Top AI Engineer Jobs in London

The role focuses on improving AI cluster resiliency through AIOps solutions, automation workflows, and customer engagement for installations and troubleshooting.

The Staff Software Engineer will develop AI tools for game integration, optimize C++ code, and implement CI/CD and automated testing processes.

You will develop AI-powered features for Mural, collaborating with product and design teams to enhance user experiences and drive AI innovation.

Provide technical support for AI inference issues, troubleshoot deployment problems, analyze logs/metrics, and enhance platform usability by collaborating with engineering.

As a Staff Agentic AI Engineer, you'll develop advanced AI agents for cybersecurity, lead engineering teams, and enhance AI capabilities across the organization.

The software engineer will develop AI tools for sustainability reporting, collaborating on product strategy and ensuring code quality while leveraging LLMs.

The Sales Engineer will bridge HockeyStack's AI platform and customer business solutions, focusing on demo engineering, sandbox POCs, and applying the MEDDICC framework for effective sales strategies.

As an AI/ML Engineer, you'll develop AI solutions, conduct data analyses, build production-grade systems, and integrate advanced recommendation engines.

The role oversees NVIDIA's developer relations focusing on AI and deep learning, fostering engineering partnerships, and strategic community building.

The role involves optimizing and deploying deep learning models, focusing on Diffusion and Vision-Language Models, on NVIDIA GPU platforms.

Design, build, and scale intelligent systems using AI/ML across various domains including LLMs, Computer Vision and Speech AI, integrating these into business workflows.

The Deep Learning/AI Engineer will develop AI systems for cybersecurity, implement deep learning algorithms, and enhance threat detection capabilities.

The role involves fine-tuning models, designing architectures, building evaluation pipelines, and collaborating on AI product features for a global audience.

The AI & ML Engineer will oversee the entire AI/ML lifecycle, collaborating with stakeholders to develop and implement scalable, efficient solutions while ensuring the security and robustness of ML systems.

As a Senior AI/ML Software Engineer at BJAK, you will help design and implement machine learning systems that enhance user experience and improve financial services. Your responsibilities include defining ML goals, managing the ML lifecycle, and integrating outputs into products.

The Senior Developer Relations Manager will engage developer ecosystems, drive adoption of NVIDIA technologies, and collaborate across functions to enhance developer programs and solutions.

Design and deliver structured AI-powered documentation, implementing standards and workflows while partnering with teams for knowledge capture.

The Lead AI & ML Engineer will lead the AI & ML Engineering team, managing solutions from ideation to deployment, mentoring team members, and ensuring robust, scalable AI/ML delivery across Charlotte Tilbury.

The Principal Software Engineer leads the AI Workbench product team, responsible for developing simulation software solutions. The role demands collaboration, technical leadership, and participation in recruiting software engineers.

Build, scale, and maintain AI-powered solutions within Miro's platform, ensuring operational excellence and integration across teams while focusing on user experience and engineering best practices.

Join the QRT Crypto desk to enhance trading strategies using AI and ML techniques, focusing on automation and data-driven decision-making.

Manage a team to develop AI solutions for Chip Design, leveraging machine learning models and infrastructure, while collaborating with hardware engineers.

The Senior DevOps Engineer will design, implement, and optimize ML/AI pipelines using Azure Databricks, ensuring AI models are production-ready and scalable.

As an AI Product & Research Engineer, you will create AI prototypes, optimize prompts for APIs, implement MLOps, and collaborate with cross-functional teams.

Lead the integration of AI in software development, mentor teams on advanced engineering practices, and drive innovative AI-assisted methodologies within projects.