Find Engineer ml Jobs in Dunboyne, Mh

Data Analyst
iCims —DUBLIN 2, County Dublin
- Full-time
- Azure
- Computer Science
- Data analysis skills
- Annual leave
- Life insurance
Senior Software Engineer - Machine Learning (f/m/d)
Contentful —Dublin, County Dublin
- Full-time
- Remote
- Azure
- Master's degree
- AWS
- Annual leave
Backend Software Engineer, AI Platform
eBay Inc. —Dublin, County Dublin
- Full-time
- Computer Science
- Customer service
- Java
Applied AI / ML Lead Software Engineer — Employee Platforms
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Engineering
- Master's degree
- AWS
3d
Software Dev Engineer, AWS Database Migration Service
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Oracle
- Computer Science
- AWS
5d
ASIC Digital Design, Principal Engineer
Synopsys —Dublin, County Dublin
- Computer Science
- Engineering
- Bachelor's degree
Sr Applied Scientist
2K —Dublin, County Dublin
- Doctoral degree
- Master's degree
- SQL
Quick apply
AI Software Engineer II (R-19524)
Dun & Bradstreet —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- System design
- Master's degree
- Annual leave
Quick apply
Lead Machine Learning Engineer
DocuSign —Dublin, County Dublin
- Doctoral degree
- Computer Science
- Master's degree
Senior Data Engineer
Optum —Dublin, County Dublin
- Full-time
- Azure
- DevOps
- Data analysis skills
14d
Solution Architect
Sonalake —Dublin, County Dublin
- Hybrid work
- English
- Presentation skills
- Agile
Quick apply
Data Engineering Team Lead - Databricks
G MASS —Dublin, County Dublin
- Full-time
- Hybrid work
- SQL
- AWS
- Agile
Quick apply
Senior Core Technologies Engineer
Intercom —Dublin, County Dublin
- Hybrid work
- Annual leave
- Work from home
Technical Recruiter
ElevenLabs —Dublin, County Dublin
- Full-time
- Remote
- Research
- Recruiting
- Communication skills
Principal Data Product Engineer — Data Ontology & Metadata
AstraZeneca —Dublin, County Dublin
- Doctoral degree
- Computer Science
- Master's degree
12d
Staff/Senior Backend Engineer (Node.js)
Mimica —Dublin, County Dublin
- Full-time
- Remote
- English
- Analysis skills
- JavaScript
- Annual leave
- Work from home
5d
AI Architect (R-18541)
Dun & Bradstreet —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Annual leave
Quick apply
Product Manager
Kitman Labs —Dublin, County Dublin
- Full-time
- Hybrid work
- AI
- Communication skills
- Analytics
AI Engineer
Version 1 —Dublin, County Dublin
- €45,000–€55,000 a year
- Full-time
- Azure
- Oracle
- English
- Employee assistance program
- Employee discount
Quick apply
Director of AI Engineering
Mastercard —Dublin, County Dublin
- Full-time
- AI
- Communication skills
- Python

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Data Analyst

iCims -
DUBLIN 2, County Dublin

Apply Now

Job details

Full-time

Benefits

Annual leave
Life insurance

Qualifications

iCIMS
Power BI
Data modelling
Azure
Computer Science
NumPy
Data analysis skills
Google Cloud Platform
Tableau
SQL
AWS
Bachelor's degree
SaaS
AI
Communication skills
Python

Full job description

Dublin 2, Ireland
Analytics
Full Time
Hybrid (Remote / On Site)
6304

Job Overview

At iCIMS, we’re redefining how people connect with opportunity through intelligent, human-centered technology. Our Dublin AI Hub is the strategic center for innovation, where we’re building next-generation solutions powered by Generative AI (GenAI), Large Language Models (LLMs), agentic frameworks, and NLP-driven features.

As a Data Analyst, you’ll play a critical role in transforming raw data into actionable insights that guide AI development and product decisions. You’ll work closely with data scientists, engineers, and product teams to analyze performance metrics, monitor model behavior, and ensure data quality for advanced AI solutions. This role is ideal for someone who thrives at the intersection of analytics, AI innovation, and business impact.

This is a hybrid position based at Windmill Lane, Dublin 2, our strategic hub for AI development in Ireland.

About Us

ICIMS is a leading enterprise hiring platform that combines the scale and reliability of enterprise software with the transformative power of AI. Thousands of organizations across more than 200 countries and territories trust ICIMS to find and hire the people who shape their future and drive their business forward. Powered by insights from billions of hiring interactions, continuous AI innovation, and a highly extensible platform, ICIMS helps organizations turn talent acquisition into a competitive advantage. For more than 25 years, ICIMS has delivered end-to-end hiring solutions that improve recruiting efficiency, reduce costs and create exceptional candidate experiences.

ICIMS helps solve one of the biggest challenges businesses face today: building a workforce that can adapt, scale, and perform in an increasingly competitive and unpredictable talent market. We uniquely do that by combining enterprise-grade hiring technology, AI-powered insights and automation, and connected talent experiences to help organizations improve hiring outcomes while driving measurable impact.

Responsibilities

Analyze large, complex datasets to identify trends, anomalies, and opportunities for optimization in AI models and features.
Build dashboards and reports to monitor model performance, user engagement, and business KPIs.
Support data preparation and validation for ML/NLP model training, ensuring accuracy and completeness.
Collaborate with data scientists to design and implement evaluation metrics for LLMs, GenAI, and agentic frameworks.
Conduct statistical analysis and A/B testing to measure feature impact and guide product decisions.
Partner with engineering and product teams to ensure data integrity and governance across pipelines.
Document findings and communicate insights clearly to technical and non-technical stakeholders.

Qualifications

Bachelor’s degree in Data Analytics, Statistics, Computer Science, or related field.
2+ years of experience in data analysis, preferably in AI/ML or SaaS environments.
Strong proficiency in SQL, Python (Pandas, NumPy), and data visualization tools (Tableau, Power BI, or similar).
Solid understanding of statistics, hypothesis testing, and experiment design.
Experience working with large datasets and cloud platforms (AWS, Azure, or GCP).
Familiarity with ML concepts and evaluation metrics is a plus.
Excellent communication skills and ability to translate data insights into business recommendations.

EEO Statement

iCIMS is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at iCIMS.

We are proud to be an equal opportunity and affirmative action employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at [email protected].

Compensation and Benefits

iCIMS offers a comprehensive benefits package: medical, vision, and dental, life insurance, pensions, tuition reimbursement, lifestyle spending accounts, and generous paid time off plans (vacation, sick, parental leave). Learn more here: https://careers.icims.com/benefits

Apply Now

Refine Your Search

engineer ml jobs in dunboyne, mh

Data Analyst

Senior Software Engineer - Machine Learning (f/m/d)

Backend Software Engineer, AI Platform

Applied AI / ML Lead Software Engineer — Employee Platforms

Software Dev Engineer, AWS Database Migration Service

ASIC Digital Design, Principal Engineer

Sr Applied Scientist

AI Software Engineer II (R-19524)

Lead Machine Learning Engineer

Senior Data Engineer

Solution Architect

Data Engineering Team Lead - Databricks

Senior Core Technologies Engineer

Technical Recruiter

Principal Data Product Engineer — Data Ontology & Metadata

Staff/Senior Backend Engineer (Node.js)

AI Architect (R-18541)

Product Manager

AI Engineer

Director of AI Engineering

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