Top AI Jobs in London

The Senior Research Scientist will conduct high-impact AI safety research, lead evaluations and red-teaming projects, and support academic publication efforts in applied AI safety.

We seek an AI Engineer to build AI-powered applications, focusing on backend development, AI/ML frameworks, prompt engineering, and cloud services.

The Head of AI will lead applied-AI projects, design large-scale systems, prototype workflows, and manage a team of AI engineers, ensuring integration with cybersecurity processes.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

The role involves engineering, testing, and the development of advanced frontend components for an AI-driven cybersecurity product, integrating AI features and ensuring best practices are followed.

The Fullstack Engineer will focus on product software engineering, agents framework engineering, and R&D in AI and cybersecurity. Responsibilities include hands-on engineering, testing, and integrating AI Agents into existing systems.

The role involves assessing AI infrastructure readiness for data centers, guiding design strategies, and collaborating with global partners for high-density AI workloads.

Lead the rollout and scaling of AI across the Moonpig Group, ensuring its adoption and impact in all business functions while managing teams and AI programs.

The AI Automation Manager will drive automation initiatives, collaborate across teams, lead AI enablement, and ensure effective use of AI tools to deliver business impact.

The Head of Data & AI leads initiatives in data and AI, focusing on remediation, governance, infrastructure development, and collaboration with various teams to ensure ethical AI use and data-driven decision-making.

Lead the AI compiler team to develop compilers for NextSilicon's platforms, leveraging expertise in large-scale compiler development and machine learning.

The role involves developing an AI compiler for NextSilicon's platforms, working hands-on in a collaborative team environment to achieve high-performance computing results.

Design end-to-end experiences for AI Studio, collaborating with teams to create user-friendly, impactful designs while contributing to a design system.

As an AI Engineer, you'll design AI tools for authors, enhance internal workflows, and build tools for AI development, collaborating with teams to identify AI opportunities.

Develop and optimize AI models in PyTorch for NPU architecture, analyze existing frameworks, and collaborate with the compiler team to enhance performance.

The role involves managing the development and delivery of AI products, collaborating with diverse teams to enhance compliance solutions, and monitoring AI product performance.

As a Senior Full Stack Engineer, you'll build AI agents and full-stack applications for a central GenAI Platform, ensuring secure and efficient deployment and validation of innovative solutions across healthcare and other industries.

The Senior Applied AI Engineer will build and scale Generative AI systems, develop AI platform services, and ensure governance while working with cross-functional teams towards a net-zero future.

The VP of Business Development will lead strategic partnerships in the adtech industry, expand performance solutions, identify revenue opportunities, and manage stakeholder relationships.

As a Senior Software Engineer at Nebius, you'll design and develop a large-scale LLM training platform, maintain ML infrastructure, and improve job scheduling strategies.

The AI Engineer at WRITER develops robust AI models and collaborates with teams to integrate ML capabilities into products, ensuring performance and scalability.

The Customer Architect will support customers by creating customized solutions, implementing APIs, and ensuring technical feasibility while enhancing customer success.

As an AI Learning Architect, design AI-driven learning frameworks, ensuring effective pedagogy and compliance, while collaborating with AI teams and content experts.

The AI Specialist, Customer Success ensures customers achieve business outcomes using Zendesk's AI solutions by driving adoption, managing health, advocating for clients, and collaborating with internal teams.

As an AI Solutions Architect, you'll demonstrate Solace Agent Mesh, lead customer engagements, create reference architectures, and develop industry-specific AI solutions.