Top AI Jobs in Bristol

As a Principal AI Engineer, you'll build and evolve AI tutoring systems, run experiments for learning effectiveness, design software, collaborate across teams, and prototype AI interactions.

As a Staff AI Engineer, you will design and implement key components of an AI tutoring system, drive experiments to improve model performance, build reliable production systems, and translate product goals into technical solutions while collaborating closely with non-engineering stakeholders.

The Senior Agentic AI Engineer will develop cutting-edge GenAI solutions, design high-performance AI modules, and ensure system integration while leading cross-functional teams.

Seeking detail-oriented reviewers for AI training projects, evaluating outputs, generating content, and ensuring cultural relevance. Requires strong analytical skills and attention to detail.

The Senior AI Vertical Mini-Series Director will oversee the production of short drama series using AI tools, directing episodes and collaborating with content creators and tech teams.

The Head of AI & Data Science will lead strategic AI initiatives, architecture, and R&D, partnering with C-suite executives and influencing engineering standards to enhance data technologies in finance.

The Curriculum Manager will oversee the content development lifecycle, recruit instructors, design curriculum, assess course performance, and improve data science and engineering content.

The Senior Data & AI Solution Architect will design scalable solutions, engage with clients, oversee implementations, and innovate in the Data & AI field.

As an AI Product Engineer, you will architect AI solutions, leverage Google Cloud for data management, create data visualizations, and automate workflows to enhance employee experiences.

The Ecosystem Growth Manager will drive the onboarding of GPU providers, AI builders, and strategic enterprise partnerships to enhance the AIVM ecosystem, addressing Web3 challenges and establishing a decentralized infrastructure.

Lead technical discovery and implementation of AI/LLM-powered agents for enterprise procurement workflows. Design agent architectures, build and tune prompts, create integrations with ERPs/CLMs via middleware/iPaaS, drive deployments, enable customers, and feed product insights.

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.

Design and deploy AI-powered HR solutions, integrating and automating HR workflows. Ensure compliance, governance, and drive adoption of tools among HR team members.

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 an AI Engineer, you will design and implement the Auto-Moderation Service and AI features, working with Full Stack Developers to integrate intelligent systems into the platform.

The role involves researching and developing GPU acceleration techniques for deep learning and other AI workloads, working with experts and optimizing complex AI algorithms, and influencing hardware design at NVIDIA.

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

The role involves leading AI infrastructure research, providing strategic guidance to clients, developing insights, and mentoring junior analysts while addressing complex AI-related challenges in enterprise computing.

The AI Implementation Manager leads the delivery of AI solutions from design to rollout, ensuring alignment with architecture, overseeing technical aspects, collaborating with various teams, and maintaining delivery progress under pressure.

The role involves architecting AI solutions for compliance, ensuring regulatory adherence, automating processes, and enhancing team capabilities through technology and training.

Design, build, and optimize high-performance AI infrastructure systems to support intelligent agents, ensuring reliability and scalability for millions of users.

The Senior Fullstack Engineer will develop fullstack features for Midnite's internal platform, collaborate on AI improvements, and mentor junior engineers.

The Lead Backend Engineer will design scalable backend systems, mentor engineers, integrate AI, and define architecture for Midnite's back office platform.

The Senior Azure AI Consultant delivers advisory services for AI capabilities, focusing on Microsoft AI platforms. Responsibilities include leading engagements, designing solutions, and acting as a trusted advisor to clients.

Design and fine-tune large-scale Vision-Language Models for tasks involving visual reasoning and 3D understanding, while collaborating on model adaptation and publishing research.