Find machine learning engineer Jobs in dublin, d

Network Engineer, Operations & Support
Meta —Dublin, County Dublin
- On call
- JavaScript
- AI
- Python
Staff Engineering Analyst
Google —Dublin, County Dublin
- Full-time
- Engineering
- Data analysis skills
- SQL
2d
Lead AI engineer
Mastercard —Dublin, County Dublin
- Full-time
- System design
- Master's degree
- AI
Capacity Planning Manager, CDP EMEA
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- AWS
- Leadership
- Analytics
Principal Data Scientist
Optum —Dublin, County Dublin
- Full-time
- Computer Science
- Research
- Master's degree
Quantitative Development - DevOps Engineer
Millennium Management —Dublin, County Dublin
- DevOps
- Research
- Linux
Lead Software Engineer (Backend)
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- System design
- Agile
- SDLC
1d
Sr.Quality Assurance Engineer (European Language Expert), Alexa Global Quality Team
Amazon Development Centre Ireland Limited - D94 —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- C++
4d
Ads Solutions Engineer, gTech
Google —Dublin, County Dublin
- Full-time
- Computer Science
- Windows
- Master's degree
Senior Analyst - Credit Risk & Eligibility
M-KOPA —Dublin, County Dublin
- Full-time
- Remote
- SQL
- Communication skills
- Python
Senior ML Science Manager
Intercom —Dublin, County Dublin
- Hybrid work
- Doctoral degree
- Research
- Master's degree
- Annual leave
- Work from home
VacancyTitle: Maintenance Manager
Pilgrim’s Europe —Dublin, County Dublin
- Full-time
- Maintenance
- Master's degree
- Continuous improvement
3d
VP of Quantum Software Engineering
Equal1 —Dublin, County Dublin
- Full-time
- Doctoral degree
- Computer Science
- Engineering
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Network Engineer, Operations & Support

Meta -
Dublin, County Dublin

Apply Now

Job details

Qualifications

Backbone.js
Go
JavaScript
Predictive analytics
AI
Python
Juniper

Full job description

Meta's Edge & Network Service team is actively looking for people to help us tackle the unique set of challenges and opportunities we face, while contributing to our company mission of connecting the world. Our team is the execution arm of the Meta network team and is responsible for the operations and support of all production networks (Edge, Backbone, Optical, and Labs) as well as our Content Delivery Network across the globe. This truly global team offers a unique career opportunity to work with all of the latest network technologies and engineers solving some of the most complex problems in the industry.

Network Engineer, Operations & Support Responsibilities:

Incident Response: Drive work investigating complex technical and process issues on a global scale spanning multiple reliability, security, and continuity disciplines for infrastructure spanning thousands of locations during major incidents/site events on edge, caching, and network infrastructure. This will require you to work closely and effectively with a variety of cross functional teams, managed service providers, and third-party vendor partners
Escalation Management: Participate in the global team’s Tier 3 and 4 on-call rotation with the goal of routing issues as needed and understanding how processes or tooling might be improved, skills can be developed, or automation can be implemented to prevent the need to escalate similar issues in the future
Risk Management and Assurance: Work internally and with upstream partner teams to ensure design, build, and operations aligns to applicable reliability, security, privacy, regulatory policy, and business continuity drivers
Information and Data Assurance: ensure relevant operational process, procedure, and policy documentation is effectively managed and the data required to support operations is complete and accurate in systems
Automation: Be heavily involved in driving the team to analyze operational events in order to identify new automation opportunities and help us achieve our goal of all faults in the network being fully remediated by software. This will include helping others understand our requirements and drive their roadmaps, but may include directly implementing light weight solutions in code
Data Measurement: As an operations practitioner supporting our network, you will be expected to drive quality into the metrics we report to assist us in focusing on the areas that give us the best return on investment. This could include measurement and analysis of our escalation issues, fault/event trends, infrastructure capacity, and vendor performance failures
Operational Leadership: As an operations practitioner within the team you will be expected to drive improvement in everything we do. In this role you will indirectly manage the activities of a large contingent workforce responsible for delivering road mapped projects and executing on recurring activities. You will drive standards across the network and ensure that we are fully compliant to those standards and policies

Minimum Qualifications:

Vendor Partner Experience: Minimum of 10 years experience partnering to translate performance issues into improvement plans with enterprise and service provider vendors such as network hardware platforms(Cisco, Juniper, Ciena, Infinera, Nokia, and Arista), ITAD vendors, logistics vendors, and colocation vendors
Business Metrics: Experience identifying key metrics/measures that will be used to evaluate success and validate the business impact of the program
Partnership: Experience successfully collaborating across a global team and with cross-functional partners(e.g. physical infrastructure & network design, engineering, strategy, security, policy, and legal) at all levels to include vendor service delivery managers, individual contributors, and people managers
Prioritization: Experience managing from the front to prioritize and drive the bigger mission forward by translating strategy into results
Automation: Basic knowledge coding and automating in higher-level languages such as Python, Go, or JavaScript

Preferred Qualifications:

Repair Function: 5 years of logical troubleshooting and physical repair with an understanding of physical infrastructure such as cable types, connector types, optic types, racks, patch panels, power/cooling, hardware components, and facility infrastructure
Software Systems Practitioner: Knowledge and direct experience organizing and executing digital transformation initiatives at the practitioner level
Data Design: Basic knowledge applying data led analysis and leveraging technologies like machine learning and predictive modeling algorithms to solve complex business problems
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Apply Now

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machine learning engineer jobs in dublin, d

Network Engineer, Operations & Support

Staff Engineering Analyst

Lead AI engineer

Capacity Planning Manager, CDP EMEA

Principal Data Scientist

Quantitative Development - DevOps Engineer

Lead Software Engineer (Backend)

Sr.Quality Assurance Engineer (European Language Expert), Alexa Global Quality Team

Ads Solutions Engineer, gTech

Senior Analyst - Credit Risk & Eligibility

Senior ML Science Manager

VacancyTitle: Maintenance Manager

VP of Quantum Software Engineering

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