Top AI Jobs in London

Support AI adoption and experimentation across the business: build and test simple models, prototype AI tools and workflows, run PoCs, evaluate emerging generative AI platforms, track Copilot rollout and adoption, and collaborate with stakeholders to scale successful experiments into business solutions.

Join as a Technical Co-Founder to lead technical architecture and build data pipelines and AI tools for asset managers in the UK and EU.

The role involves building AI connectors, developing automation platforms, and collaborating to enhance workflows using AI in a fintech environment.

The Senior AI Product Manager will lead cross-functional teams to define, develop, and manage B2B SaaS products, focusing on customer value and market needs, while utilizing Agile methodologies and Generative AI technologies.

Lead customer success initiatives by managing client relationships, driving user adoption and satisfaction, and influencing product development based on customer feedback.

The role involves owning end-to-end automation delivery in a hedge fund, focusing on RPA and AI integration using UiPath in legal and compliance environments.

The Senior Software Engineer will enhance software development using AI tools throughout the lifecycle, ensuring quality and maintainability while managing a complex codebase.

Lead the development of AI-driven optimization capabilities in logistics, engaging with customers, prototyping ideas, and ensuring high-quality delivery of AI systems.

Lead AI transformation for Fortune 100 clients, managing customer portfolios, guiding C-suite strategy, and ensuring ROI from AI adoption.

The AI Data Engineer will design and implement the entire data lifecycle for autonomous AI agents, focusing on video ingestion, processing, and system architecture.

Lead the delivery of AI-driven analytics solutions within the Partnerships domain using Microsoft Fabric, focusing on execution and change management. Facilitate end-to-end delivery of AI use cases and enhance analytics capabilities across the EU business.

The Customer Solutions Director leads operational delivery and talent management for the EMEA team, overseeing quantum optimization projects and ensuring customer success through strategic guidance and team leadership.

As an AI Engineer, you will develop and maintain AI platforms and SDKs, deliver workflows for research, define best practices, and embed in business teams to explore new AI opportunities.

As a Senior AI Engineer, you will design and build AI/ML systems, operate data pipelines, and prototype new AI solutions, collaborating across teams and ensuring robust infrastructure.

The Senior AI Engineer will design, develop, and scale AI-driven solutions, focusing on LLMs and generative AI, ensuring quality and ethical standards while optimizing workflows and data pipelines.

The AI Portfolio Lead will develop AI product offerings, analyze market trends, manage curriculum, and ensure high-quality learning experiences while influencing policies and stakeholder engagement.

Drive innovation in post-training methodologies for AI models, focusing on agentic behaviors, tool use, and enhancing model capabilities for real-world applications.

As an AI Research Engineer, you'll optimize model deployment and inference architectures for AI systems, enhancing performance across various applications, especially on resource-constrained devices. Responsibilities include designing efficient serving architectures, conducting inference tests, and collaborating with teams to integrate solutions.

Join Tether as an AI Research Engineer focusing on model compression and quantization for AI systems. You'll innovate in reducing model footprint for multimodal architectures while applying advanced compression techniques, ensuring high performance on edge devices.

As an AI Research Engineer, you will develop multi-modal reinforcement learning systems, focusing on optimization across data modalities, conducting research on algorithms, and building infrastructure for scalable training and evaluation.

As an AI Research Engineer, you will optimize model serving and inference architectures, focusing on high-performance, resource-efficient solutions for AI systems across various deployment environments.

As an AI Research Engineer, you will develop and optimize vision-language models, managing the full model lifecycle from training to deployment, focusing on efficiency and innovation in multimodal architectures.

As an AI Operations Specialist, you'll integrate AI tools into business processes, focusing on automation, training, and adoption. You'll work closely with Operations to identify and implement impactful solutions and document best practices.

Join Lendable as a Senior AI Engineer to build AI systems, improve developer experience, and deliver impactful solutions using machine learning and AI tooling.

The VP of Product Management for Agentic AI will define Neo4j's product strategy, lead a team of product managers, and drive product lifecycle while collaborating across teams to enhance AI capabilities using graph technology.