Top AI Jobs in Belfast

Own daily operations and quality assurance for an internal AI-powered growth platform. Test releases, rule changes, edge cases, and regressions; document and verify bug fixes; monitor platform and agent activity; manage approval queues; evaluate agent output; escalate risks; and maintain test plans, QA checklists, runbooks, and release notes.

Leads the mid-market business development function, including team building, territory strategy, prospecting, negotiation, closing, pipeline management, and account acquisition and retention across pharma and biotech. Partners with marketing, strategy, and commercial operations on go-to-market execution. Represents the company at industry events and develops relationships with clinical trial sponsors while selling complex AI-powered SaaS solutions.

Build and operate data pipelines across Salesforce, HubSpot, Stripe, and Databricks; maintain go-to-market analytics models and dashboards; develop LLM-based agents and automations for Sales, Marketing, and Finance; and productionize integrations with testing and monitoring.

Build and deploy production machine learning systems for classification, retrieval, ranking, personalization, and evaluation. Develop training and inference pipelines, improve model quality and efficiency, create evaluation datasets and metrics, monitor production performance, debug issues, and ship reliable ML-powered features. The role emphasizes balancing accuracy, relevance, latency, cost, privacy, and reliability while collaborating with engineering and product teams.

Lead technical design and delivery of AI-native email applications. Own architecture and implementation across backend, frontend, APIs, databases and cloud. Stay hands-on writing and reviewing code, debugging production, mentoring engineers, driving major initiatives, improving tooling, and ensuring reliability, security and observability while collaborating with product, design and AI teams.

Own and build Oversee’s product marketing function, including ICP definition, positioning, persona messaging, competitive and win/loss research, product content, sales enablement, and end-to-end product launches. Partner closely with product, sales, growth marketing, and executives to translate technical AI and travel technology capabilities into compelling commercial messaging, establish repeatable GTM processes, and measure launch performance.

Own and grow a UK enterprise territory, retaining strategic accounts and expanding Gartner relationships. Engage CIOs, CTOs, CDOs, and other senior executives on AI, cloud modernization, cybersecurity, cost optimization, data strategy, and digital transformation. Prospect for new opportunities, lead consultative executive conversations, align Gartner insights and services to client priorities, and achieve retention, renewal, and quota goals through complex B2B sales.

Lead global Account Executive enablement by designing and delivering training, coaching, certifications, and sales methodology programs. Improve opportunity progression, conversion rates, deal quality, forecast accuracy, and sales cycle efficiency. Partner with Sales Leadership, Product Marketing, GTM Strategy, Revenue Operations, and regional teams to align programs with business priorities. Drive adoption of AI-assisted selling workflows for research, discovery preparation, stakeholder mapping, deal strategy, and follow-up creation.

Designs and demonstrates tailored AI security solutions for prospective clients, leads proof-of-concept projects, provides technical support, conducts training, and collaborates with sales, product, engineering, and research teams. The role requires expertise in cybersecurity, AI workflows, cloud infrastructure, Python, MLOps, and solution architecture, along with strong communication and presentation skills. This is a fully remote UK-focused position with travel to client sites and industry events as needed.

Leads research and thought leadership on procurement technology, CLM, S2P, procurement orchestration, and AI-enabled procurement. Advises senior executives on digital transformation, technology investments, vendor selection, implementation, governance, and adoption. Evaluates procurement technology providers, publishes market research, develops methodologies, and presents findings through conferences, webinars, and executive discussions.

Design, build, deploy, and optimize scalable AI and machine learning systems using large datasets. Develop predictive models, recommendation systems, personalization engines, forecasting solutions, generative AI applications, and production ML pipelines. Collaborate with data, backend, and product teams to integrate models into applications, while monitoring performance, data quality, drift, reliability, and cost. Establish best practices for evaluation, experimentation, reproducibility, and deployment, and research emerging AI technologies.

Designs and owns global digital marketing strategies across acquisition and customer expansion. Responsibilities include campaign architecture, paid media, ABM, nurture, conversion optimization, regional localization, budget allocation, performance analysis, marketing technology improvements, data hygiene, and AI-enabled campaign operations. The role makes commercial trade-off decisions to maximize pipeline and expansion revenue, collaborates with sales and creative teams, and defines account-level measurement frameworks.

Conducts qualitative and quantitative research on technology partner ecosystems, alliances, marketplaces, channels, and go-to-market strategies across EMEA. Responsibilities include survey design, data analysis, executive interviews, market research, written thought leadership, consulting support, client presentations, webinars, and trend analysis involving AI and cloud ecosystems.

