Top AI Jobs in Belfast

Build AI-native product features end-to-end: prototype rapidly, ship iterative releases, engage customers for feedback, and own quality, scope, and outcomes. Work in short cycles using agentic coding and modern stack to move from 0-to-1 in a startup environment focused on human-risk cybersecurity.

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

The Senior AI/ML Engineer will design, develop, and deploy language models for African languages, focusing on NLP applications and cultural context.

The AI Creative Designer creates high-quality, AI-generated visuals for marketing campaigns, collaborating with teams to optimize visual content for conversion rates.

The AI Operations Specialist will support CoinMarketCap's AI team by conducting feature evaluations, developing tools and automations, managing outreach, and collaborating with internal stakeholders to enhance AI operations.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

As an AI Engineer, you will build LLM systems, maintain AI solutions, collaborate across teams, and refine infrastructure integration while ensuring system uptime and accuracy.

The role focuses on deploying AI SDR agents and optimizing sales processes through automation, enhancing productivity across the revenue team while requiring hands-on experience in AI implementation in B2B sales environments.

The Applied AI Engineer will develop and deploy AI features, enhance model performance, optimize systems for reliability, and collaborate with teams to address complex problems.

As a Technical Product Manager for AI Systems, you will define system requirements, collaborate with engineers, ensure product quality, and align AI capabilities with user needs.

Develop end-to-end AI product features by integrating LLMs and external tools, ensuring system reliability and performance across multiple tasks.

As a Senior AI Engineer, you will develop AI-powered features, integrating LLM APIs to enhance user workflows while collaborating with teams to ensure reliability and scalability.

The Senior .Net Developer will enhance SDG's C#/.NET Core codebase, design high-load services, and optimize MS SQL queries, benefiting from a remote work environment and attractive benefits.

A 10–12 month Auckland-based graduate programme to learn and support AI, ML and automation solutions. Rotate through roles (AI/ML development, AI ethics, automation), perform analysis, testing and process improvement, collaborate with technology, risk and product teams, and contribute to responsible, customer-focused innovation. Mentorship, training and a pathway to a permanent role at programme end.

Support and enhance ADI's global compliance program aligned to enterprise risk and ISO 37301. Monitor regulatory developments, update policies, execute risk‑based monitoring and testing, manage investigations and remediation, support audits, develop training and communications, track metrics, and collaborate with Legal, HR, Finance, IT, and Operations to drive continuous improvement.

Lead and support execution of ADI's global compliance programs: risk‑based monitoring, policy management, testing, investigations, training, ISO 37301 alignment, audits, remediation, and cross‑functional stakeholder coordination.

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.

Lead a new AI Ops Agents team to design, ship, and scale production-grade automations and multi-agent systems. Own delivery and development of three engineers, build RAG pipelines, maintain AI tooling (Claude/Anthropic ecosystem), prioritize cross-team requests, rapid prototype integrations with enterprise platforms, and upskill engineering teams in practical AI usage.

Design and operate large-scale GPU infrastructure for distributed AI training, ensuring reliability, performance, and efficient customer partnerships.

This job is for candidates with AI infrastructure experience to submit their resumes for future opportunities. No specific role is posted.

The Site Reliability Engineer will provision and manage Kubernetes clusters, build automation tools, debug customer issues, and improve infrastructure reliability.

Work as a consultant combining human insight, strategy and AI to deliver client insight programmes. Synthesize diverse evidence, apply methodology and emerging technologies, support proposals and business growth, and develop consultancy and analytics skills across sectors.

Lead and deliver AI-enabled insight programs, manage client accounts, combine human, cultural and artificial intelligence methods, grow client relationships and revenue, coach and develop teams, shape propositions and ways of working to evolve insight consultancy.

Build internal AI enablement tools, workflows, and guardrails to help engineers use coding agents safely and productively. Evaluate models and agents, partner with teams to apply AI, track adoption and impact, and provide documentation, training, and advocacy across the engineering organization.

Lead design and build of scalable AI platform capabilities on Azure and Databricks, including data lakes, integration, model hosting, APIs, and IaC. Produce technical designs, reusable platform components, optimize performance/cost, and collaborate across engineering, architecture, and product to drive operational excellence.