Find Machine learning engineer Jobs in Dublin County Dublin

Principal Engineer, Grid Insights Lead
Analog Devices —Glasnevin, County Dublin
- Full-time
- Computer Science
- Master's degree
- C++
12h
Data Analytics and AI Team Lead
Spanish Point Technologies —Clontarf, County Dublin
- Spanish
- Azure
- Computer Science
Cloud Support Consultant
Codec —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Oracle
- DevOps
Quick apply
Senior Data Engineer
The Irish Times —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
- Gym membership
Quick apply
13d
Engineering and Core Technology Manager, Security
Dolby —Dublin, County Dublin
- Computer Science
- Research
- Master's degree
Senior Product Manager, GenAI Content Safety
Google —Dublin, County Dublin
- Full-time
- Master's degree
- Bachelor's degree
- No degree
2d
Principal Data Scientist
iCims —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- Research
- Master's degree
- Annual leave
- Life insurance
ASIC Digital Design Architect
Synopsys —Dublin, County Dublin
- Leadership
- Communication skills
Senior ML Science Manager
Intercom —Dublin, County Dublin
- Hybrid work
- Doctoral degree
- Research
- Master's degree
- Annual leave
- Work from home
Senior Analyst - Credit Risk & Eligibility
M-KOPA —Dublin, County Dublin
- Full-time
- Remote
- SQL
- Communication skills
- Python
VacancyTitle: Maintenance Manager
Pilgrim’s Europe —Dublin, County Dublin
- Full-time
- Maintenance
- Master's degree
- Continuous improvement
1d
Senior Azure DevOps Engineer (MLOps)
Version 1 —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Oracle
- Computer Science
- Employee assistance program
- Employee discount
Quick apply
Enterprise Account Executive, Growth & Acquisition
Pluralsight —Dublin, County Dublin
- Full-time
- Sales
- Master's degree
- Business development
- Annual leave
VP of Quantum Software Engineering
Equal1 —Dublin, County Dublin
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Quick apply
Model Risk and Validation Lead
Meta —Dublin, County Dublin
- SQL
- AI
- Leadership
4h

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Principal Engineer, Grid Insights Lead

Analog Devices -
Glasnevin, County Dublin

Apply Now

Job details

Full-time
12 hours ago

Qualifications

Computer Science
Master's degree
C++
C
Computer Engineering
Communications
Data collection
Electrical Engineering
Leadership
Communication skills
Python
Debugging

Full job description

About Analog Devices

Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X .

Job Description

Position Overview

If you are excited by the opportunity to work at the intersection of customer engagement, field deployment, and cutting-edge insights solutions, being a Grid Insights Application Engineer at Analog Devices offers a unique opportunity to make a direct impact in the fast-growing energy space. You will be the liaison between our customers, test sites, and ADI’s machine learning, software, and systems engineering teams working to solve the hardest problems in energy and on the distribution grid.

This is a cross-functional position bringing hardware, software, data, and algorithms together in real-world customer environments. The role spans hands-on field experimentation, data collection, deployment, field debugging of software and data pipelines, and support for algorithms and insight modules from trial through production deployment. You will help solve complex cross-stack challenges, improve solution performance, and turn customer requirements and field observations into actionable engineering outcomes. This role is ideal for someone with strong technical breadth, a bias for hands-on execution, and a passion for translating innovation into real customer value.

Key Responsibilities

Deploy and support hardware platforms in the field to enable experimentation, data capture, and customer evaluations.
Configure, validate, and debug software and data pipelines used for insights generation, field trials, and customer deployments.
Deploy, test, and troubleshoot insight modules and algorithmic solutions in ADI labs and at customer sites.
Partner closely with machine learning, software, and systems engineering teams to diagnose issues, improve solution performance, and define technical next steps.
Translate customer requirements, deployment feedback, and field observations into actionable recommendations for product and solution improvement.
Resolve complex cross-stack issues spanning hardware, software, data, and algorithms in customer-facing environments.
Support field trials and production deployments with strong technical execution, communication, and customer focus.

Qualifications

Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, or a related field, with 6+ years of relevant industry experience , or equivalent combination of education and experience.
Demonstrated experience spanning hardware, software, and algorithm development , with the ability to work effectively across disciplines.
Strong hands-on experience with field deployment, experimentation, or applied engineering in real-world environments.
Solid foundation in signal processing, machine learning , and algorithms ,
Experience building, deploying, and debugging data acquisition and processing pipelines .
Experience with embedded systems, sensing platforms, or small-scale hardware deployments , including system bring-up, instrumentation, and data collection.
Proficiency in Python, C/C++, or similar languages for prototyping, debugging, and deployment support.
Experience in an Applications Engineer , customer-facing engineering, or technical customer experience role
Excellent communication and collaboration skills, with the ability to succeed in fast-paced, customer-driven environments .
Ability to operate independently in ambiguous environments while providing strong technical leadership and execution.
Experience with electrical grids, power systems a plus

Requirements:

This role may require occasional travel to customer sites, ADI locations, or partner facilities. (20%)

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

Job Req Type: Experienced

Required Travel: Yes, 10% of the time

Shift Type: 1st Shift/Days

Apply Now

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machine learning engineer jobs in dublin county dublin

Principal Engineer, Grid Insights Lead

Data Analytics and AI Team Lead

Cloud Support Consultant

Senior Data Engineer

Engineering and Core Technology Manager, Security

Senior Product Manager, GenAI Content Safety

Principal Data Scientist

ASIC Digital Design Architect

Senior ML Science Manager

Senior Analyst - Credit Risk & Eligibility

VacancyTitle: Maintenance Manager

Senior Azure DevOps Engineer (MLOps)

Enterprise Account Executive, Growth & Acquisition

VP of Quantum Software Engineering

Model Risk and Validation Lead

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