Find Engineer ml Jobs in Dublin, D

Architect
TestReach —Dublin, County Dublin
- Azure
- Computer Science
- DevOps
Senior II Frontend Engineer
Ethyca —Dublin, County Dublin
- Full-time
- JavaScript
- AI
- Communication skills
Quick apply
Staff Forward Deployed Engineer
Intercom —Dublin, County Dublin
- Hybrid work
- JavaScript
- In-person
- Communication skills
- Annual leave
- Work from home
Director, Software Engineering
Mastercard —Dublin, County Dublin
- Full-time
- Computer Science
- Bachelor's degree
- No degree
Founding Full-Stack (Flutter and Java) Engineer
Grand Intelligence —Dublin, County Dublin
- Full-time
- Hybrid work
- Java
- AWS
- AI
Quick apply
Founding Backend Engineer (Java)
Grand Intelligence —Dublin, County Dublin
- Full-time
- Hybrid work
- Java
- AWS
- AI
Quick apply
Senior Staff Machine Learning Scientist, Recommendations
Adswizz —Dublin, County Dublin
- Full-time
- Doctoral degree
- Java
- Master's degree
AI Product Manager
iCIMS Talent Acquisition —DUBLIN 2, County Dublin
- Bachelor's degree
- No degree
- Product management
- Annual leave
- Life insurance
Sr. Technical Program Manager, AWS Manufacturing Operations
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Engineering
- AWS
7d
Lead Data Analytics & AI Engineer
ResMed —Dublin, County Dublin
- Computer Science
- System design
- Master's degree
- Referral programme
2d
Senior AI Engineer
Citco —Dublin, County Dublin
- Full-time
- AWS
- AI
- Communication skills
Senior Engineer, Applied AI
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- Master's degree
AI Software Engineer II (R-19524)
Dun & Bradstreet —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- System design
- Master's degree
- Annual leave
Quick apply
AI Engineer
Version 1 —Dublin, County Dublin
- €45,000–€55,000 a year
- Full-time
- Azure
- Oracle
- English
- Employee assistance program
- Employee discount
Quick apply
3h
AI & Intelligent Automation Consultant (Retail Banking)
NTT Ltd —Dublin, County Dublin
- Hybrid work
- Mentoring
- AI
- Leadership
Manager, Account Executives, Startups
Anthropic —Dublin, County Dublin
- €265,000–€310,000 a year
- Sales
- Analysis skills
- Bachelor's degree
14d
Head/Director of Product (AI Insights & Automation)
Mimica —Dublin, County Dublin
- Full-time
- Remote
- English
- AI
- Annual leave
- Work from home
Lead Software Engineer - AI
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- System design
- Java
Staff Site Reliability Engineer, Core Networking
Google —Dublin, County Dublin
- €150,000–€154,000 a year
- Full-time
- System design
- Bachelor's degree
- No degree
Staff Product Manager - AI - 100% Remote - EMEA
Hostaway —Dublin, County Dublin
- Full-time
- Remote
- Bachelor's degree
- Product management
- AI
- Annual leave
- Work from home
Quick apply

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Architect

TestReach -
Dublin, County Dublin

Apply Now

Job details

Qualifications

CI/CD
Azure
Computer Science
DevOps
Encryption
NoSQL
Google Cloud Platform
Master's degree
Microservices
SQL
AWS
Bachelor's degree
Distributed systems
SaaS
AI
Business

Full job description

Role Overview

The Architect at TestReach is responsible for defining and evolving the technical architecture of the TestReach platform, ensuring it is scalable, secure, resilient and aligned with long-term business objectives.

This role provides architectural leadership across engineering teams, guiding design decisions, reviewing implementations and ensuring consistency in standards and best practices. The Architect plays a critical role in balancing innovation, delivery speed, technical debt and long-term platform sustainability in a high-stakes online assessment environment.

This is a highly technical, hands-on role requiring deep architectural expertise and the ability to influence across distributed teams.

