Top AI Jobs in Belfast

Architect and build agentic workflows combining LLMs, reasoning, and data pipelines. Lead ML/NLP product development from training to deployment, drive experimentation, integrate intelligent agents into recruiting workflows, mentor engineers, and improve reliability, personalization, and observability.

As a Product Manager, you will lead AI-first pods, drive product roadmaps, prioritize customer needs, and collaborate effectively across teams to deliver AI-powered solutions.

The Technical Artist will aid in optimizing an AI-driven creative production pipeline, transforming concepts into high-quality 3D outputs, troubleshooting technical issues, and maintaining asset organization.

The Senior AI Transformation Consultant works with clients to identify AI opportunities, define robust business cases, and oversee AI project deployments, ensuring solutions deliver value.

This role involves mentoring apprentices in AI technologies, providing assessments, support in project development, and fostering learner relationships.

Create high-quality video content and integrate AI tools into production workflows, combining storytelling and video craft to enhance cinematic quality.

Lead and build Maze’s new AI-native Market Research service: define research vision and methodologies, recruit and manage a research team, own delivery quality, partner with Product/Engineering and GTM, and serve as executive research lead on strategic customer engagements.

Design, scale, and productionize ML and physics-based scientific code for drug and materials discovery. Transition prototypes to robust products, orchestrate distributed GPU training, implement hardware optimizations, and support model lifecycle and integration into large-scale simulation frameworks.

Lead architecture and delivery for Fortives HR technology ecosystem, owning Oracle HCM, Boomi integrations, ServiceNow HRSD, Eightfold and LMS platforms. Define API-first integration patterns, implement AI/automation use cases, ensure data governance and compliance, and guide integration engineers while partnering with HR and IT stakeholders to modernize HR systems.

As a Growth Hacker, you will develop Kyra's growth engine, managing both paid and organic marketing channels while leveraging AI to optimize performance and build a robust pipeline of qualified leads.

Design and build production AI systems and distributed backend services that enable genomic reasoning, retrieval, and data platforms. Integrate genomic annotations and interpretation logic, architect high-performance data models and storage across PostgreSQL, DuckDB, Qdrant, Redis, and Spark. Ensure AI outputs are accurate, explainable, and grounded in genomic evidence while collaborating across engineering and bioinformatics teams.

Build and operate distributed backend services and genomic reasoning engines that combine whole genome bioinformatics with AI. Design scalable data models, retrieval and vector search systems, and deterministic guardrails to ensure scientifically accurate, explainable genomic AI for production use.

The Mid/Senior AI Cinematic Video Editor will create narrative-driven video content using AI tools, manage production workflows, and ensure visual cohesion.

As a Technical Lead, you will guide software engineering teams, translate client requirements into applications, ensure best practices, and shape technical direction while mentoring team members.

The role requires deploying AI solutions and automations for clients, building prototypes, integrating systems, and collaborating with various teams while ensuring effective client interaction.

Deliver and operationalize AI learning and adoption programs across the firm: run workshops, cohorts, office hours, champion activities, learner support, stakeholder engagement, learning operations, and measurement to embed responsible AI into workflows and drive adoption.

Drive research and engineering for large-scale LLM and multi-modal pre-training: design architectures, curate massive datasets, run distributed training on multi-node GPU clusters, optimize performance, and advance cross-modal alignment and efficiency.

Lead a global team of solution specialists to drive growth across AI Business Solutions, Security, and Business Process. Coach and develop specialists, engage strategic customers and partners (including Japanese enterprise accounts), manage pipeline and forecasts, scale cross-region GTM best practices, and deliver measurable revenue, transformation, and operational outcomes across complex, multi-region environments.

Build and ship AI-powered, production-grade features enabling analytics and agentic workflows across large datasets. Rapidly prototype, iterate, and dogfood solutions; integrate agent components with internal tools; collaborate cross-functionally while owning scalable, maintainable AI-driven product capabilities.

This role leads CX automation and AI initiatives, builds AI agents, manages complex programmes, and enhances operational tools for team effectiveness.

As the primary engineer for Aperture OS, you will own the full codebase, drive feature development, manage API and AI integrations, and ensure security and scalability in a multi-tenant SaaS environment.

Design, build and optimise Python-based AI applications and data storage solutions. Collaborate with clients and teams, enforce code quality, CI/CD, testing practices, and deliver scalable production systems across cloud environments while travelling to client sites.

Lead design and scaling of legal AI evaluation frameworks and benchmarks, build and maintain datasets, audit and score AI legal outputs, define metrics focused on reasoning and citation accuracy, and collaborate with engineering to translate legal errors into model fine-tuning feedback.

Lead and operationalize a company-wide AI governance program: build frameworks, assess AI risks and use cases, embed controls in SDLC, run governance council, liaise with Siemens consortium, handle regulatory compliance (EU AI Act, NIST AI RMF), produce reporting, and deliver training and documentation across Product, Engineering, Legal, Privacy, HR and Security.

Build and ship AI-native systems for a fintech neobank: AI agents, RAG/LLM apps, tool-calling and automations to improve onboarding, KYC, support, risk review, CRM and operations, focusing on reliability, latency, cost, security and compliance while collaborating with product and engineering teams.