Top Engineering Jobs in Dublin

Design, build, and deploy production AI solutions including transformer-based and generative models. Develop data pipelines, feature engineering, training workflows, and model serving. Apply MLOps best practices, collaborate with product and engineering teams, support production troubleshooting and performance tuning, and participate in code reviews and technical planning.

Design, build, and deploy production AI solutions including transformer and generative models; develop data pipelines and feature engineering; implement model serving, monitoring, and MLOps practices; collaborate with product and engineering teams to ensure reliable, performant systems.

Design, build, and deploy transformer-based and generative AI models into production. Build data pipelines and feature engineering, implement model serving and inference, apply MLOps practices (tracking, versioning, testing, monitoring), collaborate with product and engineering teams, and troubleshoot and optimize model performance in production.

Design, build, and deploy production-quality AI solutions. Develop and optimize transformer and generative models, manage data pipelines and training workflows, implement model serving and MLOps practices, and collaborate with product and engineering teams to operationalize and monitor AI systems.

Design, build, and productionize AI/ML solutions (including transformer-based and generative models). Develop data pipelines, feature engineering, training workflows, model serving/inference, and MLOps practices. Collaborate with product, data, and engineering teams, perform code reviews, troubleshoot and optimize models in production, and ensure model monitoring, versioning, and quality.

Design, build, and deploy production AI/ML solutions, focusing on transformer and generative models. Develop data pipelines, training workflows, model serving, and MLOps practices. Collaborate with product, data, and engineering teams to ensure reliable, monitored, high-quality model performance.

Design, build, and deploy production AI/ML solutions including transformer and generative models. Develop data pipelines, feature engineering, training workflows, model serving, inference, and MLOps practices. Collaborate with product and engineering teams, perform code reviews, monitor and tune models in production.

Lead a team designing, building, and delivering resilient, API-driven microservices at scale. Oversee project delivery, code reviews, SDLC best practices, testing strategies, secure coding, performance engineering, and cross-functional architecture decisions. Mentor and grow engineers, set goals, and ensure operational excellence and security compliance.

Lead a team of software engineers in developing financial solutions, focusing on product engineering and team management to ensure business growth and operational efficiency.

Lead design and execution of 2K's global data platform, telemetry, and ML Ops. Own cloud FinOps, drive streaming telemetry and feature pipelines, build cross-studio partnerships, and hire and mentor a high-performing data engineering team to enable proactive, AI‑integrated analytics.

As a Staff Technical Program Manager for Site Reliability Engineering, you will drive program execution, enhance production reliability, and facilitate cross-functional coordination while managing dependencies and shaping roadmaps.

We seek Geotechnical Engineers/Geologists at all levels to join AECOM's Ground Engineering team, delivering innovative project solutions across various sectors.

Lead and scale a global Solutions Engineering team to drive pipeline, demos, and revenue. Architect AI-focused GTM strategies, influence product roadmap with customer insights, and represent Workvivo with executive stakeholders to grow enterprise and mid-market adoption.

Lead and manage engineering teams building Copilot-enabled enterprise applications on Dynamics 365, Azure, and Power Platform. Guide design, dependency identification, scalability, performance, and on-call reliability; coordinate releases and stakeholder requirements while driving high-quality, maintainable code and product outcomes.

Leads and grows a software engineering team responsible for Windows application compatibility infrastructure. Sets technical strategy, roadmap, and execution priorities; ensures tools discover regressions before release; advances automation, AI-assisted testing, CI/CD, and incident response. Partners globally across Windows organizations, represents team outcomes to leadership, and develops an inclusive, high-performing engineering culture through hiring, coaching, and technical leadership.

Lead regional engineering for European bottling & blending sites, manage Capex portfolio and regional engineering team, deliver large capital projects, build 5–10 year masterplans, and report on project governance and risks to senior leadership.

Lead infrastructure initiatives in cloud and edge environments, focusing on CI/CD pipeline implementation, system reliability, and data security compliance while managing a team.

As Engineering Manager for AI Models Infrastructure, you will lead a team responsible for building foundational infrastructure for AI products while contributing directly to production code and enhancing developer experience.

The Engineering Manager will lead the AI Platform Team, overseeing infrastructure development, hands-on coding, and supporting ML teams while planning high-impact roadmaps and improving developer experience.

The VP of Quantum Software Engineering will lead the architecture and development of a comprehensive software stack for quantum processors, overseeing teams to ensure high-quality software, algorithm integration, and system optimization.

Lead technical strategy and innovation across product engineering; serve as technical authority on complex IC, DSP, mechanical/optical, and reliability challenges; mentor teams, influence organizational direction, and collaborate with senior leadership on product strategy and qualification/testing standards.

The Principal Engineer will lead design verification for mixed-signal power converters, developing testbenches, verification plans, and metrics, while mentoring engineers and ensuring end-to-end verification readiness.

Lead and grow an engineering team building and maintaining Affinidi Elements. Drive architecture, quality, performance, and delivery across TypeScript/Node.js/React systems. Collaborate with product, design, and infra; mentor engineers; own complex features, CI/CD, testing, security, and cloud-native (AWS serverless) patterns while promoting best practices and developer tooling.

12-month graduate rotation combining Solution Engineering and Sales. Includes onboarding academy, technical learning, customer demos, discovery, prospecting, campaign support, buddy mentorship, certifications, and potential promotion to Associate Solution Engineer.

Lead and mentor a team of software engineers building engineering and data products for Windows. Set technical direction, drive AI/big-data solutions, partner across product and program teams, and promote engineering excellence, reliability, and strong user outcomes.