Key Responsibilities

Platform Architecture & Technical Strategy

Define and maintain the target architecture for the TestReach platform.
Establish architectural principles, standards and design patterns.
Ensure alignment between product strategy and technical direction.
Identify and mitigate architectural risks that may impact scalability or security.
Contribute to long-term technical roadmap planning.

Scalability, Reliability & Security

Ensure the platform supports high-volume, high-stakes exam sittings with strong uptime and performance.
Lead architectural decisions relating to performance, resilience and disaster recovery.
Embed security-by-design principles across systems.
Validate non-functional requirements (NFRs) including performance, availability, scalability and compliance.

Technical Leadership & Governance

Review and approve major technical designs and implementation approaches.
Provide guidance on complex architectural challenges and trade-offs.
Support engineering teams in resolving deep technical issues.
Promote consistency in engineering standards, documentation and code quality.
Help manage and reduce technical debt strategically.

Cloud & Infrastructure Architecture

Lead decisions relating to cloud architecture and infrastructure design.
Ensure best practices in CI/CD, observability, monitoring and deployment patterns.
Guide infrastructure scalability and automation strategies.
Evaluate and recommend tooling, frameworks and platforms.

Data & Integration Architecture

Define data architecture standards, including data flow, storage and governance.
Support integration architecture for enterprise clients and partner systems.
Ensure secure and efficient API design and external system connectivity.
Advise on data security, encryption and compliance requirements.

AI Architecture

Provide blueprint designs and strategic guidance on embedding AI/ML capabilities directly into our product suites, ensuring solutions are scalable, secure and seamlessly integrated into the core application logic.
Define the standards, rules and best practices for teams utilizing AI code generation tools (e.g., Cline, Open Router); mentor engineers on prompt engineering, code verification and maintaining high software quality in an AI-assisted development workflow.
Architect and oversee the integration of AI evaluation, automated testing and model validation steps directly into our CI/CD pipelines, ensuring safe, continuous and compliant deployment of both software and AI artifacts.
Act as the subject matter expert to upskill traditional software engineers in AI/ML concepts, bridging the gap between data science models and robust production-grade software engineering.
Establish architectural guardrails for monitoring AI performance, data privacy, model drift and cost optimization, coaching engineering teams on how to build observability into every AI-powered feature.

Collaboration & Cross-Functional Alignment

Work closely with Product, Engineering and Project Management to align architecture with delivery plans.
Act as a technical escalation point for complex design challenges.
Communicate architectural vision and decisions clearly to both technical and non-technical stakeholders.
Support pre-sales or enterprise discussions where architectural input is required.

Key Competencies and Skills

Ability to design long-term scalable solutions while enabling short-term delivery.
Deep technical credibility with the ability to influence engineering teams.
Strong understanding of distributed systems and platform design.
Identifies and mitigates architectural and operational risks proactively.
Works effectively across global, distributed teams.
Balances ideal architecture with business realities and timelines.

Experience and Qualifications

Education:

Bachelor's degree in Business, Computer Science, or a related field. A Master's degree is advantageous.

Experience:

8–10 years in software engineering, with significant experience in architectural roles.
Proven experience designing and evolving SaaS or cloud-native platforms.
Experience operating in high-availability, security-sensitive environments.
Strong background in distributed systems and scalable infrastructure.
Experience guiding engineering teams across multiple time zones or distributed structures.

Desirable

Experience in EdTech, secure testing platforms, or regulated SaaS environments.
Experience supporting enterprise-scale integrations.
Exposure to large-scale platform modernisation or transformation initiatives.

Technical Skills:

Deep knowledge of modern software architecture (microservices, event-driven systems, APIs).
Strong cloud architecture experience (AWS, Azure, or GCP).
Expertise in scalability, performance optimisation and resilience patterns.
Experience with CI/CD pipelines, infrastructure-as-code and DevOps practices.
Strong understanding of data architecture (SQL/NoSQL, caching, data pipelines).
Knowledge of security frameworks, encryption standards and compliance considerations.
Familiarity with observability, monitoring and performance tooling.

Apply Now

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engineer ml jobs in dublin, d