Top AI Jobs in Belfast

Own and evolve production voice AI systems across telephony, speech, and LLM stacks. Build, ship, and scale phone agents; implement observability, evaluation, and tooling; collaborate cross-functionally to integrate voice AI into product workflows.

Freelance AI Engineer to design, develop, and deploy AI and machine learning solutions. Responsibilities include algorithm development, data analysis, building production-ready models, and contributing to the platform's AI initiatives in a fully remote capacity.

Hunt and build the EMEA robotics and physical AI business: execute GTM strategy, prospect and open net-new accounts, orchestrate partner ecosystems, lead complex technical-commercial programs from validation to close, run marketing and demand-generation initiatives, and represent the company at industry events. Requires technical advising with engineering teams and up to 25% travel across EMEA.

Build and scale AI-driven automation solutions using LLMs and agent frameworks. Design multi-step workflows, integrate AI with internal systems (HR, finance, legal, ticketing), automate document processing and data extraction, and train internal teams. Collaborate with technical leads, product, and IT to deliver practical, production-ready automation and iterate quickly.

Mentor apprentices on an AI Champion programme by assessing progress, supporting portfolio development and EPA preparation, providing technical advice and regular feedback, contributing to curriculum content, safeguarding learners, and liaising with employers and the Delivery Team to drive AI adoption.

Mentor apprenticeship learners to identify and implement AI-driven workflow improvements, assess progress against the apprenticeship standard, support portfolio and EPA preparation, provide technical support and mentoring sessions, report learner progress, and uphold safeguarding and equality responsibilities.

Work as a quantitative consultant delivering insight programmes that combine advanced analytics, mixed methods and AI to solve client problems. Contribute to analysis, synthesize evidence, build consultancy skills, explore AI tools, support business growth and help shape proposals and client-facing work.

As an AI Product Manager at n8n, you'll develop AI-driven product experiences, coordinate with various teams, and innovate through user-centric design, focusing on AI trust and building.

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.

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.

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.

Ship real open-source integrations and MCP servers to bring SearchApi to agent and automation frameworks. Create PRs, example apps, docs, and integration guides. Stay current with the agent ecosystem, pick high-leverage targets, and work independently to deliver production-ready integrations.

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.

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.

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

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.

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

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.

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.

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.

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 MVP delivery of an AR-powered, culturally sensitive mobile product providing real-time Quranic recitation translation. Define scope, manage ASR/NLP and mobile teams, ensure GDPR/privacy-by-design and Sharia compliance, design reverent Prayer Mode UX, deploy cross-platform with offline/edge support, and track latency, confidence, stability, and accessibility KPIs.

Lead design and deployment of human-machine collaboration strategies, evaluate workflows for AI teaming opportunities, create shared-control frameworks, coordinate with engineers and UX, manage training/change management, measure teaming performance, ensure ethical AI integration, and produce SOPs and stakeholder documentation.

Deliver and operationalize an AI Code of Responsibility and governance for a 35-person, values-driven SME: implement interim AI guidelines, define decision rights, run workshops to protect creative boundaries, produce 3–4 implementation-ready roadmaps (Shopify integration, fabric calculators, PO/SO automation), assess environmental and privacy impacts, create training materials and an AI decision framework, and establish incident reporting and sustainable governance that the team can run independently.

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.