Top AI Jobs in London

The Staff ML/AI Engineer will drive AI technical vision, manage end-to-end development of AI systems, collaborate cross-functionally, and contribute directly to the codebase while ensuring scalability and efficiency of AI solutions.

As a software engineer, you will develop and manage components of data management software, focusing on AI infrastructure at scale. Responsibilities include overseeing product lifecycle and learning new technologies.

The Director of Engineering will lead a team developing AI/ML services, manage projects, uphold engineering best practices, and foster a collaborative work environment.

Drive AI adoption for UK Government by developing tailored LLM solutions, providing technical guidance, and collaborating with cross-functional teams to ensure effective implementation and integration.

Lead AI and ML initiatives globally, overseeing team performance and system architecture while ensuring alignment with business goals through collaboration and innovation.

As a Senior AI/ML Software Engineer, you will develop and maintain ML models, create backend API services, and integrate AI features across Rocket Lawyer's platform in collaboration with diverse teams.

This role requires creating instructional technical content, including detailed documentation and high-quality screencasts, while collaborating with development teams to ensure accuracy and engagement.

As an AI Scientist, you will develop and evaluate novel AI models and methodologies, working collaboratively with cross-functional teams to enhance our AI applications.

The Applied AI Engineer will onboard clients and ensure successful deployment of AI products, collaborating with teams to address customer needs and challenges.

The role involves assessing AI-generated math content, crafting math questions, and evaluating AI responses, requiring expertise in math and Spanish.

The Senior Forward Deployed AI Engineer will drive application modernization projects, explore generative AI technologies, and collaborate with engineering teams to influence product development.

Develop and implement end-to-end features for a video creation platform, mentor junior developers, and maintain high-quality code standards.

The AI Software Developer at WorldQuant will design and build AI-driven products, collaborate with teams, and address complex problems with custom solutions.

The AI Engineer will develop AI/ML solutions using Python, maintain enterprise-level apps in C#, oversee project functionality, and apply machine learning practices.

Develop and implement AI/ML solutions using Python; maintain enterprise applications using C#. Collaborate in a friendly team environment.

The role involves developing and implementing AI/ML solutions using Python and maintaining enterprise-level applications in C#. Responsibilities include ensuring project functionality and utilizing various frameworks and databases.

As an Applied AI Engineer, you will create custom AI applications for public sector clients, focusing on computer vision and language models, collaborating with teams to deliver high-quality AI solutions.