Top AI Jobs in Belfast

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.

As a Gartner Analyst, you'll advise on AI software innovations, conduct research, support sales, and deliver presentations to clients. You'll lead teams building AI-enabled tools and share actionable insights through various communication channels.

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.

As the Founding Lead AI Engineer, you will design and deploy AI systems, mentor engineers, and lead model architecture and deployment strategies.

As a Founding AI/ML Software Engineer, you'll design and deploy ML models for financial services, contribute to AI systems, and collaborate with cross-functional teams.

As a Founding AI Engineer, you will develop full-stack applications, integrate machine learning models, and collaborate with teams to deliver AI-powered financial services.

As an AI/ML Software Engineer, you'll design, build, and deploy machine learning models, manage ML lifecycle, and collaborate across teams to drive automation and insights for financial services.

Lead AI Engineer responsible for designing production-grade ML models, mentoring team members, and driving AI initiatives within the organization.

As an AI Engineer, you'll build full-stack applications integrating ML models, develop APIs, and design user-friendly interfaces in a collaborative environment focused on impactful solutions.

Build and deploy full-stack applications incorporating ML models, integrating with data scientists and engineering teams, focusing on AI-powered features for financial services.

Applied AI Engineers will define and deliver AI systems for clients, shape AI visions, build products, and advance the core product using real-world data.

The Senior Account Manager will engage AI startups, building partnerships and driving demand for NVIDIA's AI solutions while leading cross-functional teams and developing market strategies.

Drive the expansion of software development and AI services by managing client relationships, building sales pipelines, and negotiating contracts.

Responsible for designing, implementing, and maintaining cloud infrastructure focused on Kubernetes and containerization, while building and leading a team for release management and operations.

As an AI Automation Engineer, you will engage with customers, lead implementation projects, design solutions on the Five9 platform, and provide consultative support. Requires strong technical skills in cloud computing, telephony, and customer engagement technologies.