Top AI Jobs in Belfast

The AI Data Engineer will develop scalable data ingestion pipelines and optimize distributed architectures for generative video models using high-quality data.

As a Software Engineer (AI), you'll develop applications that utilize machine learning, particularly integrating large language models, while collaborating with backend and ML teams.

Lead the design and scaling of data pipelines for generative video models, ensuring data quality and efficient processing. Oversee a team of data engineers and collaborate with various stakeholders.

Lead development of AI-powered applications, integrate with tools, optimize workflows, and enhance DevOps practices in a fast-paced environment.

Develop and implement AI/ML models to solve business problems, ensuring production deployment, reliability, and data analysis. Collaborate with teams and manage project blockers.

The AI Runtime Engineer will develop and optimize the execution stack for AI accelerators, focusing on efficient deep learning model execution and collaboration with hardware and AI framework teams.

The role involves optimizing deep learning models for edge AI platforms through quantization techniques and model compression, collaborating with engineers, and staying updated on AI advancements.

Develop and optimize AI compiler solutions for machine learning workloads, collaborating with hardware architects to enhance performance and deployment.

The role involves training AI language models by evaluating code, crafting computer science questions, and providing coding expertise in Polish.

The Solutions Principal will customize AI/ML solutions for major industries, working with sales teams to architect customer-specific solutions and manage pre-sales activities.

The Applied AI Research Scientist develops ML models/techniques, leads research projects, reviews literature, and explores data sources to enhance AI applications in architecture and engineering.

As a software engineer, you will develop and manage components of data management software, focusing on AI infrastructure at scale. Responsibilities include overseeing product lifecycle and learning new technologies.

This role requires creating instructional technical content, including detailed documentation and high-quality screencasts, while collaborating with development teams to ensure accuracy and engagement.

The role involves assessing AI-generated math content, crafting math questions, and evaluating AI responses, requiring expertise in math and Spanish.

The AI Engineer will develop AI/ML solutions using Python, maintain enterprise-level apps in C#, oversee project functionality, and apply machine learning practices.

Develop and implement AI/ML solutions using Python; maintain enterprise applications using C#. Collaborate in a friendly team environment.

The role involves developing and implementing AI/ML solutions using Python and maintaining enterprise-level applications in C#. Responsibilities include ensuring project functionality and utilizing various frameworks and databases.