Top AI Jobs in London

Design and implement AI infrastructure for intelligent functionality. Collaborate across teams to scale AI impact globally, ensuring AI systems are robust and production-ready.

The AI/ML Specialist Solutions Architect designs AI solutions for clients, resolves technical challenges, and manages scalable AI deployments.

As a Senior Generative AI Engineer, you will develop AI applications, collaborate with engineers, optimize solutions, and drive architectural improvements.

The Staff ML Engineer / ML Team Lead at Zencoder will lead the development of AI-driven solutions, focusing on AI pipelines and models for code generation and refinement. Responsibilities include creating embedded AI agents, collaborating with teams, testing solutions, and staying updated on industry trends.

The Senior Full Stack Engineer will design, develop, and maintain web applications, working with frontend and backend technologies in an AI team.

As a Staff Machine Learning Engineer at Mozilla, you will lead the integration of Generative AI solutions in Firefox, develop infrastructure for model training, and optimize deployed models while mentoring junior engineers.

The AI Engineer will design, develop, and deploy AI prototypes quickly, working with engineering teams to create innovative solutions using ML and AI technologies.

Design, develop, and deploy AI prototypes; collaborate with teams; utilize machine learning and AI technologies; create demos and optimize performance.

The AI Engineer will design, develop, and deploy AI prototypes, work on innovative AI solutions, and collaborate with teams to optimize performance and scalability.

Design and build AI infrastructure for various applications, ensuring robustness and reusability while collaborating with different teams.

Support the development and deployment of AI solutions, gain exposure to machine learning and natural language processing, and collaborate on AI capabilities integration.

Lead the design and scaling of data pipelines for generative video models, ensuring data quality and efficient processing. Oversee a team of data engineers and collaborate with various stakeholders.

The Lead/Principal Python Engineer will develop and maintain LLM-based applications, optimize Generative AI solutions, collaborate with global teams, mentor engineers, and ensure quality in agile delivery.

As a GTM AI Automations Engineer, you'll build infrastructure for scaling go-to-market teams, deploying AI agents, and automating workflows.

The role involves designing and maintaining large-scale HPC/AI clusters, managing workloads, developing automation tooling, and troubleshooting systems.

The Senior AI/ML Engineer will design, develop, and deploy language models for African languages, ensuring cultural relevance and accuracy, while collaborating with interdisciplinary teams.