teams to enable scalable, low-latency performance across new vehicle platforms.

Wayve London, United Kingdom
Hybrid Permanent
W

DevOps Engineer

This role involves building and maintaining CI/CD pipelines and build infrastructure to improve software delivery speed, reliability, and developer experience across engineering teams. The engineer will troubleshoot complex build issues, scale CI systems, and develop automation tools that directly impact engineering productivity in a fast-paced AI and robotics environment. Key focus areas include performance optimization, security, and operational scalability of developer workflows.

Wayve London, United Kingdom
Hybrid Permanent
W

Staff Robotics Engineer, 3D Sensing

This role involves leading the technical development of LiDAR and cross-sensor 3D sensing systems for autonomous vehicles. The engineer will design calibration, synchronisation, and motion compensation methods to ensure accurate 3D data across diverse environments and sensor configurations. The position requires deep technical expertise in robotics algorithms, sensor fusion, and production deployment within a fast-paced AI-driven environment.

Wayve London, United Kingdom
W

Software Engineer, Simulation

Develop and maintain high-performance simulation systems for Wayve’s embodied AI driving stack, integrating complex components across C++ and Python. Focus on realism, reproducibility, and scalability in open-loop and closed-loop workflows. Collaborate with cross-functional teams to debug discrepancies between on-road and simulated behaviour and improve system observability and performance.

Wayve London, United Kingdom
W

Applied Scientist/Machine Learning Engineer Gaia

Develop next-generation generative world models and interactive simulation systems to enable closed-loop training and evaluation of autonomous driving AI. Focus on high-efficiency, real-time rollouts using diffusion, transformers, or hybrid architectures, with integration into scalable deployment pipelines. Work at the intersection of ML research and real-world application, optimizing for latency, coherence, and sim-to-real fidelity.

Wayve London, United Kingdom
W

Software Engineer, AI Libraries

Design and build scalable Python libraries and tools that support ML engineers and researchers in training and evaluating models for autonomous driving systems. Work closely with ML teams to develop reliable, observable, and reusable abstractions for data pipelines, distributed training, and model evaluation across large GPU clusters. Contribute to the evolution of a high-impact AI platform enabling mapless, hardware-agnostic automated driving.

Wayve London, United Kingdom
W

Model Release Engineer

The role involves building and automating the end-to-end platform for releasing AI models, integrating systems across training, simulation, testing, and deployment. The engineer will design scalable, observable workflows, improve reliability, and use AI-assisted tools to streamline the model release lifecycle. Collaboration with cross-functional teams is key to aligning interfaces and resolving delivery challenges.

Wayve London, United Kingdom
W

Staff Robotics Engineer, AV Core

As a Staff Robotics Engineer, you will lead the technical direction and delivery of fault detection and fallback systems for driverless operation. You will collaborate with machine learning experts, design robust systems, and integrate them into the shared driving stack, ensuring the overall robustness of the robot system.

Wayve London, United Kingdom
W

Machine Learning Engineer (Synthetic Data)

Build and scale next-generation world model architectures to generate high-fidelity synthetic data for autonomous driving systems. Bridge ML research and engineering by integrating generative models into large-scale training pipelines, diagnosing generation failures, and improving throughput. Work across simulation, 3D geometry, and multi-sensor data to enable training of driving models on scenarios with limited real-world data.

Wayve London, United Kingdom
W

Staff Machine Learning Engineer - Ops

This role focuses on ensuring the quality and reliability of machine learning model releases through rigorous validation and process standardization. The engineer will work across training phases, collaborating with platform, CI/CD, and evaluation teams to improve delivery pipelines and implement robust MLOps practices. The position is central to maintaining model integrity and safety in a high-stakes autonomous driving environment.

Wayve London, United Kingdom