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.

Lead the model strategy and deployment for Transaction Monitoring ensuring compliance with governance standards and quality in data analytics and model development.

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

The role involves deploying AI solutions at client sites, requiring technical expertise alongside strong problem-solving skills in a collaborative environment.

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.

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.

Join CME Group as a Degree Apprentice to gain practical experience in various technology teams while pursuing a degree, covering programming, databases, and more.

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

The Senior Solutions Consultant - AI Security drives business growth through product demonstrations, manages Proof of Concept projects, maintains customer relationships, channels customer insights, and stays knowledgeable about Zscaler offerings.

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

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

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.

As the AI & Data Ethics Technical Lead, you will enhance Kainos' AI capabilities, develop demos of Responsible AI techniques, and support data & AI trust in customer projects.

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

As a Data/AI Engineer, you'll build scalable data systems, automate data collection with AI tools, and analyze sustainability metrics to inform consumer choices.

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.

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

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

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

As a Software Engineer, you will help train large-language models in code evaluation and training, focusing on Ruby, with an emphasis on code review and improvement.

Responsible for training large-language models by reviewing, ranking, and improving AI-generated code. Requires strong software engineering skills.

Train large-language models to improve code quality by comparing snippets, providing feedback, and refining AI-generated code. Requires strong communication skills and attention to detail.