Top Tech Jobs & Startup Jobs in London

Own the safety-case strategy and architecture for Wayve’s robotaxi and ADAS products. Define safety claims, arguments, evidence structures, traceability, and assurance approaches across AI, systems engineering, validation, cybersecurity, and operations. Independently challenge safety cases, identify gaps and residual risks, advise governance forums, and coach engineering and product leaders. Partner across technical teams to align requirements, architecture, validation, and release decisions with a rigorous, scalable safety argument.

Owns release gates and quality standards across Wayve’s machine learning training and delivery lifecycle. Reviews model and metric changes, validates evaluation results, identifies pipeline bottlenecks, and builds checks and automation with AI Platform and CI/CD teams. The role also improves evaluation methodology, model delivery workflows, and MLOps practices while ensuring model releases meet safety and performance standards.

Develop efficient generative world models and planners for closed-loop autonomous-driving simulation. Responsibilities include designing diffusion or transformer-based models, enabling interactive agent simulation, optimizing inference latency and compute efficiency, defining evaluation metrics, integrating models into training and evaluation workflows, measuring sim-to-real performance, mentoring researchers, and contributing to technical roadmaps and publications.

Build and maintain scalable Python libraries, tools, and infrastructure enabling machine learning teams to train, evaluate, and deploy models at scale. Develop abstractions for distributed training, data loading, inference, checkpointing, and evaluation; support large GPU clusters and cloud environments; optimize multimodal data pipelines; and improve reliability through architecture, testing, observability, documentation, and maintainability.

Support Engineering employees and managers across employee relations, performance, engagement, learning and development, policies, and the employee lifecycle. Act as a first point of contact for People queries, manage routine ER processes, prepare documentation, analyze People data, maintain resources, support offboarding, and contribute to company-wide initiatives. The role requires strong UK employment law knowledge, coaching ability, sound judgment, and experience working with technical stakeholders in a fast-paced organization.

Build and operate globally distributed data-transfer infrastructure for video, LiDAR, and sensor data at petabyte-per-day scale. Design parallelized pipelines using Flyte, Kafka, Azure, Python, and Terraform; implement reliability, observability, integrity checks, backfills, dashboards, alerting, and cloud-to-cloud networking. Collaborate with product and external partner teams, support evolving requirements, and participate in an out-of-hours on-call rotation.

Lead global product marketing for Wayve’s Embodied AI software products targeting automotive OEMs, Tier 1 suppliers, and systems architects. Develop positioning, value propositions, campaigns, content, sales enablement, competitive analysis, thought leadership, and industry-event initiatives. Translate complex AI and automated-driving technologies into compelling customer messaging, support pipeline growth, and collaborate cross-functionally with Product, Engineering, Automotive, Business Development, and Marketing teams.

Lead complex, cross-functional technology programs across AI, software, robotics, infrastructure, data, evaluation, validation, and product teams. Own project delivery, improve workflows and tooling, manage risks and dependencies, align stakeholders, support strategic priorities, and drive continuous process improvement. The role requires strong technical understanding, systems thinking, communication, project management, and the ability to influence teams in an ambiguous, fast-paced environment.

Design and execute automated tests for onboard embedded software across operating systems, hardware platforms, sensors, middleware, and integration points. Validate systems in hardware-in-the-loop environments, debug issues across software and hardware boundaries, collaborate with engineers to close test gaps, and contribute to CI pipelines and reusable test frameworks. The role supports earlier developer testing and expanded validation coverage for autonomous driving systems.

Partner with AI engineering teams to develop metrics, design driving experiments, analyze real and simulated driving data, and identify improvements to the Wayve AI Driver’s functionality, safety, and performance. The role requires advanced statistical analysis, production SQL, data visualization, actionable insight generation, and cross-functional influence. Experience with machine learning, causal inference, Bayesian methods, and distributed computing is desirable.