Top AI Jobs in Bristol

Join the Models Audit team to conduct risk-based audits, evaluate model risk management, and provide assurance on control effectiveness.

The Senior Cloud Infrastructure Engineer will design and manage cloud infrastructure, ensuring security, reliability, and scalability while collaborating with engineering teams.

As a Senior AI Engineer, you'll design scalable AI/ML solutions, deploy models into production, and mentor team members while driving innovation.

Lead the delivery of AI and ML solutions, oversee project lifecycles, ensure ethical compliance, mentor junior staff, and maintain knowledge of emerging tools.

The role involves designing and developing custom integrations in Microsoft Dynamics 365 Business Central, focusing on AI enhancements, collaborating with teams, and maintaining quality standards.

The Manager will drive group-wide change by creating frameworks, managing strategic projects, and improving workflows using AI. Responsibilities include playbook development, process mapping, and stakeholder collaboration to enhance productivity and adoption of new practices.

The role involves bridging AI research with design by evaluating models, prototyping solutions, curating datasets, and collaborating across teams to enhance design workflows.

The Principal Product Manager leads product lifecycle management for brand safety solutions using ML/AI, ensuring effective collaboration and communication across teams.

Deliver compelling presentations and host discussions on emerging AI topics, engaging with senior leaders to translate AI concepts into strategic insights.

The role involves reliability and performance testing in AI/ML, requiring candidates to create ML workloads, build CI/CD, and design tests while collaborating with software teams.

As a Data & AI Consultant, you will strategize and implement Data & AI solutions to enhance business value, advising clients on governance and capabilities.

The Graduate Machine Learning Engineer will develop and optimize AI models, collaborate with teams, and conduct experiments to advance AI technology.

The AI Developer Technology Engineer will develop advanced techniques in machine learning and optimize performance on GPU architectures, while collaborating with architects and customers.

The Senior Solutions Architect will work on deploying and optimizing AI workloads on GPU clusters, troubleshoot performance issues, and assist customers with advanced AI training solutions.

Conduct research in natural language processing while developing advanced semantic systems. Collaborate on projects optimized for AI and embedding mechanisms.

Lead the architecture of the Wayve Portal platform, ensuring scalability and compliance while collaborating with external teams to deliver robust solutions.

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.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

The Senior Account Manager will engage AI startups, building partnerships and driving demand for NVIDIA's AI solutions while leading cross-functional teams and developing market strategies.

The AI Solutions Director at Nearform leads AI solution development, strategic partnerships, and pre-sales engagements, leveraging deep AI expertise to drive measurable business impact for enterprise clients.

As a Gartner Analyst, you'll advise on AI software innovations, conduct research, support sales, and deliver presentations to clients. You'll lead teams building AI-enabled tools and share actionable insights through various communication channels.

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.