Top AI Jobs in Bristol

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.

The AI Technical Architect will lead the development of AI strategies and frameworks, implementing cloud solutions, supporting clients, and managing projects while driving innovation in AI applications.

Design scalable software systems for distributed AI training, enhance communication libraries, and collaborate on hardware features for improved data movement.

As a Senior Backend Engineer, you will optimize product flows, construct resilient systems, and be pivotal in backend development and AI model deployment.

Lead the development and scaling of technology-enabled Safety/Pharmacovigilance solutions, manage cross-functional teams, and drive innovation with customers and partners.

As a Senior Director, you'll lead AI platforms research, provide insights to clients, present at events, and collaborate across teams.

As an AI Email Marketing Specialist, you will execute and automate email campaigns, manage segmentation and A/B testing, and implement AI tools for marketing efficiency.

Lead AI strategy and execution at Pigment, mentor a team in AI and data science, and drive AI integration across the organization.

As a Lead AI Engineer, you will design and deliver AI solutions using machine learning and cloud technologies, mentor a team, and ensure responsible AI practices.

Lead architecture and execution for data platforms and LLM products, focusing on scalable solutions and team collaboration to drive outcomes.

As an AI & Automation Engineer, you'll design and optimize automation workflows, integrate systems, and develop AI tools to enhance operational efficiency.

Lead the development of large language models for marketing technologies, optimize AI solutions, and mentor junior team members to drive innovation and quality.

The Senior AI/ML Technology Advisor will provide expert guidance on AI technologies, lead research projects, evaluate AI systems, and communicate findings to diverse stakeholders, ensuring alignment with online safety objectives.

Lead the LLM team at EverAI, managing architecture, training, deployment of AI models, and ensuring user experience through effective moderation and alignment strategies.

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.

WunderGraph seeks a Staff FullStack AI Engineer to lead architecture for AI-driven projects, mentoring engineers and ensuring scalable, secure systems. Responsibilities include backend and frontend development with a focus on AI workflows and enterprise readiness.

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

The Machine Learning Engineer will architect and develop an AI platform for scientific workflows, integrating autonomous agents, and collaborating with cross-functional teams on ML/AI systems.

Lead the design and sales of generative AI and data modernization solutions, engage C-level stakeholders, and drive customer lifecycles.

Join Wiz's Data Protection team to enhance their privacy, data protection and AI compliance program, focusing on risk management and governance.

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

The AI Presales Specialist will lead technical sales efforts, demonstrate AI capabilities, architect solutions, and engage with customers to drive AI sales opportunities.

Lead a team of researchers to develop advanced AI systems, focusing on multimodal models and engaging user experiences. Responsibilities include mentoring, driving research direction, and collaborating with engineering to deploy innovative features.

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