Top AI Engineer Jobs in London

As an AI Data Scientist, you will design and deploy AI tools for market research, analyze data, and collaborate across teams, utilizing machine learning and data processing techniques.

The role involves leading AI integration in customer experience, building AI tools, automating workflows, and fostering AI literacy across teams.

Samsara seeks a Staff Software Engineer to lead technical design and architecture on the Fleet Safety team, improving driver safety through software for enterprise fleets. Responsibilities include developing applications, designing systems for event tracking, and addressing production issues.

The Sr/Staff AI Engineer will advocate for Ray by building AI systems, creating demos, and sharing knowledge through various technical content, engaging with the ML community, and shaping product feedback.

As an AI Engineer at Lloyd's, you will integrate AI solutions, operationalise ML models, maintain data governance, and drive innovation in AI and data analytics.

Lead the design and development of AI solutions for clients, implementing language models and frameworks, mentoring engineers, and evolving internal AI platforms.

The Principal AI Engineer will define AI architecture, lead teams, develop solutions, and mentor engineers to enhance enterprise AI systems.

Build and deploy AI systems for investment insights, focusing on ML and LLM-driven solutions, while ensuring high-quality data flow and outcomes.

This role involves developing AI-driven solutions for visual content, supporting image/video generation, model training, and workflow collaboration in CGI.

Design and implement large-scale AI/ML systems using LLMs and RAG. Develop data pipelines, optimize models, and collaborate with teams on actionable intelligence solutions.

As an AI Software Engineer, you'll design, develop, and deploy scalable AI systems, collaborating across teams to enhance product features using cutting-edge technologies in cloud-native environments.

Applied AI Engineers will define and deliver AI systems for clients, shape AI visions, build products, and advance the core product using real-world data.

The Principal AI Software Engineer will design retrieval systems, optimize production, and work directly with customers to implement AI solutions for legal documents.

As a Senior AI Engineer, you'll build and scale AI solutions using LLMs, design data pipelines, implement MLOps practices, and ensure ethical AI development.

Develop production-grade AI agents for enterprise customers. Design and build LLM-powered systems, integrating workflows, evaluation, and performance standards. Collaborate closely with customers and teams to ensure reliability and effectiveness in real-world applications.

As an AI Engineer, you'll develop LLM-based user-centric products, creating frameworks, optimizing systems, and collaborating with cross-functional teams in a startup environment.

The Senior Applied AI Engineer will develop scalable AI features, improve application reliability in production, and collaborate with teams for deployment of AI-driven services.

Design and implement AI features using prompt engineering and LLMs, assess LLM systems, and integrate models into production with a TypeScript backend.

The Senior AI Engineer will design, build, and deploy AI-driven solutions, collaborating with teams to enhance products using Generative AI technologies.

Design, build, and operate low-latency multi-agent LLM systems. Ensure high-quality real-time communication and optimize prompt programming and retrieval processes.

The Staff AI Engineer will build AI agents, design ML models, engineer data pipelines, and enhance automation in financial workflows.

As an AI Engineer, you'll enhance IT platforms by building secure AI orchestration systems, designing autonomous agents, and fostering AI fluency within the organization.

The AI Engineer - FDE role involves developing and deploying GenAI applications, collaborating with cross-functional teams, and advising customers while presenting thought leadership in the field.

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.

The Principal AI Engineer will develop and implement AI solutions, manage CI/CD pipelines, ensure model reliability, and monitor system performance.