Top AI Jobs in Bristol

Create and edit short-form vertical videos for social media using AI tools, ensuring quality, character consistency, and appropriate syncing of audio elements.

The Senior Director will drive AI marketing strategy, guide marketing leaders, produce research, deliver advisory services, and establish credibility as an industry expert.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

The role involves engineering, testing, and the development of advanced frontend components for an AI-driven cybersecurity product, integrating AI features and ensuring best practices are followed.

The Fullstack Engineer will focus on product software engineering, agents framework engineering, and R&D in AI and cybersecurity. Responsibilities include hands-on engineering, testing, and integrating AI Agents into existing systems.

As a Curriculum Manager, you will manage the content development lifecycle, collaborate with instructors, and improve data science curriculum, ensuring technical accuracy and pedagogical effectiveness.

The role involves analyzing large datasets to derive insights for business strategy, building AI solutions, and communicating findings to the CEO.

The Senior AI Product Manager will lead the development of AI products, working closely with leadership and teams to innovate and execute AI initiatives. Responsibilities include building AI-driven features, conducting experiments, and mentoring teams on AI integration.

The Head of Technology oversees the technical direction of AI Business Solutions at Kainos, focusing on Dynamics 365, Power Platform, and AI capabilities while mentoring architects and engineers, supporting customer engagements, and ensuring alignment with Microsoft's roadmap.

As a Lead AI Engineer, you'll bridge data science and software engineering, focusing on productionizing AI solutions, optimizing performance, and ensuring the reliability of AI features within Workday products.

As an AI Engineer, you will develop and optimize Large Language Model services, focusing on risk processing in commercial insurance, collaborating across teams, and enhancing evaluation and deployment strategies.

This role involves mentoring apprentices in AI technologies, providing assessments, support in project development, and fostering learner relationships.

Lead AI-enabled engineering initiative, designing multi-agent systems for software development, integrating AI tools, and collaborating across teams to innovate workflows.

The Staff Software Engineer will develop AI tools integrated with game engines and services, focusing on C++ and automation for game development.

Lead company-wide AI and automation adoption: run internal programs (hackathons, enablement, dogfooding), conduct AI market watch, produce guidance and content, evangelize successes, and manage and scale the Automation team while overseeing cross-functional delivery and OKRs.

As the AI Agents Solutions Architect at Kraken, you'll design and build an AI-native finance operating system, automating finance operations and ensuring compliance in a regulated environment.

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.

Responsible for building and evolving an AI tutoring system, running experiments, collaborating with teams, and ensuring quality in model behaviors.

As a Staff AI Engineer, you will design and implement AI tutoring systems, drive experiments, build production-grade systems, and enhance user learning experiences through AI technologies.

As a Staff AI Engineer, you will design and implement components of an AI tutoring system, drive experiments, and build scalable systems while collaborating with product and design teams to enhance learning outcomes.

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.

The Staff AI Engineer will design and implement components for an AI tutoring system, drive experiments, build scalable systems, and collaborate closely with product teams to enhance learning experiences.

The Principal AI Engineer will build and improve the core AI tutoring system, design evaluation methods, and collaborate on pedagogical goals, driving innovation in learner experiences.

Design and implement key components of an AI tutoring system, integrating LLM capabilities, driving experiments, and ensuring system quality and user experience.

Build and evolve an AI tutoring system, run evaluations, design software, collaborate with teams, and ensure quality through testing and refinement.