Find Machine learning engineer Jobs in Sandyford County Dublin

Consultant
LatentView Analytics —Dublin, County Dublin
- Master's degree
- SQL
- AI
Product Owner (Technical)
Revolut —Dublin, County Dublin
- Full-time
- Remote
- Communication skills
Senior Mobile Engineer
Nory —Dublin, County Dublin
- Full-time
- Hybrid work
- Hospitality
- Restaurant management
- English
- Annual leave
- Work from home
Software Dev Engineer - Embedded Development (Linux), AWS
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Java
- Master's degree
13d
GenAI / LLM Engineer - Ireland
Ergo —Dublin, County Dublin
- Full-time
- Computer Science
- English
- Master's degree
Lead MS Fabric Architect
NTT Ltd —Dublin, County Dublin
- Hybrid work
- AI
- Leadership
- Communication skills
EDA flow and Logic Synthesis Engineer (Senior Engineer)
Synopsys —Dublin, County Dublin
- Master's degree
- Bachelor's degree
- No degree
Associate Director, Digital Diagnostics & AI
AstraZeneca —Dublin, County Dublin
- Azure
- Doctoral degree
- Computer Science
10d
Senior AI/ML Engineer
Optum —Dublin, County Dublin
- Full-time
- Azure
- SQL
- Bachelor's degree
Senior Software Engineer - News Content Platform
Bloomberg —Dublin, County Dublin
- Computer Science
- System design
- Java
Okta on Okta Identity Architect
Okta —Dublin, County Dublin
- €128,000–€176,000 a year
- Annual leave
EMEA Data & Digital Program Manager
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Master's degree
- SQL
Senior Embedded Systems Design Engineer
Eaton —Dublin, County Dublin
- Computer Science
- System design
- C++
AI/ML Computational Scientist Manager
Accenture —Dublin, County Dublin
- Full-time
- Doctoral degree
- Computer Science
- Java
Senior Analytics Engineer
Optum —Dublin, County Dublin
- Full-time
- Computer Science
- Engineering
- Data analysis skills
11d
Growth Manager - EdTech (French fluent)
Paradox —Dublin, County Dublin
- Full-time
- Remote
- English
- Communication skills
Software Engineer - Observability
Microsoft —Dublin, County Dublin
- €63,400–€105,700 a year
- Full-time
- Azure
- Computer Science
- DevOps
Field Service - Early Career Engineers
Applied Materials —Leixlip, County Kildare
- €36,000–€49,500 a year
- Weekend availability
- Master's degree
- Bachelor's degree
- Hand tools
AI Applied Researcher
Accenture —Dublin, County Dublin
- Full-time
- Doctoral degree
- Computer Science
- Research
- Gym membership
Senior Data Engineer
Optum —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Windows
7d

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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

machine learning engineer jobs in sandyford county dublin

Consultant

Product Owner (Technical)

Senior Mobile Engineer

Software Dev Engineer - Embedded Development (Linux), AWS

GenAI / LLM Engineer - Ireland

Lead MS Fabric Architect

EDA flow and Logic Synthesis Engineer (Senior Engineer)

Associate Director, Digital Diagnostics & AI

Senior AI/ML Engineer

Senior Software Engineer - News Content Platform

Okta on Okta Identity Architect

EMEA Data & Digital Program Manager

Senior Embedded Systems Design Engineer

AI/ML Computational Scientist Manager

Senior Analytics Engineer

Growth Manager - EdTech (French fluent)

Software Engineer - Observability

Field Service - Early Career Engineers

AI Applied Researcher

Senior Data Engineer

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