Top AI Jobs in London

As a Research Scientist at Graphcore, you will advance AI research by designing experiments and collaborating with engineers on AI hardware developments while addressing embodied AI challenges.

The Technical Lead will oversee the design, development, and implementation of AI-driven projects, collaborating across teams and managing technical strategy while being client-facing.

The Senior Solutions Architect & Customer Advisor will lead technical engagements, design cloud architectures, and provide strategic consulting to enterprise clients, particularly in Hybrid Cloud and AI.

As a Senior AI Engineer at Docker, you'll enhance the Ask Gordon AI assistant, improve RAG systems, and develop evaluation frameworks while collaborating with teams to optimize AI capabilities for developers.

The Growth Marketing Manager will lead marketing initiatives, optimize the funnel, use AI tools for performance, and collaborate across teams to drive growth for Mindvalley’s Innovation Team.

Lead the development of AI-driven solutions, architect scalable AI products, mentor junior engineers, and integrate AI across the organization.

The Staff Product Engineer will build AI-powered products, collaborate with ML scientists, contribute to software development phases, and mentor other engineers.

The AI-Enablement Principal will lead the AI transformation at Create Future, embedding AI development practices, mentoring teams, and driving strategic changes in software engineering.

Lead the development and optimization of AI and machine learning models, mentor junior engineers, and enhance AI-driven features for the platform.

The Senior .NET Developer will design architecture for high-loaded applications, develop functionalities, implement components and services, and ensure quality control.

Join Welo Data's global contributor network for flexible remote projects involving AI data annotation, evaluation, and prompt creation.

As an AI Research Engineer, you'll design and implement systems coordinating large language models with real-world tasks, creating novel prompting strategies and production-ready systems in TypeScript while collaborating with various teams.

The internship involves research and development in AI and NLP, focusing on semantic systems, embedding-based retrieval, and collaboration on publishable research.

The role involves building AI search agents, creating RAG pipelines, optimizing vector search technologies, and automating evaluation processes.

The Senior Product Manager will lead AI product strategy at CoinMarketCap, focusing on user needs and data analysis to drive product development.

As a Senior Product Designer, you will enhance user experience for AI products, collaborating with cross-functional teams and conducting user research to inform design decisions.

The Solutions Architect guides sales teams by understanding customer needs, leading technical discussions, and demonstrating product capabilities, focusing on security and observability solutions.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

As an AI IVA/BOT Architect, you will lead AI self-service solutions for contact centers, working with clients to design, implement, and test applications using Google CCAI.

Design and develop AI-powered conversational solutions, guide user experience design using AI, manage multiple projects, and optimize performance through data analysis.

As a Senior Technical Product Manager, you will define the product strategy and oversee the lifecycle of LLMs, facilitating collaboration, optimizing deployment, and ensuring impactful metrics are tracked for continuous improvement.

The AI Research Scientist will conduct research to develop new ML models, lead projects, and explore data sources while collaborating with a global team.

As a Senior AI Engineer, you will develop AI-powered features, integrating LLM APIs to enhance user workflows while collaborating with teams to ensure reliability and scalability.

The AI Engineer will design and implement AI systems focused on Generative and Agentic AI, utilizing LLMs and various automation frameworks for seamless integration and deployment.

The AI Services Consultant ensures successful customer onboarding for Zendesk products by managing project delivery, guiding solution design, and optimizing customer experiences through automation and AI integrations.