Top AI Jobs in Belfast

The Ecosystem Growth Manager will drive the onboarding of GPU providers, AI builders, and strategic enterprise partnerships to enhance the AIVM ecosystem, addressing Web3 challenges and establishing a decentralized infrastructure.

As a Senior AI Engineer at DATAPAO, you will lead AI projects, provide ML consultancy, and act as a client interface, ensuring high-quality delivery while mentoring teams.

The AI Multimedia Designer will create AI-generated video ads and UGC-style visuals for paid channels, collaborating with strategists and buyers to enhance content performance and drive conversions.

The AI Solutions Director at Nearform leads AI solution development, strategic partnerships, and pre-sales engagements, leveraging deep AI expertise to drive measurable business impact for enterprise clients.

As a Finance Intern at Mentis AI, you will assist in building financial models, performing deep financial analysis, and collaborating with ML engineers to improve AI systems in finance.

This residency offers exposure to AI in finance, focusing on prompt development, evaluating AI judgments against human reasoning, and constructing financial models for AI systems.

Serve as a subject-matter expert advising CFOs and controllers on transforming controllership, AP/AR and financial close using AI and automation; produce research, vendor guidance, and present insights to global clients.

Join a team of interdisciplinary experts to develop AI solutions, experiment with emerging technologies, and work on innovative projects across various sectors.

Responsible for designing and developing AI products, collaborating with cross-functional teams, and advancing AI capabilities in enterprise software development.

As an AI Product Engineer, you will architect AI solutions, leverage Google Cloud for data management, create data visualizations, and automate workflows to enhance employee experiences.

Optimize and integrate AI-powered recommendations into email marketing, ensuring personalized content based on user behavior. Collaborate with developers and data engineers.

As an AI Engineer, you will design and implement the Auto-Moderation Service and AI features, working with Full Stack Developers to integrate intelligent systems into the platform.

Design and deploy AI-powered HR solutions, integrating and automating HR workflows. Ensure compliance, governance, and drive adoption of tools among HR team members.

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.

Lead technical discovery and implementation of AI/LLM-powered agents for enterprise procurement workflows. Design agent architectures, build and tune prompts, create integrations with ERPs/CLMs via middleware/iPaaS, drive deployments, enable customers, and feed product insights.

The AI Implementation Manager leads the delivery of AI solutions from design to rollout, ensuring alignment with architecture, overseeing technical aspects, collaborating with various teams, and maintaining delivery progress under pressure.

Design, build, and optimize high-performance AI infrastructure systems to support intelligent agents, ensuring reliability and scalability for millions of users.

The role involves architecting AI solutions for compliance, ensuring regulatory adherence, automating processes, and enhancing team capabilities through technology and training.

Lead the technical vision for AI at M&S, solve business challenges with AI solutions, and drive continuous improvement across operations.

As a Senior MLOps Engineer, you'll enhance AI production by managing infrastructure, automated pipelines, and model deployments, ensuring optimal performance and reliability for diverse AI tasks.

The AI Video Ads Editor will create high-impact, AI-generated video ads for D2C brands, using AI tools and collaborating with teams to optimize content for conversions while monitoring performance metrics.

Design and fine-tune large-scale Vision-Language Models for tasks involving visual reasoning and 3D understanding, while collaborating on model adaptation and publishing research.

As a Senior AI Engineer, you will architect, develop, and scale AI-powered services for our SaaS platform, collaborating with teams and ensuring quality and reliability of AI features.

Provide hands-on deployment, debugging, benchmarking, and optimization of large-scale AI training and inference workloads on NVIDIA GPU clusters. Work with customers and internal teams to identify bottlenecks, improve efficiency, and scale workloads reliably while contributing to resilience features for sovereign AI initiatives across Europe.

The AI Engineering Intern will design, test, and deploy scalable AI systems, integrate models, and work on inference optimization, collaborating with data scientists on complex problems.