Top AI Jobs in Belfast

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.

As Product Manager, lead AI/ML strategies for Accelerant's Risk Exchange platform, collaborating with teams to develop tools for risk management and decision-making.

The Senior Specialist will design and implement AI systems, lead engineering projects, mentor engineers, and collaborate across teams to align technical execution with business needs.

As a Principal Operations Engineer, you'll eliminate operational friction by designing and automating internal systems, applying AI pragmatically, and working closely with teams to improve workflows and efficiency.

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.

Lead AI strategy, build internal tools, and drive AI adoption across the company while collaborating with leadership and delivering measurable efficiency improvements.

As a Full Stack Software Engineer, you will design and build product features, ensuring resilience and scalability while collaborating with AI researchers.

The AI Developer will create applications for inventory management, automate invoice retrieval, and optimize OCR processes using AI and ML.

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

Manage the entire sales process for NiCE AI solutions, drive sales opportunities, develop relationships with executives, and contribute to pipeline generation activities.

As a Senior AI Engineer, you will develop advanced AI solutions, mentor junior staff, and ensure responsible AI practices in a collaborative environment.

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

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.

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.

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.

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

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

The Senior DevOps Engineer will design, implement, and optimize ML/AI pipelines using Azure Databricks, ensuring AI models are production-ready and scalable.

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.

As an AI engineer, you will develop and deploy AI systems, collaborate with teams on technical requirements, and ensure the ethical use of AI technology.

The Customer AI Architect partners with enterprise clients to identify AI use cases, architect solutions, and drive the adoption of WRITER's platform to improve business results.

Develop scalable generative AI applications, integrate AI models, optimize APIs, and ensure code quality while collaborating with cross-functional teams.