Find Machine learning engineer Jobs in Sandyford County Dublin

Consultant
LatentView Analytics —Dublin, County Dublin
- Master's degree
- SQL
- AI
14d
Software Engineer Train AI (Mid-Level)
RWS Group —Dublin, County Dublin
- Full-time
- Microsoft Excel
- No degree
- AI
1d
AI Research Engineer (Pre-training - LLM & Multi-Modal)
Tether Operations Limited —Dublin, County Dublin
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
Senior Machine Learning Scientist
Intercom —Dublin, County Dublin
- Hybrid work
- Doctoral degree
- Research
- Master's degree
- Work from home
Senior AI Engineer
Citco —Dublin, County Dublin
- Full-time
- AWS
- AI
- Communication skills
Lead Machine Learning Engineer
DocuSign —Dublin, County Dublin
- Doctoral degree
- Computer Science
- Master's degree
Senior Solutions Engineer,Auth0
Okta —Dublin, County Dublin
- €104,000–€143,000 a year
- Sales
- Java
- Presentation skills
Quick apply
Senior Staff Machine Learning Scientist, Recommendations
Sirius XM —Dublin, County Dublin
- Full-time
- Remote
- Doctoral degree
- Java
- Master's degree
Software Engineer 3
Lam Research —Dublin, County Dublin
- Full-time
- Doctoral degree
- Software troubleshooting
- DevOps
GenAI / LLM Engineer - Ireland
Ergo —Dublin, County Dublin
- Full-time
- Computer Science
- English
- Master's degree
Staff Machine Learning Engineer
Sonatus —Dublin, County Dublin
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
- Work from home
Quick apply
Senior AI Engineer
UL Solutions —Dublin, County Dublin
- €230,000–€250,000 a year
- Azure
- Computer Science
- DevOps
- Annual leave
6d
Sr Machine Learning Engineer
paypal —Dublin, County Dublin
- Full-time
- Azure
- Engineering
- Java
- Annual leave
Senior Data Engineer
GridBeyond —DUBLIN 24, County Dublin
- Full-time
- Azure
- Computer Science
- Engineering
Project Engineering Management, Sr Staff Engineer
Synopsys —Dublin, County Dublin
- Microsoft Excel
- Engineering
- Master's degree
EDA flow and Logic Synthesis Engineer (Senior Engineer)
Synopsys —Dublin, County Dublin
- Master's degree
- Bachelor's degree
- No degree
Okta on Okta Identity Architect
Okta —Dublin, County Dublin
- €128,000–€176,000 a year
- Annual leave
Marketing Manager - EdTech (French fluent )
Paradox —Dublin, County Dublin
- Full-time
- Remote
- Management
- English
- Communication skills
Associate Director, Digital Diagnostics & AI
AstraZeneca —Dublin, County Dublin
- Azure
- Doctoral degree
- Computer Science
8d
Senior Data Engineer
Optum —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Windows
5d

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Consultant

LatentView Analytics -
Dublin, County Dublin

Apply Now

Job details

Permanent
14 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

machine learning engineer jobs in sandyford county dublin

Consultant

Software Engineer Train AI (Mid-Level)

AI Research Engineer (Pre-training - LLM & Multi-Modal)

Senior Machine Learning Scientist

Senior AI Engineer

Lead Machine Learning Engineer

Senior Solutions Engineer,Auth0

Senior Staff Machine Learning Scientist, Recommendations

Software Engineer 3

GenAI / LLM Engineer - Ireland

Staff Machine Learning Engineer

Senior AI Engineer

Sr Machine Learning Engineer

Senior Data Engineer

Project Engineering Management, Sr Staff Engineer

EDA flow and Logic Synthesis Engineer (Senior Engineer)

Okta on Okta Identity Architect

Marketing Manager - EdTech (French fluent )

Associate Director, Digital Diagnostics & AI

Senior Data Engineer

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