Find Ai/machine learning engineer Jobs in Lusk, D

Forward Deployed Engineer II, GCC (French, German)
Google —Dublin, County Dublin
- €76,000–€78,000 a year
- Full-time
- Spanish
- Microsoft Excel
- Doctoral degree
13d
Senior Data Engineer
Optum —Dublin, County Dublin
- Full-time
- Azure
- DevOps
- System design
Automation Risk Lead
Meta —Dublin, County Dublin
- SQL
- AI
- Leadership
Senior Software Engineer
Learnosity —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- Bachelor's degree
- Annual leave
- Employee assistance program
Quick apply
3h
Principal Engineer, Grid Insights Lead
Analog Devices —Glasnevin, County Dublin
- Full-time
- Computer Science
- Master's degree
- C++
Senior Cloud Networking Manager
eBay Inc. —Dublin, County Dublin
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
Senior Software Engineer, Cloud Security
Iambic Therapeutics, Inc —Dublin, County Dublin
- Full-time
- Hybrid work
- Master's degree
- AWS
- Bachelor's degree
7d
Senior ML Science Manager
Intercom —Dublin, County Dublin
- Hybrid work
- Doctoral degree
- Research
- Master's degree
- Annual leave
- Work from home
Data Engineering Lead
Wibit Consulting & Services (WibitCS) —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Java
Quick apply
6d
Engineering and Core Technology Manager, Security
Dolby —Dublin, County Dublin
- Computer Science
- Research
- Master's degree
Sr. Software Eng, Data Platforms
eBay Inc. —Dublin, County Dublin
- Full-time
- System design
- Java
- AI
Director of Data Engineering
2K —Dublin, County Dublin
- DevOps
- Data analysis skills
- AI
Quick apply
Data Platform Engineer
Verifone —Dublin, County Dublin
- On call
- Hybrid work
- DevOps
- AWS
- Scripting
Quick apply
21h

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Forward Deployed Engineer II, GCC (French, German)

Google -
Dublin, County Dublin

Apply Now

Job details

Full-time
€76,000–€78,000 a year
13 days ago

Qualifications

French
Spanish
Microsoft Excel
Law
Doctoral degree
Computer Science
DevOps
Engineering
Master's degree
Bachelor's degree
Software development
AI
Italian
Python
German

Full job description

Minimum qualifications:

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
1 year of experience with software development in one or more programming languages (e.g., Python)
Experience in Machine Learning, Natural Language Processing (NLP), generative AI agents, and DevOps.

Preferred qualifications:

Master’s or PhD in AI, Computer Science, or a related technical field.
Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
Proven ability to implement secure agentic workflows incorporating MCP, tool-calling, and OAuth-based authentication.
Fluent in French, Spanish, Italian or other European languages.

About the job

Google Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren’t just building technology; you’re shaping the frontier of enterprise and driving the evolution of advanced models.

As a GenAI Forward Deployed Engineer at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers.Unlike traditional advisory roles, you function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity. By embedding with strategic accounts, you serve a dual purpose: providing white glove deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.

It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Ireland: €76000 - €78000 (EUR) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

Lead the Discovery-to-Deployment Journey: Serve as the lead developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable ROI.
Bridge the Enterprise Gap: Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters.
Engineer for Production Excellence: Build high-performance evaluation (Eval) pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
Act as a Product Catalyst: Identify repeatable field patterns and technical friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
Upskill and Embed: Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Apply Now

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ai/machine learning engineer jobs in lusk, d

Forward Deployed Engineer II, GCC (French, German)

Senior Data Engineer

Automation Risk Lead

Senior Software Engineer

Principal Engineer, Grid Insights Lead

Senior Cloud Networking Manager

Senior Software Engineer, Cloud Security

Senior ML Science Manager

Data Engineering Lead

Engineering and Core Technology Manager, Security

Sr. Software Eng, Data Platforms

Director of Data Engineering

Data Platform Engineer

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