Top AI Jobs in Bristol

Design, build and optimise Python-based AI applications and data storage solutions. Collaborate with clients and teams, enforce code quality, CI/CD, testing practices, and deliver scalable production systems across cloud environments while travelling to client sites.

Manage the entire sales process for NiCE AI solutions, drive sales opportunities, develop relationships with executives, and contribute to pipeline generation activities.

Lead and manage the AI & Data Science function, set technical strategy, deliver AI solutions, collaborate across teams, and communicate impact to stakeholders.

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.

As an AI/ML Engineer, you will design and develop AI-powered applications, integrate AI features into BPM systems, and collaborate with teams to improve operational efficiency through innovative AI solutions.

Create AI-driven video ads for TikTok campaigns by using tools like Runway and Pika, editing for performance, and experimenting with formats.

Lead the development of AI-native features, collaborating with teams to create innovative solutions, while maintaining focus on user needs and market trends.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

The Research Manager will lead AI-powered insight projects, manage client relationships, oversee team execution, and innovate using AI tools to improve insights delivery.

Serve as a subject-matter expert advising CFOs and controllers on transforming controllership, AP/AR and financial close using AI and automation; produce research, vendor guidance, and present insights to global clients.

The Technical Consultant will lead customer engagements with Microsoft Copilot, providing solutions for AI adoption, and ensuring successful project delivery.

The AI Business Development Manager will engage with clients, identify sales opportunities, manage client relationships, and convey complex AI standards and services effectively.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

The Lead Product Marketing Engineer will drive awareness and engagement for DataRobot's Agentic AI platform, crafting narratives, creating content, and managing partnerships to inspire C-level executives and technical audiences.

The Growth Marketing Manager will lead marketing initiatives, optimize the funnel, use AI tools for performance, and collaborate across teams to drive growth for Mindvalley’s Innovation Team.

As a Senior AI Research Scientist, you will lead AI research in LLM, MLLM, and computer vision, developing models and algorithms for real-world applications, while mentoring junior scientists and contributing to publications.

The AI Specialist will drive AI/ML sales, design solutions, provide technical guidance, and collaborate across teams to address customer needs effectively.

Lead the product team at Zego, driving strategic direction and AI integration, managing cross-functional programmes, and mentoring PMs to enhance product impact.

The role involves developing sophisticated LLM-powered autonomous agents, integrating intelligent services, and ensuring systems' scalability and reliability. Responsibilities include architecting AI modules, leading agile sprints, and monitoring production lifecycle with CI/CD roles.

Lead technical initiatives for Generative AI in logistics, design architecture, implement evaluation pipelines, and mentor engineers.

As an AI Engineer, you'll design AI tools for authors, enhance internal workflows, and build tools for AI development, collaborating with teams to identify AI opportunities.

The AI Automation Engineer will design and deploy intelligent systems to automate business processes, improve operational efficiency, and integrate various APIs. Responsibilities include analyzing workflows, building AI-powered solutions, and ensuring reliability through systematic approaches.

The AI Strategist will lead enterprise accounts, shape AI strategies, engage with C-level executives, and drive AI adoption and transformation by collaborating with cross-functional teams.

Lead an agile delivery team in all aspects of the data and analytics lifecycle, designing scalable data platforms and solutions and influencing project success.

The role involves developing a communications strategy for Nokia's Technology and AI organization, working closely with senior executives to craft compelling narratives and ensure integration of messaging across various communications channels.