Top Tech Jobs & Startup Jobs in London

The Tech Lead Manager will manage a small team, contributing to the development of machine learning solutions for autonomous vehicles. Responsibilities include building, integrating, and testing algorithms and tools, with a focus on 3D computer vision and ensuring team-driven project lifecycles are completed successfully.

The Senior Applied Scientist will design and optimize ultra-efficient foundation models for autonomous systems, focusing on TinyML. Responsibilities include developing reinforcement learning techniques, collaborating with researchers and engineers, and enhancing the adaptability and reliability of autonomous vehicles.

Principal Engineer role at Wayve, a leader in autonomous vehicle technology, focusing on software performance, system software, and complex systems. Responsibilities include technical decision-making, mentoring, and contributing to engineering roadmaps. Requires experience as a tech lead with deep understanding of system software and communication skills with senior stakeholders. Full-time role in London with hybrid working policy. Competitive compensation and benefits offered.

Lead the Inference Optimization team at Wayve, refining and productizing AI models for autonomous driving features in consumer vehicles. Manage strategic direction, oversee team, optimize computational efficiency, and ensure seamless integration of AI into automotive technologies.

As the Manager of the Robot Software team at Wayve, you will oversee the development and integration of software solutions crucial for autonomous vehicle functionality. Your role involves team leadership, strategic oversight, software development, real-time system management, fault tolerance, diagnostics, performance monitoring, and resource management. You will also be responsible for talent cultivation within the team.

The Solution Architect at Wayve will define and manage the technical architecture of autonomous driving products, ensuring integration with vehicle systems. Responsibilities include collaborating on product specifications, negotiating with automotive OEMs, working with software architects and validation engineers, maintaining documentation, and keeping abreast of industry trends.