The Front End Developer supports the design, development, and enhancement of modern web-based applications and data visualization platforms for Department of Defense mission requirements.
Responsibilities
Design and maintain responsive web applications and interactive dashboards using React and modern visualization libraries
Integrate APIs, RSS feeds, and database-driven solutions to support mission analysis and decision-making
Automate workflows with Python or JavaScript
Support data visualization and application performance
The GARRETT GROUP is seeking an experienced Data Analyst to support advanced analytical, data management, and machine learning initiatives in a dynamic Department of Defense environment.
Responsibilities
Design and manage data collection processes
Analyze large and complex datasets
Develop machine learning models
Create analytical products using Python, R, SQL, and Business Intelligence tools
Support mission decision-making through data visualization and automation
As an AI Apps Solution Engineer, you will play a pivotal role in helping enterprise AI developers unlock the full potential of Microsoft’s AI-powered stack across every stage of the development lifecycle. You’ll guide customers through secure, scalable solution design and accelerate AI applications development.
Responsibilities
Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
Lead hands-on engagements—hackathons, code-with sessions, and architecture workshops—to accelerate adoption of Microsoft’s developer tools and cloud platforms.
Build trusted relationships with developers and platform leads, co-designing secure, scalable architectures and solutions
Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
Maintain deep expertise in AI Foundry & App architecture (Agentic AI framework, Foundry SDK, Responsible AI, MCP, RAG) and App architecture/cloud native dev (APIs, containerization, microservices, event-driven, Github Copilot, Python, Java or .NET).
Vice President level Senior AI Engineer role focused on designing and deploying Generative AI and Agentic AI solutions for the banking sector.
Responsibilities
Design, implement, test, and deploy scalable generative AI applications and agentic workflows for critical banking use cases.
Build end-to-end applications integrating front-end interfaces, backend services, and state-of-the-art LLM tools, APIs, and Model Context Protocol (MCP) integrations.
Champion an agile, MVP-first mindset to rapidly develop Proof of Concepts (POCs), run A/B experiments, iterate based on feedback, and accelerate time-to-value.
Implement evaluation metrics, guardrails, automated testing, and telemetry to benchmark agent behavior, response accuracy, and operational performance.
Collaborate closely with Lead Engineers, Data Scientists, Product Managers, and cross-functional teams; uphold best practices in code quality, automated testing, CI/CD, and peer reviews.
Requirements
Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or related technical field
Nice to have: Experience in banking, financial services, or other highly regulated enterprise environments
Leading a team of more than 6 engineers to manage second-level operations of large multivendor Telco-Cloud and IP networks, ensuring operational targets, KPIs, and SLAs are met.
Responsibilities
Fault management and TT resolution
Change request management
Incident and emergency handling
New nodes and service introduction
Nodes/System Upgrades to manage life cycle management
Fully funded PhD studentship focused on the use of artificial intelligence (AI) to accelerate the design of environmentally responsible soft polymers and the development of Laser-Induced Graphene (LIG) transfer processes for circular electronic textiles and soft robotic systems.
Locations (2)
Cork, Cork, Ireland
Dublin, Dublin, Ireland
Compensation
A generous tax-free scholarship stipend payment including tuition fees covered. The annual stipend is €25,000.
Responsibilities
Design, prepare and characterise environmentally responsible soft polymer formulations based on bio-derived, biodegradable, recyclable or low-hazard materials.
Develop and optimise the fabrication and transfer of porous Laser-Induced Graphene structures onto soft, flexible and stretchable polymer substrates.
Investigate how polymer formulation, surface properties and transfer conditions influence mechanical behaviour, adhesion, pattern fidelity, electrical conductivity, durability and end-of-life performance.
Characterise the resulting materials and interfaces using mechanical, electrical, electrochemical, spectroscopic and imaging techniques, including tensile and cyclic testing, adhesion measurements, sheet-resistance analysis and microscopy.
Sr. Principal Data Scientist – Machine Learning and Predictive Analytics
We are seeking a first-principles thinker and skilled data scientist to solve complex data challenges. This is not a role for operating pre-built tools; this is an opportunity to architect and build the core data logic of our systems.
Compensation
Primary Level Salary Range: $156,400.00 - $234,600.00. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
Responsibilities
Collaborate closely with software engineers, analysts, and other data scientists to understand data requirements and deliver robust, integrated solutions.
Architect and develop custom, maintainable data science solutions from the ground up.
Write and maintain tests and documentation for data architecture, workflows, and processes.
Champion software engineering best practices within the data domain, including comprehensive unit/integration testing, CI/CD automation (Git, Docker), and robust documentation.
Tune and optimize complex algorithms within our on-premise infrastructure.
Requirements
Bachelor’s Degree in a Science, Technology, Engineering or Mathematics discipline
Looking for a Senior Software Development Engineer in Test to drive quality across cloud platforms and complex distributed systems, combining hands-on test development with simulation environments, engineering tools, and agentic QA workflows.
Responsibilities
Define and drive test strategies for cloud platforms and GPU-accelerated services.
Design and develop scalable test frameworks, simulation environments, mock services, and workload generators.
Build functional, integration, end-to-end, reliability, performance, and security coverage for service lifecycle operations.
Investigate complex failures using logs, metrics, traces, and controlled experiments.
Integrate automated validation into CI/CD pipelines.
Requirements
Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field
Develop structured datasets and apply machine learning and multi-objective optimisation to predict performance and guide the selection of new formulations and transfer conditions.
Requirements
Honours undergraduate degree or equivalent, in Materials Science
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