Top AI Jobs in London

The Video Marketer will produce engaging marketing videos for AIPRM software while enhancing existing materials. They will monitor AI market trends and maintain quality across all content. Responsibilities include creating videos for platforms like YouTube and TikTok.

The Solutions Architect will design and implement cloud architecture solutions focusing on Ubitus, Tencent Cloud, and AWS. Responsibilities include cloud services integration, providing technical leadership, collaborating with customers on AI requirements, and maintaining technical documentation. The role also involves customer engagement through workshops and training, alongside travel for support and industry events.

The Golang Engineer will contribute to the development of AI and ML products, focusing on decentralized GPU computing. Responsibilities include back-end development, designing complex systems, and ensuring high-load system performance, while collaborating in a fast-paced, innovative environment.

As Lead AI Researcher at Superside, you will conduct advanced deep learning research, innovate within image and video generation models, and engineer machine learning solutions for ad analysis, collaborating with cross-functional teams to enhance AI capabilities in the SuperAds platform.

As an Applied AI Product Engineer, you will create and implement bespoke LLM solutions for enterprises, working with sales and engineering teams to align AI capabilities with customer needs, and serve as a technical advisor to ensure successful integration and adoption.

As a Software Engineer focused on AI and Machine Learning at Dataiku, you'll develop and enhance features for predictive algorithms using various technologies. Your work will involve turning specifications into features, addressing performance and usability issues, mentoring junior developers, and collaborating with the AI Lab on advanced projects.

As a Software Engineer focused on Data, AI/ML, and Analytics at Canonical, you will collaborate on developing end-to-end data analytics and machine learning solutions. Your responsibilities include designing and maintaining solutions for both public/private clouds, working with open-source tools, and engaging with a distributed team.

As a Presales AI/ML Engineer at Neptune, you'll be presenting the product capabilities to AI research and ML teams globally, crafting compelling narratives to accelerate their work and help them achieve AI breakthroughs.