Find Ai/ml engineer Jobs in Sandyford County Dublin

Consultant
LatentView Analytics —Dublin, County Dublin
- Master's degree
- SQL
- AI
11d
Growth Account Executive, Startups
Anthropic —Dublin, County Dublin
- €155,000–€205,000 a year
- Sales
- Bachelor's degree
- Continuous improvement
5d
System Development Engineer II, Enterprise Productivity MailBoxCore Team
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- DevOps
- Java
Business Support Engineer
Meta —Dublin, County Dublin
- Weekend availability
- Master's degree
- SQL
- JavaScript
ASIC Digital Design, Principal Engineer
Synopsys —Dublin, County Dublin
- Computer Science
- Engineering
- Bachelor's degree
Senior Core Technologies Engineer
Intercom —Dublin, County Dublin
- Hybrid work
- Work from home
Senior Forward Deployed Engineer
Intercom —Dublin, County Dublin
- Hybrid work
- JavaScript
- In-person
- Communication skills
- Work from home
Architect
TestReach —Dublin, County Dublin
- Azure
- Computer Science
- DevOps
Partner Solutions Architect
Nebius —Dublin, County Dublin
- Remote
- Azure
- AWS
- AI
Quick apply
Senior Staff Engineer
StoneX Group —Dublin, County Dublin
- Azure
- Computer Science
- English
Senior Data Scientist
MongoDB —Dublin, County Dublin
- Hybrid work
- Azure
- Master's degree
- AWS
1d
Sr. SDE, Amazon Email Services
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Java
- AWS
Lead Software Engineer
Mastercard —Dublin, County Dublin
- Full-time
- Computer Science
- System design
- Master's degree
Solutions Engineer (Dublin)
Crusoe —Dublin, County Dublin
- Full-time
- Azure
- AWS
- Linux
Quick apply
Senior Cloud Support Engineer
Crusoe —Dublin, County Dublin
- Full-time
- Azure
- Management
- Computer Science
Quick apply
Senior Technical Consultant
Asana —Dublin, County Dublin
- €105,000–€119,000 a year
- Sales
- AI
- Python
- Work from home
Quick apply
12d
Senior MLOps Engineer
MUFG Investor Services —Dublin, County Dublin
- Full-time
- DevOps
- AWS
- AI
Quick apply
Principal Verification Engineer
Microchip Technology —Dublin, County Dublin
- Full-time
- Master's degree
- C++
- Bachelor's degree
9d
Senior Engineering Manager, Customer Agent
Intercom —Dublin, County Dublin
- Hybrid work
- Sales
- AI
- Work from home
Safety & Security Counsel, EMEA
Anthropic —Dublin, County Dublin
- €210,000–€280,000 a year
- Hybrid work
- Bachelor's degree
- AI
- Communication skills
- Employee assistance program
1d

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Consultant

LatentView Analytics -
Dublin, County Dublin

Apply Now

Job details

Permanent
11 days ago

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

ai/ml engineer jobs in sandyford county dublin

Consultant

Growth Account Executive, Startups

System Development Engineer II, Enterprise Productivity MailBoxCore Team

Business Support Engineer

ASIC Digital Design, Principal Engineer

Senior Core Technologies Engineer

Senior Forward Deployed Engineer

Architect

Partner Solutions Architect

Senior Staff Engineer

Senior Data Scientist

Sr. SDE, Amazon Email Services

Lead Software Engineer

Solutions Engineer (Dublin)

Senior Cloud Support Engineer

Senior Technical Consultant

Senior MLOps Engineer

Principal Verification Engineer

Senior Engineering Manager, Customer Agent

Safety & Security Counsel, EMEA

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