Top AI Jobs in London

The Applied AI Engineer will work on customer projects, integrating AI models into products, and developing full-stack applications to meet evolving client needs.

The role involves optimizing deep learning models for edge AI platforms through quantization techniques and model compression, collaborating with engineers, and staying updated on AI advancements.

Develop and optimize AI compiler solutions for machine learning workloads, collaborating with hardware architects to enhance performance and deployment.

The AI Runtime Engineer will develop and optimize the execution stack for AI accelerators, focusing on efficient deep learning model execution and collaboration with hardware and AI framework teams.

As an AI Engineer, you will design and implement applications using Generative AI, contribute to open source, and collaborate with clients. You will enhance AI technology utilization and share insights through blogs and conferences.

The role involves training AI language models by evaluating code, crafting computer science questions, and providing coding expertise in Polish.

As a Software Engineer for AI Training, you will create technical questions, review AI-generated code, and provide feedback on code quality and debugging strategies.

The AI Systems Engineer will develop APIs for AI inference, improve reliability, address bottlenecks, and optimize LLM implementations.

The AI Research Scientist at Autodesk will conduct advanced research, develop ML models, lead projects, and leverage data sources in AI/ML.

Lead engineering delivery for AI dubbing and Localization projects, scale teams, monitor performance, and foster collaboration. Engage with stakeholders to manage project timelines and resolve conflicts.

Lead technical strategy and delivery for the Government & Public Services unit, managing teams, overseeing complex projects, and driving business development in AI solutions.

The Lead Software Engineer will integrate LLMs, maintain ML applications, and develop AWS infrastructure for AI-driven financial solutions, mentoring team members and collaborating with engineers.

The role involves optimizing data infrastructure for hybrid-LLM systems, GPU optimization, and algorithm improvement in a hands-on programming capacity.

Lead AI solution design and deployment, focusing on Generative and Conversational AI to enhance business operations and adopt AI across the organization.

The JavaScript Developer will create training data for AI models, evaluate AI-generated code, and develop functional web applications using JavaScript and React.

Develop autonomous AI agents, build scalable backend platforms, and collaborate with teams to streamline insurance processes and improve customer experiences.

Join Redis as a Principal Software Engineer to design and implement advanced algorithms for vector search, optimizing performance at scale.