Top AI Jobs in Belfast

As a Staff AI Engineer, you'll design ML production systems, manage data pipelines, ensure data quality, and enhance AI capabilities in a collaborative environment.

The Principal AI Engineer designs and implements advanced AI models, mentors the team, and ensures scalable, secure solutions in a dynamic environment.

As a Staff Backend Engineer, you'll build Python web services, lead technical projects, and mentor engineers while driving AI integration and system performance optimization.

Design and implement large-scale AI/ML systems using LLMs and RAG. Develop data pipelines, optimize models, and collaborate with teams on actionable intelligence solutions.

Lead the development and deployment of transaction monitoring models, manage cross-functional teams, and ensure adherence to governance standards.

The role involves designing and implementing machine learning solutions, managing projects from idea to deployment, and optimizing models using AWS and Docker.

The AI Software Engineer will design and implement AI systems, collaborate with cross-functional teams, deploy end-to-end AI pipelines, and maintain ethical AI practices.

Manage member relationships and assist clients in achieving goals through strategic planning and customized engagement. Provide executive-level guidance and participate in client activities to ensure retention and growth.

As Senior Product Manager for Video-based Safety, you will define, own, and execute the product strategy involving AI/ML models to enhance safety outcomes, collaborating with engineering and design teams.

Define the strategic vision for the Video-Based Safety platform, integrating AI and Computer Vision to enhance safety and efficiency in physical operations. Lead cross-functional teams and mentor product managers while driving innovation in a rapidly growing company.

The Senior Director Analyst will provide insights for CIOs in financial services, focusing on risk strategy, technology trends, and best practices.

The Chief Architect at CME Group leads architectural vision, manages teams, develops tech roadmaps, and ensures alignment between business strategies and technology decisions.

The Director of AI will drive AI strategy across the company, manage R&D efforts, lead adoption of AI workflows, and establish success metrics.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

As a Fullstack Engineer, you will build AI-assisted developer tools in GitLab Duo, working with TypeScript and Kotlin across various platforms, collaborating closely with engineering teams.

The AI Assurance Lead ensures AI and machine learning systems are safe, reliable, and compliant with regulations, oversees risk management, and engages stakeholders.

The role involves designing and implementing security solutions for AI applications, collaborating across teams, and optimizing security capabilities against adversarial attacks.

Lead the development of AI/ML models for systems engineering. Involve in concepting, trials analysis, and mentoring team members.

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.

The Regional Sales Manager will lead a sales team to acquire new corporate clients and expand market share through strategic planning and execution.

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.

As a Software Engineer, AI, you'll train large-language models by comparing, ranking, and refining AI-coded snippets, while providing feedback for reinforcement learning.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.