Top AI Jobs in Belfast

The VP Field Marketing is responsible for leading marketing strategy and execution in Europe, focusing on demand generation, brand awareness, and pipeline development while collaborating cross-functionally and driving a data-driven culture.

The Senior AI Engineer will design, optimize and deploy AI systems in cybersecurity, collaborating with cross-functional teams and mentoring junior engineers.

The Principal AI Engineer will design and implement AI models and systems, mentor team members, and ensure AI solutions deliver real customer value.

Design and deliver complex product features using AI tools, build AI-native workflows, and mentor teams to enhance engineering practices.

As Lead Product Manager, you'll drive the evolution of the Immersive One platform, coordinating product development and ensuring alignment with user needs while analyzing data to define success metrics and product roadmap.

The Campaign Operations Manager will lead AI integration and automation within EMEA Marketing, optimizing campaign processes and performance analysis, while driving change management.

Manage business relationships with GSIs in EMEA, focusing on AI-enabled services and program development partnering with NVIDIA solution architects. Drive sales strategies, track progress, and foster collaboration among teams.

The AI Sales Director will sell Wasabi's cloud storage solutions to AI/ML and data-intensive companies, generate leads, and build partnerships to drive revenue.

The Principal Product Specialist will drive sales strategy, manage Proof of Concept processes, and facilitate customer engagement for DSPM solutions across EMEA, ensuring product evolution based on customer feedback.

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 complex software implementation projects for emergency services, ensuring timely delivery, budget adherence, and quality standards while coordinating with cross-functional teams and managing stakeholder expectations.

As an AI Transformation Owner at GitLab, you will shape AI strategies, improve workflows, and drive adoption of AI solutions in your organization, working closely with an AI Engineer.

Join a pioneering team in post-quantum cryptography, working on RISC-V based security solutions. Collaborate on innovative technologies in a flexible environment.

The role involves leading insights into AI strategies for legal departments, providing unique research and guidance, and engaging with top legal executives on technology adoption and governance.

As a Staff Backend Engineer at GitLab, you'll enhance backend infrastructure for CI, integrate AI features, and ensure reliability and performance in CI/CD workflows.

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

The AI Engineer will develop and enhance Upwind's AI platform, creating autonomous security workflows and collaborating with AI Research and engineering teams to integrate AI-driven features into products.

The Senior Software Engineer will lead the development of AI-powered applications, mentor team members, and ensure high code quality, while collaborating with cross-functional teams.

Design, prototype, and deploy generative AI systems (RAG, agents) and integrate LLMs with data sources and production systems. Build cloud-native solutions, apply LLMOps and model evaluation, and collaborate cross-functionally to deliver scalable AI products.

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

The Lead AI Engineer will lead the AI Ops team, developing automations and AI agents to improve internal operations and customer service in a fintech setting, while managing engineers and prioritizing tasks effectively.

Train large language models to improve code quality by ranking, repairing, and refactoring code snippets while providing detailed explanations for feedback.

The Software Engineer will train large language models to generate and improve code through ranking and editing. Responsibilities include repairing AI-generated code and providing detailed feedback for model refinement.

This role involves training large language models to write code, ranking code snippets, and ensuring AI-generated code is correct and efficient. Strong communication skills are essential for explaining code improvements.

The Software Engineer, AI will train large language models by ranking and repairing AI-generated code while providing feedback into the RLHF pipeline.