Find ml science manager Jobs in dublin, d

Software Engineering Manager, Site Reliability Engineering, AI Security
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Tether Operations Limited —Dublin, County Dublin
- Full-time
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- English
Data Scientist - Credit Eligibility
M-KOPA —Dublin, County Dublin
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Model Risk and Validation Lead
Meta —Dublin, County Dublin
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1d
Senior Clinical Data Analyst
Teckro Limited —Dublin, County Dublin
- Full-time
- Hybrid work
- Microsoft Excel
- Data analysis skills
- Master's degree
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Quick apply
AI & Data - Data Science & AI - Senior Consultant
EY —DUBLIN 2, County Dublin
- Full-time
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Full Stack Engineer
EXL Service —Dublin, County Dublin
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Detection Engineer
DocuSign —Dublin, County Dublin
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Full Stack Engineer, Charles River Development, Assistant Vice President
State Street —DUBLIN 2, County Dublin
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Sonatus —Dublin, County Dublin
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EPAM Systems, Inc. —Dublin, County Dublin
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MongoDB —Dublin, County Dublin
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PwC —Dublin, County Dublin
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Amazon Web Services EMEA SARL (Irish Branch) —Dublin, County Dublin
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Software Engineering Manager, Site Reliability Engineering, AI Security

Google -
Dublin, County Dublin

Apply Now

Job details

Full-time

Qualifications

Computer Science
System design
Master's degree
Bachelor's degree
Distributed systems
Software development
Security
AI

Full job description

Minimum qualifications:

Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
8 years of experience with software development in one or more programming languages.
3 years of experience managing people or teams.
3 years of experience leading projects.
3 years of experience designing, analyzing, and troubleshooting distributed systems.

Preferred qualifications:

Master's degree in Computer Science or Engineering.
Experience in designing and implementing security controls for agentic workloads and AI-driven workflows.
Strong foundation in security principles and risk management, with the ability to identify systemic risks in emerging AI/ML ecosystems.

About the job

Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Google's services—both our internally critical and our externally-visible systems—have reliability, uptime appropriate to users' needs and a fast rate of improvement. Additionally SRE’s will keep an ever-watchful eye on our systems capacity and performance.

Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. On the SRE team, you’ll have the opportunity to manage the complex challenges of scale which are unique to Google, while using your expertise in coding, algorithms, complexity analysis and large-scale system design.

SRE's culture of intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.

To learn more: check out our books on Site Reliability Engineering or read a career profile about why a Software Engineer chose to join SRE.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Responsibilities

Lead, manage, and grow a talented team of SREs dedicated to secure-by-default principle.
Define and execute the technical goal, strategy, and roadmap for addressing top security risks across Cloud AI products and infrastructure.
Lead by example, mentor the team and establish credibility through quality technical execution.
Manage and take part in on-call rotations across continents, using a follow-the-sun model.
Design, write and deliver software to improve the availability, scalability, latency and efficiency of Google's services.

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

Refine Your Search

ml science manager jobs in dublin, d

Software Engineering Manager, Site Reliability Engineering, AI Security

Senior Data Scientist & Project Lead, AI (Senior Manager)

Senior Developer, Agentic AI Engineering

Developer Relations AI (100% remote)

Data Scientist - Credit Eligibility

Model Risk and Validation Lead

Senior Clinical Data Analyst

AI & Data - Data Science & AI - Senior Consultant

Full Stack Engineer

Detection Engineer

Full Stack Engineer, Charles River Development, Assistant Vice President

Manager, Engineering (Backend Development)

Product Management Leader – AI Portfolio

Senior Product Manager, AI Builders Experience

Power Platform Architect, Senior Manager (Data & AI)

Senior Enterprise Account Manager, AGS Ireland/NI (Cross Industries)

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