Artificial Intelligence Jobs

Wayve · London

Builds reusable Python libraries and platform tooling for multimodal data loading, distributed training, inference, checkpointing and observability, supporting ML teams running models across thousands of GPUs. Partners closely with researchers to turn complex workflows into stable, scalable software, leading projects from discovery to delivery. A software and platform engineering role rather than ML modelling.

Wayve · London

Develop next-generation generative world models and planners such as GAIA, simulating complex driving environments for faster training and scalable deployment. Work spans diffusion and transformer architectures, latent compression, context pruning and inference-latency optimisation, with closed-loop agent interaction and sim-to-real evaluation. The role combines ML research, multi-modal modelling and production deployment, including mentoring and publishing.

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.

Faculty · London

You will own and evolve the internal delivery platform that supports over 100 data scientists and ML engineers, building MLOps, data science and deployment tooling. Day to day involves infrastructure-as-code, DevSecOps, containerised microservices and integrating core services across AWS, Azure and GCP. The role sits in a small, fast-moving team focused on removing technical friction for customer-facing delivery 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 scales the infrastructure that trains and deploys AI agents, spanning a novel in-house container orchestration platform, FastAPI and gRPC APIs, and Terraform-managed cloud systems. Works closely with researchers on large-scale training runs and with product teams launching agentic products to hundreds of millions of users.

Wayve · London

Owns the end-to-end architecture and technical roadmap for Remote Assistance, the real-time bridge between Wayve's AI Driver and human operators, spanning onboard vehicle integration, offboard services and operator HMI. Defines the vehicle-operator contract, fallback/MRM behaviour and latency budgets, and leads cross-org execution across autonomy, safety, platform and product teams to support L4 operation.

Wayve · London

Lead large-scale training and post-training for Gaia, Wayve's world model that predicts future driving video and runs closed-loop with the driving stack. Own model architecture decisions, push autoregressive rollouts toward longer, more stable generation, and make the model deployment-ready. Partner with research, applications, simulation engineering and cloud teams, mentoring and setting technical direction.

Faculty · London

Lead end-to-end delivery of complex AI and data science projects for UK government national security clients, acting as a commercial and delivery lead who bridges technical AI research and operational mission needs. The role involves building trusted relationships with government partners, writing proposals and responding to RFPs to unlock new AI use cases, and mentoring multidisciplinary teams. Distinct for its focus on high-stakes national security and AI safety work, with eligibility for UK Developed Vetting and occasional on-site client work.

Faculty · London

Owns end-to-end delivery of high-impact AI projects for clients in professional and financial services, acting as the link between customers and technical teams. Involves scoping, designing AI solutions, managing development, and building senior stakeholder relationships while spotting new commercial opportunities.

Faculty · London

Oversees a portfolio of Applied AI projects as the senior point of contact for clients and internal teams, managing delivery quality, commercial margins and scope. Combines strategic consulting with business development, writing proposals and growing accounts, while mentoring cross-functional teams using Agile, Scrum or Kanban. Based in the Professional and Financial Services unit serving highly regulated industries.

Faculty · London

Build and lead a Professional Services practice, shaping go-to-market strategy and leading complex AI transformation programmes for major firms. Act as a strategic advisor to C-suite leaders, driving commercial growth and guiding multidisciplinary teams of engineers and data scientists. Focus on agentic AI in regulated, knowledge-work-heavy sectors.

Faculty · London

Owns and develops product and service design as a core discipline within the Applied AI division, delivering billable client engagements and anchoring project deliverables. Builds executive relationships with client leadership, defines skill and progression frameworks, and partners with business development to shape multidisciplinary teams. Balances strategic delivery with building an entrepreneurial design function.

Faculty · London

Lead the design, build and deployment of production-grade ML and software systems for clients across pharma, academia and MedTech. The role blends hands-on Python and cloud engineering with architecture decisions, client-facing advisory work and mentoring junior engineers. It sits within a cross-functional life sciences team focused on AI for therapy research and commercialisation.

Faculty · London

Supports the delivery of bespoke AI solutions for pharmaceutical and life sciences clients, managing individual work streams, analysing stakeholder requirements and translating operational needs into user stories for engineering teams. Involves open-source analysis, workflow design and testing, and close collaboration with technical teams in a small, client-facing team.