Top AI Jobs in Belfast

Recruit experienced mid-to-senior AI/ML engineers and data scientists across the MENA region into a remote talent community offering expert sessions, curated professional development, peer networking, and job-matching opportunities. Members engage in learning, leadership, and collaboration to accelerate careers and access top AI roles.

Build a production-ready web crawling and AI lead-qualification application: crawl and extract website content, analyze with LLMs to score/qualify industry-specific leads, produce structured outputs, and deliver a maintainable handover-ready product.

Manage early-stage grantmaking for the Transformative AI Fund: evaluate applications, recommend grants, source opportunities, support grantees, build partnerships, represent the fund, and develop systems and LLM-assisted tooling to improve grant processes.

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.

Lead product marketing for AI and emerging products across the full lifecycle: market research, positioning, pricing, launches, enablement, and growth. Drive GTM strategy, alignment with Product/Sales/CS, and build repeatable frameworks. Use customer insights and AI tools to inform roadmap, messaging, and commercial decisions while scaling adoption and go-to-market execution.

Lead development and execution of a Professional Development Strategy for AI Technical and AI Notified Body teams. Assess training needs from regulatory, standards, audit, and performance outputs; design learning pathways, onboarding, initial training and CPD; oversee competence data to identify gaps; coordinate with leadership to implement capability plans and support competence verification.

Own and drive the AI SDR program end-to-end across regions: set direction, optimize agent-human handoffs, improve pipeline and ROI, automate reporting, resolve SDR pain points, and launch new agentic programs. Partner with ops and sales teams to target enrollment, define workflows, and prove measurable impact.

Build production-grade AI-enabled contract intelligence products across backend and frontend: design APIs, ingestion, retrieval, async job systems, caching, security, Azure deployments, observability, and polished React/TypeScript UIs. Move prototypes to production, improve developer experience, and use AI-assisted coding responsibly.

As a Technical Product Manager (AI), you'll manage projects, prototype tools, and enhance AI insights for decision-making at Verve.

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.

As an AI Automations Engineer, you will design and build tooling for GTM, Operations, and Finance teams, automating processes and enhancing systems with a focus on AI.

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

Own full enterprise GTM lifecycle for a GenAI SaaS product: prospecting, discovery, demos, pilots, negotiations, closing, and expansion. Map creative workflows, design pilots with success metrics, manage complex multi-stakeholder sales cycles, coordinate contracts and security reviews, and build repeatable GTM processes while feeding customer insights back to Product and Leadership.

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.

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.

The role involves creating research content, providing insights in Analytics and AI, engaging with clients, and mentoring team members. A strong focus on industry trends and effective presentation skills is required.

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.

Architect and build a production, self-improving learning platform: capture event pipelines, measure outcomes, implement recommendation and feedback loops, maintain knowledge graphs and vector stores, build feature stores and experimentation infra, and create evaluation frameworks. Spend majority time coding and shipping resilient systems while providing technical leadership and shielding the engineering team.

Lead design and implementation of scalable AI-centric systems for offensive security, develop agentic AI capabilities (LLMs, RAG), own feature lifecycle to production, mentor engineers, run design reviews, and integrate AI into microservice architectures with cloud, container, and messaging technologies.

Design, build, and deploy AI systems (predictive models, NLP, generative AI) from PoC to production. Work with clients to define use cases, prepare large datasets, implement deployment and monitoring pipelines using cloud-native tools, and collaborate with cross-functional teams to operationalize AI solutions.

Design, build, and operate internal developer platforms and production-ready infrastructure. Build IaC, manage Kubernetes clusters and CI/CD pipelines, implement secrets management, embed SRE and security practices, and support AI/ML infrastructure and MLOps. Lead client engagements, run workshops, coach engineers, and deliver documented, production-ready solutions.

The AI Business Development Manager will engage with clients, identify sales opportunities, manage client relationships, and convey complex AI standards and services effectively.

The Research Manager will lead AI-powered insight projects, manage client relationships, oversee team execution, and innovate using AI tools to improve insights delivery.

Senior commercial role to originate, qualify, and convert GPU compute demand across Armada's AI factory and Leviathan deployments. Build and manage a pipeline of offtake, anchor tenancy, and reserved capacity deals; map customer requirements to deployable infrastructure; shape commercial structures and go-to-market; and provide market intelligence to inform site selection, capacity planning, and product strategy.

Build and ship AI-driven GTM systems: outbound lead engine, inbound/lifecycle automations, AI-assisted content pipeline, data/reporting layer, and fast production patches to eliminate manual marketing workflows.