Top AI Jobs in London

Lead the design and implementation of AI systems for a new AAA Extraction Battle Royale shooter, mentoring junior designers and collaborating with teams.

As an AI retrieval Software Engineer, you will design, implement, and optimize AI retrieval systems, collaborate with cross-functional teams, and ensure high performance and reliability of services.

As an AI Engineer, you'll develop LLM-based features, create evaluation frameworks, optimize performance, and engage with users to drive product development.

Lead the development of applied computer vision models for retail execution, mentor a team, and ensure robustness of model performance on various platforms.

Lead AI strategy at Cleo by establishing the ML/AI roadmap, inspiring teams, and integrating AI into product development, ensuring alignment with business goals.

As an AI Scientist, you will enhance safety mechanisms for LLMs, conduct adversarial testing, develop monitoring tools, and collaborate on ethical AI practices.

Solirius Reply invites candidates to register interest in AI roles, looking for innovative thinkers with a background in AI and a blend of technical skills and business understanding.

Join WorldQuant's AI team to build and implement AI models for investment strategies, optimizing financial operations across the firm.

As a Staff Software Engineer, you will enhance reliability for AI systems, set service level objectives, design monitoring systems, and lead incident responses.

The AI Inference Engineer will develop APIs for AI inference, benchmark and optimize the inference stack, improve system reliability, and explore LLM inference optimizations. They will engage in large-scale deployment of machine learning models for real-time usage.

As an AI Engineer, you will design and develop AI-driven solutions, collaborating with customers to prototype and deploy applications that solve industrial challenges using generative AI and machine learning.

The role involves designing, developing, and deploying AI-driven workflows and solutions for industrial applications using generative AI and machine learning while collaborating with customers to solve complex problems.

The AI Engineer will develop and implement generative AI models, evaluate AI performance, integrate AI into production, and collaborate with diverse teams.

The Senior Principal AI/ML Engineer will lead the design and deployment of AI/ML solutions in drug discovery, collaborate with cross-functional teams, and mentor engineers while ensuring best practices in MLOps.

Evaluate and improve AI-generated code, build React components, solve coding problems, and provide instructional guidance for frontend development projects.

The role involves developing dynamic user interfaces for AI products, optimizing applications, creating reusable components, and collaborating with the AI team.

The AI Engineer will build and deploy ML systems, transform data into insights, prototype new models, and design evaluation pipelines.