Own production Python data pipelines, ETL/ELT workflows, and the ontology powering an AI platform. Integrate warehouses and business applications with graph databases and vector stores, while managing deployment tooling, cloud infrastructure, monitoring, and security. The role begins as hands-on individual contribution and develops toward technical leadership through mentoring and architecture ownership.

Manage credit risk for energy trading transactions involving oil, natural gas, emissions, and power. Responsibilities include counterparty credit analysis, ratings and limit setting, transaction approvals, risk-mitigation structuring, portfolio monitoring, concentration-risk assessment, and early-warning identification. The role partners with Front Office, Market Risk, Legal, Operations, senior management, regulators, and governance committees while driving process, analytics, reporting, digitalization, and responsible AI improvements.

Owns end-to-end enterprise AI sales for Cloudera’s supported Mistral offering and Anywhere Cloud. Responsibilities include pipeline development, strategic account planning, outbound prospecting, proof-of-concept leadership, technical and executive selling, deal negotiation, forecasting, and expansion revenue. The role coordinates engineering, product, legal, implementation, partners, and account teams while positioning AI solutions within customers’ data strategies and hybrid infrastructure.

Lead and scale an AI-driven creative design team producing performance marketing assets for paid media. Own creative direction, production workflows, quality control, testing, and performance-driven iteration. Develop AI tool expertise, prompt and style libraries, and automated workflows with engineering partners. Collaborate with marketers, media buyers, copywriters, producers, and video editors while remaining hands-on with design and AI tools.

Build and lead n8n’s internal AI and automation enablement function. Run recurring workshops, office hours, build-alongs, bounty hunts, hackathons, and dogfooding initiatives for technical and non-technical teams. Develop reusable templates, measure AI fluency and adoption, support cross-functional champions, and act as product owner for a safe internal automation playground. Partner with IT, Security, Data, and Solutions Engineering to define access, credential, and environment requirements.

Build and operate high-throughput backend services for financial crime detection across WorldRemit and Sendwave. Responsibilities include developing alerting, screening, risk-rating, and agentic AI investigation workflows; integrating third-party compliance platforms; improving observability, reliability, and auditability; collaborating with compliance teams; reviewing designs and code; and participating in on-call production support. The role requires strong Java and Spring expertise, event-driven systems experience, and familiarity with cloud and infrastructure tooling.

Design, build, evaluate, deploy, and operate production AI systems using LLMs, retrieval, agents, predictive ML, and model adaptation. Translate ambiguous business problems into reliable system behavior, establish evaluation and monitoring practices, troubleshoot complex failures, and improve AI-enabled product, engineering, and operational workflows. Collaborate across architecture, platform, security, data, quality, product, and domain teams while mentoring engineers and owning systems through continuous improvement.

Leads delivery of cloud platforms supporting large-scale transformation, including migration, modernization, and new builds. Establishes architectural principles and platform strategy with senior stakeholders, drives technology direction, and develops platform capability and team members. Advises on AI strategy, governance, and ROI while applying AI responsibly to improve delivery outcomes. Builds standards, blueprints, customer relationships, and account strategies, and contributes to organizational platform engineering, developer productivity, and emerging technology adoption.

Own and improve Clipboard’s internal operations tooling ecosystem by building workflows, integrations, and automations. Partner with Engineering and Operations leaders to define requirements, write technical specifications, prioritize initiatives, troubleshoot production issues, improve system reliability, and introduce AI-driven solutions that increase operational efficiency and scalability.

Conduct independent research on frontier AI evaluation and auditing. Design rigorous evaluations, audit methods, and reproducible experimental pipelines; analyze model capabilities, risks, robustness, and alignment-relevant behavior. Produce audit reports, recommendations, publications, tools, and presentations while collaborating with technical, policy, engineering, and standards teams. The role requires careful handling of confidential information and may involve pilot audits with frontier AI companies.

Drive pipeline and bookings growth through strategic Global Systems Integrator partnerships across Europe. Develop joint business plans, coordinate enterprise sales pursuits, generate demand, strengthen executive relationships, expand partner-led services and platform adoption, and monitor performance through business reporting. Collaborate with Sales, Marketing, Product, Services, Finance, and alliance teams to execute go-to-market initiatives and deliver measurable revenue outcomes.

Own significant product areas from customer problem discovery through delivery, measurement, and iteration. Build AI-powered prototypes and production products, use AI coding tools daily, and engage directly with customers and commercial stakeholders. Lead small squads, influence product direction, communicate across technical and business teams, and contribute to an AI-native product engineering culture. The role is fully remote in the UK and focuses on EV energy, virtual power plants, and grid services.