Top AI Jobs in London

The Head of Regulatory Affairs will lead global regulatory strategies for Tether Data, focusing on AI and P2P technologies, promoting compliance and advocacy with regulatory bodies.

The AI Product Manager will define product vision and strategy, manage roadmaps, engage with stakeholders, develop go-to-market strategies, and track performance metrics for a cloud services platform focused on AI/ML.

As an AI Filmmaker, you will create and edit videos using AI tools, collaborate with marketing to ensure brand alignment, and manage multiple projects under tight deadlines.

As an AI Inference Engineer, you will optimize C++ systems for AI model inference on edge devices, collaborating with researchers to deploy and enhance models while ensuring runtime stability and performance.

As an AI Research Engineer, you'll enhance model architectures, conduct pre-training on distributed servers with NVIDIA GPUs, and lead innovations in large-scale AI technologies.

As an AI Filmmaker at Tether, you will create and edit videos using AI tools, collaborating with marketing to ensure alignment with brand messaging.

The Social Media Manager will develop strategies to promote QVAC AI, create engaging content, and collaborate with technical teams to optimize social media presence.

The Developer Relations role at Tether focuses on engaging and educating the developer community, creating technical content, and promoting the company's technology through advocacy and community building initiatives.

As a Senior AI Inference Engineer, you'll develop the C++ systems layer for AI models, focusing on runtime quality, model deployment on edge devices, and collaborating with researchers to integrate AI features in products.

Interns will advance video generation and multimodal models, focusing on research, model improvement, and collaboration, with publication opportunities.

As an AI Research Engineer at Tether, you will innovate in AI model architecture development, conduct large-scale model training, and enhance AI performance through advanced techniques and algorithms.

The AI & Optimization Lead will define and execute AI strategies for Bitcoin mining operations, focusing on data architecture, optimization models, and operational efficiency across mining sites.

The role focuses on engaging the developer community to drive adoption of Tether's technology through advocacy, technical content creation, community building, and collaboration with cross-functional teams. Responsibilities also include presenting at events and fostering feedback integration into product development.

The Senior Infrastructure Engineer will architect systems, build agentic tools and automation, manage cloud infrastructure, and enhance observability across services at MUBI, applying strong software engineering principles and DevOps practices.

As an AI Solutions Developer, you will architect AI systems to optimize operations for Too Good To Go, focusing on automation and commercial impacts across 21 countries.

As a Senior AI Solutions Architect, you will design and deploy AI solutions using graph databases and LLMs, collaborating with customers to meet their business needs.

The role involves leading insights into AI strategies for legal departments, providing unique research and guidance, and engaging with top legal executives on technology adoption and governance.

Build and ship AI-powered internal tools rapidly using LLMs, agent frameworks, and embedding pipelines. Integrate models, APIs, and databases into production-ready solutions, own end-to-end deployments, and collaborate with non-technical teams to automate company workflows and free up time across the organization.

Design and implement reliable production AI systems, lead development of natural-language interfaces, and mentor engineers. Collaborate across teams to create scalable AI solutions and instill engineering best practices.

As a Client Success Analyst at Blueflame AI, you will support customers using the platform, manage inquiries, build relationships, provide training, and collaborate with teams to ensure customer satisfaction.

As a Salesforce Engineer, you'll develop and maintain Salesforce solutions, support integrations, improve GTM processes, and ensure data quality across systems.

As an ML Engineer Intern, you will build and deploy ML models, design scalable infrastructure, and collaborate with data science teams in a fast-paced environment.

As an ML Engineer, you'll build and deploy scalable ML systems, optimize models, and collaborate with teams to improve content across platforms.

As an Engineering Intern in the Web3 and AI team, you will write production-grade code, leverage AI, rapidly prototype solutions, and contribute to full-stack development while gaining hands-on experience in a fintech environment.

The AI Engineer role involves developing and deploying AI applications, particularly using NLP and LLMs, collaborating with various teams, and optimizing AI model performance through metrics-driven approaches.