Find Senior software engineer distributed Jobs in Ringsend, D

Senior AI/ML Computational Scientist
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eBay Inc. —Dublin, County Dublin
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eBay Inc. —Dublin, County Dublin
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Amazon Development Centre Ireland Limited —Dublin, County Dublin
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Senior Robotics Software Engineer, Payload Integration
Anduril Industries —Dublin, County Dublin
- Full-time
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Quick apply
AI Infrastructure Engineer
Intercom —Dublin, County Dublin
- Hybrid work
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Director of Business Operations
Horizon Quantum Computing —Dublin, County Dublin
- Full-time
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Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
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Engineering Director
Fiserv —Dublin, County Dublin
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MongoDB —Dublin, County Dublin
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Guidewire Software —Dublin, County Dublin
- Full-time
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Manager, Software Development, AWS In-Memory Databases
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
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Site Reliability Engineering Manager, Security - Apple Services Engineering
Apple —Dublin, County Dublin
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Lead SRE - Chase UK - Dublin
JPMorganChase —DUBLIN 2, County Dublin
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Senior Product Security Engineer, Server
MongoDB —Dublin, County Dublin
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Amazon Data Services Ireland Limited - A65 —Dublin, County Dublin
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Principal Software Engineer — Cloud Agentic AI Platform
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
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Senior Engineer, Network Observability
CoreWeave Europe —Dublin, County Dublin
- On call
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Senior AI/ML Computational Scientist

Accenture -
Dublin, County Dublin

Apply Now

Job details

Full-time
8 days ago

Qualifications

TensorFlow
Computer science
Law
Doctoral degree
Computer Science
R
Java
Master's degree
SQL
C++
Bachelor's degree
Distributed systems
Cloud computing
AI
Communication skills
Python

Full job description

Senior AI/ML Computational Scientist

Career Level: Senior Manager / Associate Director

YOU ARE

As a senior AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your spans the full solution lifecycle — assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and MLOps/LLMOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.

THE WORK

Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions

Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps

Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC

Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites

Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production

Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools

Justify the value of model approaches in business problems

Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production

EDUCATION

Bachelor's Degree or equivalent

BASIC (REQUIRED) QUALIFICATION

Significant experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing.

Extensive experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming

Well versed in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks

Established experience in building and deploying AI/ML based software to a cloud environment.

PREFERRED QUALIFICATION

Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).

Experience working with language models like LLM's APIs and optimizing their usage for specific applications.

Experience with the following programming languages: Python, C++, Java, R, SQL

Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders

Strong client-facing skillsets in a consulting environment

Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams

Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation

MS or PhD in related field preferred (computer science, engineering, etc.)

Apply Now

Refine Your Search

senior software engineer distributed jobs in ringsend, d

Senior AI/ML Computational Scientist

Senior Software Engineer - Fixed Income Derivatives

Sr. SDE, Distributed Databases

Sr. Engineer - Data Onboarding, NG-SIEM (Hybrid)

Senior Storage Software Engineer

Software Development Manager , AWS DMS

Senior Robotics Software Engineer, Payload Integration

AI Infrastructure Engineer

Director of Business Operations

Senior Applied Scientist, AWS Security

Engineering Director

Senior Data Scientist

Senior Product Security Engineer

Manager, Software Development, AWS In-Memory Databases

Site Reliability Engineering Manager, Security - Apple Services Engineering

Lead SRE - Chase UK - Dublin

Senior Product Security Engineer, Server

Senior Regional Environmental Manager – EMEA, AWS Environmental

Principal Software Engineer — Cloud Agentic AI Platform

Senior Engineer, Network Observability

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