Artificial Intelligence Jobs

Faculty · London

Lead the creation and growth of a dedicated maritime defence unit, owning the full sales lifecycle from market creation to complex contract and pricing negotiations with the Royal Navy, MOD, NATO/AUKUS and industry. Blend deep maritime domain expertise with commercial flair, overseeing multidisciplinary teams delivering AI and data-driven solutions for mission-critical naval needs.

Faculty · London

Serve as a high-level technical authority steering the most complex AI projects, architecting scalable large-scale systems and setting technical direction for flagship initiatives. Provide authoritative advice across business units, influence company-wide technical strategy, and act as a respected expert for internal teams and external customers in the financial services space.

Wayve · London

Owns the technical architecture and roadmap for LiDAR and cross-sensor 3D sensing, developing calibration, registration, temporal alignment and motion compensation methods. Blends algorithm research with production deployment in C++/Python, providing technical leadership and mentorship across the 3D sensing stack.

Wayve · London

Develops, tunes and validates trajectory-generation and motion control algorithms that translate the AI Driver's outputs into safe, smooth vehicle motion across ADAS and AV platforms. Writes latency-sensitive, production-quality C++ control software, using simulation, closed-loop evaluation and on-road testing to characterise controller behaviour and support new vehicle platforms.

eFinancialCareers · London

Hands-on engineering lead building AI-powered products and scalable developer platforms, staying close to code through architecture, system design and reviews. Sets technical direction across full-stack ecosystems (frontend, backend, APIs, cloud) and drives adoption of Generative AI, DevSecOps and platform engineering. Mentors engineering managers and principal engineers across multiple teams.

OpenAI · London

Lead end-to-end deployments of frontier models for strategic customers, owning discovery, scoping, system design, build and production rollout. Build full-stack systems in Python or JavaScript, embed with customer teams and feed field insights back to Research and Product. Requires Spanish fluency and up to 50% travel.

OpenAI · London

Builds and operates the platform that deploys, configures and manages models across ChatGPT, spanning deployment orchestration, rollouts, operational automation and capacity management. Works with research, infrastructure and product teams to turn complex operational processes into reusable, scalable platform capabilities, with a focus on reliability, observability and developer experience.

eFinancialCareers · London · £92,000 – £138,000 pa

Leads end-to-end delivery of enterprise AI platform capabilities, ensuring secure and compliant implementation aligned with AI governance and enterprise architecture. Works across technology, business, risk and vendor teams to take AI initiatives from concept to production, managing roadmaps, budgets, dependencies and stakeholder communications in a regulated banking environment.

Wayve · London

Builds Python services and microservices that orchestrate the end-to-end model-release workflow, integrating feature candidates into release branches and automating readiness checks before training. Connects training platforms, simulation and on-road testing, and productionises services on Azure and Kubernetes with observability and approval gates.

Wayve · London

Develops and maintains Wayve's Core Simulation system in modern C++ and Python, integrating driving-stack components, simulated robot systems and vehicle-platform capabilities. Initially focused on high-scale open-loop evaluation, the role involves debugging on-road versus simulated behaviour, improving reproducibility, observability and automated testing, and profiling simulator performance across a shared codebase.

Wayve · London

Sets technical strategy and roadmap for fault detection and fallback systems in an autonomous driving stack, designing and training detection mechanisms for robust driverless operation. Leads integration into the shared driving stack, aligning ML, inference optimisation and software teams, and mentors through architecture reviews. Works with large-scale training and fleet data in a small, high-impact team.