Top AI Jobs in Bristol

Lead product development in the industrial sector focusing on IoT, edge computing, and AI applications. Oversee product lifecycle, conduct market research, and collaborate with cross-functional teams.

The Tech Lead will architect and implement AI systems, oversee model integration and ensure compliance with security standards while collaborating with teams on scalable solutions.

The AI Mentor will guide learners in the L5 AI Leader Apprenticeship, supporting their progress, project implementation, and assessments while fostering innovation and productivity in their organizations.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

As an AI/ML Specialist Solutions Architect, you will design scalable AI solutions, manage AI deployments, and collaborate with clients to enhance customer satisfaction.

As a Senior Site Reliability Engineer, you will enhance the reliability and performance of our inference platform, leveraging Kubernetes and Terraform while ensuring smooth scalability of systems under load.

Lead design for AI-powered products, focusing on intuitive workflows and multi-agent interactions. Collaborate with teams to create experiences and improve quality through data analysis.

Lead development of a scalable AI tutoring system: build prompt architectures and agentic workflows, run experiments and custom evaluations, integrate models into production, ensure safety and observability, prototype novel model interactions, and collaborate with educators and product teams to translate pedagogical goals into robust technical solutions.

Lead development of a real-time, adaptive AI tutoring system: design prompt architectures and agent workflows, build scalable production integrations, run rigorous experiments and custom evaluations, ensure safety and observability, and collaborate with educators and product teams to prototype and productionize novel model interactions.

Design, build, and productionize the core AI tutoring system: prompt architectures, agentic workflows, evaluation frameworks, and scalable integrations. Run experiments, ensure safety and observability, and collaborate with product and education teams to improve learning outcomes.

Serve as strategic advisor to enterprise customers, qualify AI transformation opportunities, lead executive workshops, design use cases on Kore.ai, and build ROI-backed business cases to drive AI adoption and automation roadmaps.

The AI Director will oversee ML bot development and implementation, identify AI opportunities, educate teams, and prototype AI solutions.