Top AI Engineer Jobs in London

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.

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 develop and optimize vision-language models, managing the full model lifecycle from training to deployment, focusing on efficiency and innovation in multimodal architectures.

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.

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

Develop computer vision models for object recognition and video understanding while evaluating and improving their performance for real-world applications.

The Senior Full-Stack Engineer will build tools for the Physical AI data stack, maintaining high-performance frontend experiences and managing backend data systems, while taking initiative in a collaborative team environment.

As a software engineer in generative AI, you will design, develop, and optimize scalable applications and APIs, collaborating with various teams to deliver innovative AI solutions.

As a Senior Software Engineer, you will design and build secure generative AI services, optimize APIs and microservices, and ensure scalable architecture for enterprise environments.

Lead the design and orchestration of an automated marketing engine, leveraging AI and optimizing marketing operations, tool integration, and campaign management in a B2B SaaS context.

The Principal Software Engineer will architect AI-enabled platforms, mentor senior engineers, and lead cross-team architectural discussions, with a focus on secure, scalable solutions on AWS.

The Senior Machine Learning Engineer will design evaluation frameworks, diagnose model performance, develop ML systems, and mentor junior engineers while collaborating across teams.

As a Founding Product Engineer at Nexcade AI, you will develop AI-driven automation solutions, build full-stack features, and collaborate directly with customers to address their operational needs.

The AI Deployment Engineer partners with customers to integrate OpenAI's coding tools into their development workflows, focusing on prototyping and scalable solutions while providing technical guidance and training.

As an AI Research Engineer, design and optimize model deployment and inference strategies for AI systems, aiming for high throughput and low latency in diverse environments.

As a Senior AI Engineer, you will architect workflows for AI agents, develop ML/NLP products, and mentor engineers in crafting intelligent recruiting systems.

The AI Developer will design, implement, and deploy AI agents and workflows, integrating advanced models and ensuring reliable performance in production environments.

The AI Research Engineer will research and develop novel model architectures, adapt open-source models, and contribute to the technical strategy and culture of the team.

The role requires working closely with customers to design AI-powered solutions, translating business problems into technical plans, and leading solution implementation.

The role involves developing new AI model architectures and adapting existing models, conducting experiments, and contributing to technical strategy in a high-growth research environment.

The AI Solution Engineer will design and implement AI-powered solutions for customers, translating business issues into technical solutions, and collaborating with stakeholders to ensure success.

The role involves training large language models to write production-grade code, comparing snippets, refactoring code, and providing feedback for reinforcement learning processes.

The role involves training large language models to write production-grade code using Java, performing code reviews, refactoring, and providing detailed explanations for coding decisions.

Train large language models to write production-grade code across languages, review and improve AI-generated code, and maintain the RLHF feedback pipeline.