Find / llm engineer Jobs in Dublin, D

Consultant
LatentView Analytics —Dublin, County Dublin
- Master's degree
- SQL
- AI
Staff Software Engineer, Inference
Anthropic —Dublin, County Dublin
- €295,000–€355,000 a year
- Master's degree
- AWS
- Bachelor's degree
Senior AI Engineer
Sonatus —Dublin, County Dublin
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
Quick apply
Senior Data Engineer
ZoomInfo Technologies LLC —Dublin, County Dublin
- On call
- Remote
- Computer Science
- Master's degree
- SQL
Epic Engineer
T-Pro —Dublin, County Dublin
- Full-time
- Hybrid work
- Master's degree
- AWS
- Epic
Quick apply
Senior Product Engineer - Supply Team
WeTravel —Dublin, County Dublin
- Full-time
- Remote
- English
- Java
- Master's degree
- Annual leave
- Work from home
AI Architect (R-18541)
Dun & Bradstreet —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Annual leave
Quick apply
Senior Backend Engineer, Integrations - 100% Remote - EMEA
Hostaway —Dublin, County Dublin
- Full-time
- Remote
- Master's degree
- AWS
- Annual leave
- Work from home
Quick apply
14d
Senior QA Automation Engineer (AI-First)
News Corp —Dublin, County Dublin
- Master's degree
- SQL
- AWS
AI Infrastructure Engineer
Intercom —Dublin, County Dublin
- Hybrid work
- Computer Science
- Java
- Master's degree
- Work from home
AI/ML Computational Scientist Manager
Accenture —Dublin, County Dublin
- Full-time
- Doctoral degree
- Computer Science
- Java
Head of Responsible AI- Vice President
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Microsoft Excel
- Doctoral degree
- Computer Science
Senior Developer
Fiserv —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AWS
Applied AI / ML Lead Software Engineer
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Engineering
- Master's degree
- AWS
Senior Engineer, Applied AI
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- Master's degree
Principal Engineer - Product Group Engineering Modernisation & AI Adoption
U.S. Bank National Association —DUBLIN 18, County Dublin
- €117,980–€138,800 a year
- Full-time
- Azure
- Computer Science
- Engineering
Senior AI/ML Computational Scientist
Accenture —Dublin, County Dublin
- Full-time
- Computer science
- Doctoral degree
- Computer Science
8d
Director, Applied AI Product Manager
The Bank of New York Mellon Corporation —Dublin, County Dublin
- Full-time
- Master's degree
- Product management
- AI
13d
AI & Data - Forward Deployed AI Engineer, Senior Manager
EY —DUBLIN 2, County Dublin
- Full-time
- Hybrid work
- Azure
- System design
- Master's degree
- Gym membership
Senior Platform Engineer
Autodesk —Dublin, County Dublin
- €71,000–€104,500 a year
- Full-time
- Computer Science
- DevOps
- System design

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Consultant

LatentView Analytics -
Dublin, County Dublin

Apply Now

Job details

Permanent

Qualifications

CI/CD
Law
Master's degree
SQL
AI
Leadership
Python

Full job description

LatentView Analytics is a leading global analytics and decision sciences provider, delivering solutions that help companies drive digital transformation and use data to gain a competitive advantage. With analytics solutions that provide a 360-degree view of the digital consumer, fuel machine learning capabilities, and support artificial intelligence initiatives., LatentView Analytics enables leading global brands to predict new revenue streams, anticipate product trends and popularity, improve customer retention rates, optimize investment decisions, and turn unstructured data into valuable business assets.

Designation : Consultant

Location : Dublin, Dublin , Ireland

Experience : 4 to 10 years

Job Role :

We are seeking an experienced AI & Data Engineering Resource Capability Specialist to lead workforce strategy, skill capability mapping, and resource management for our growing AI, Machine Learning, and Data Engineering practices.

In this role, you will sit at the intersection of technical delivery and strategic operations. You will be responsible for ensuring our projects have the right technical talent assigned at the right time, while actively designing learning paths to upskill teams on emerging technologies (LLMs, GenAI, MLOps, modern data stacks)

Responsibilities :

1. Technical Delivery & Project Execution

Delivery Oversight: Act as the technical anchor across active AI and Data Engineering engagements, ensuring architecture, data pipelines, and AI models meet quality standards and performance benchmarks.

Technical Risk Mitigation: Identify technical bottlenecks, data governance risks, and deployment blockers early in the project lifecycle, collaborating with engineering leads to implement fast solutions.

Standards & Best Practices: Enforce modern engineering frameworks across project teams, including CI/CD for ML (MLOps), code reviews, data testing, security protocols, and ethical AI standards.

2. Project Planning & Technical Scoping

Technical Roadmapping: Translate client business requirements into concrete AI and Data Engineering project plans, deliverables, technical milestones, and sprint backlogs.

Resource Architecture: Determine the exact technical skill mix, team topology, and tool stack needed to successfully execute specific project scopes.

Feasibility & Solutioning: Work with project leads during inception to validate technical feasibility, assess data maturity, and select appropriate platforms (e.g., cloud stack, vector databases, LLM orchestration frameworks).

3. Team Leadership, Mentorship & Technical Guidance

Hands-on Guidance: Provide day-to-day technical direction to Data Engineers, ML Engineers, and AI Developers, helping them solve complex architecture, ETL, and modeling challenges.

Code & Architecture Reviews: Lead technical reviews to ensure pipelines, API integrations, and AI models are scalable, efficient, and maintainable.

Team Empowerment: Establish a culture of technical excellence, psychological safety, and innovation, guiding the team through complex technical transitions (e.g., migrating to GenAI/RAG architectures).

4. Upskilling & Technical Capability Development

Technical Learning Frameworks: Design and lead structured technical upskilling programs to transition traditional Data Engineers into Modern Data & GenAI/ML Engineers.

Hands-on Labs & POCs: Drive internal technical initiatives, hackathons, and Proof-of-Concepts (POCs) to give engineers practical experience with emerging tools (e.g., LangChain, LlamaIndex, Databricks, Snowflake, MLOps tooling).

Certifications & Skill Progression: Establish clear technical competency paths and mentor team members through cloud platform, data engineering, and AI/ML industry certifications.

Required skills :

DE, AI strategy analyst (Python, SQL, AI Tools & Infra)

At LatentView Analytics, we value a diverse, inclusive workforce and provide equal employment opportunities for all applicants and employees. All qualified applicants for employment will be considered without regard to an individual's race, colour, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws.

Job Snapshot

Updated Date

17-08-2026

Job ID

J_5666

Location

Dublin, Dublin, Ireland

Experience

4 - 10 Years

Employee Type

Permanent

Apply Now

Refine Your Search

/ llm engineer jobs in dublin, d

Consultant

Staff Software Engineer, Inference

Senior AI Engineer

Senior Data Engineer

Epic Engineer

Senior Product Engineer - Supply Team

AI Architect (R-18541)

Senior Backend Engineer, Integrations - 100% Remote - EMEA

Senior QA Automation Engineer (AI-First)

AI Infrastructure Engineer

AI/ML Computational Scientist Manager

Head of Responsible AI- Vice President

Senior Developer

Applied AI / ML Lead Software Engineer

Senior Engineer, Applied AI

Principal Engineer - Product Group Engineering Modernisation & AI Adoption

Senior AI/ML Computational Scientist

Director, Applied AI Product Manager

AI & Data - Forward Deployed AI Engineer, Senior Manager

Senior Platform Engineer

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