Find Engineer ml platform Jobs in Dublin, D

AI/ML Associate Engineer
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Microsoft Excel
- Azure
- Computer Science
1d
AI Product Manager
iCims —DUBLIN 2, County Dublin
- Full-time
- Bachelor's degree
- No degree
- Product management
- Annual leave
- Life insurance
Software Engineering Manager
PlayStation Global —Dublin, County Dublin
- €96,900–€145,300 a year
- System design
- C++
- JavaScript
Quick apply
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
Lead Full Stack Engineer
Optum —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Engineering
Sr. Database Engineer, AWS DMS
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Oracle
- Java
- SQL
Software Development Manager, Network Monitoring and Remediation
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Engineering
- AWS
- Team management
Forward Deployed Engineer III, GCC (French, German)
Google —Dublin, County Dublin
- €100,000–€103,000 a year
- Full-time
- Spanish
- Microsoft Excel
- Doctoral degree
AI Engineering Manager
Flutter Entertainment —Dublin, County Dublin
- System design
- Master's degree
- AWS
Developer Advocate (Remote)
Percona —Dublin, County Dublin
- Full-time
- Remote
- Java
- JavaScript
- AI
- Annual leave
Senior Staff Machine Learning Scientist, Recommendations
Adswizz —Dublin, County Dublin
- Full-time
- Doctoral degree
- Java
- Master's degree
Senior Full Stack Engineer
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer science
- Microsoft Excel
- Azure
Director, Software Engineering
Mastercard —Dublin, County Dublin
- Full-time
- Computer Science
- Bachelor's degree
- No degree
Staff Machine Learning Engineer
Adswizz —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Java
Architect
TestReach —Dublin, County Dublin
- Azure
- Computer Science
- DevOps
Database Reliability Engineer
Starling —Dublin, County Dublin
- Full-time
- Hybrid work
- Java
- AWS
- Annual leave
- Life insurance
Quick apply
Principal Full Stack Software Engineer – eCommerce Platforms
Abbott Laboratories —Dublin, County Dublin
- Full-time
- Azure
- System design
- Java
11d
Senior Data Engineer — Lab Data Pipelines & Data Mesh (12 month FTC)
AstraZeneca —Dublin, County Dublin
- Computer Science
- Engineering
- Master's degree
2d
Principal Cybersecurity Architect
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- AWS
- Software development
- AI
5d
Senior Software Engineer - AI App Enablement & Observability
Bloomberg —Dublin, County Dublin
- Azure
- Master's degree
- AWS

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AI/ML Associate Engineer

JPMorganChase -
DUBLIN 2, County Dublin

Apply Now

Job details

Full-time
1 day ago

Qualifications

TensorFlow
CI/CD
Microsoft Excel
Azure
Law
Computer Science
Kubernetes
Data structures
C#
Spark
Java
Master's degree
Docker
Bachelor's degree
REST
AI
gRPC
Python

Full job description

JOB DESCRIPTION

The AI/ML Associate Engineer is a hands‑on software engineer who applies strong programming fundamentals to build, integrate, and support AI/ML solutions. The role focuses on writing production‑quality code while contributing to AI‑powered features, including (where applicable) solutions that leverage Microsoft 365 Copilot and Copilot Agents.

This role is ideal for engineers early in their AI/ML career who are solid coders and eager to work at the intersection of software engineering, applied ML, and enterprise AI platforms.

Key Responsibilities

Design, develop, test, and maintain production‑quality software supporting AI/ML solutions.
Implement and support AI‑enabled features using modern ML/LLM techniques, APIs, and services.
Contribute to Copilot‑enabled workflows (e.g., Teams, Outlook, Word, Excel) where applicable, including prompt refinement and agent‑based task automation.
Build and maintain backend services, APIs, and integrations that support AI/ML use cases.
Apply GenAI/LLM patterns: Build RAG pipelines, prompt management, evaluation harnesses, and safety mitigations. Integrate embeddings, vector stores, and caching strategies for latency/cost targets.
Participate in model integration and lifecycle activities: experimentation, evaluation, deployment, monitoring, and iteration. Instrument solutions for monitoring (quality, drift, bias, performance, cost).
Write unit tests, integration tests, and documentation to ensure reliability, security, and maintainability.
Collaborate closely with product managers, designers, and senior engineers to translate requirements into working solutions.
Follow enterprise standards for security, data handling, and governance when working with AI systems.

Required Qualifications

Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
Strong programming background, especially in Python and/or at least one of Java, C#, or similar.
Solid understanding of software engineering fundamentals: data structures, APIs, version control, testing, and CI/CD.
Working knowledge of AI/ML fundamentals (machine learning concepts, LLMs, embeddings, evaluation basics) and tooling (scikit-learn, XGBoost, PyTorch/TensorFlow, Pandas/Spark).
Experience building APIs/services (REST/gRPC), containerization (Docker), and orchestration (Kubernetes).
Exposure to MLOps practices: CI/CD, MLflow/Kubeflow, model registries, automated testing.

Preferred Qualifications

Experience using or integrating Microsoft 365 Copilot, Copilot Agents, or similar enterprise GenAI tools.
Exposure to prompt engineering, agent‑based workflows, or AI‑assisted productivity tools.
Familiarity with cloud platforms (Azure preferred), Power Platform, or Microsoft Graph integrations.
Experience supporting AI features in production systems.

ABOUT US

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

ABOUT THE TEAM

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Apply Now

Refine Your Search

engineer ml platform jobs in dublin, d

AI/ML Associate Engineer

AI Product Manager

Software Engineering Manager

Staff Product Manager - AI - 100% Remote - EMEA

Lead Full Stack Engineer

Sr. Database Engineer, AWS DMS

Software Development Manager, Network Monitoring and Remediation

Forward Deployed Engineer III, GCC (French, German)

AI Engineering Manager

Developer Advocate (Remote)

Senior Staff Machine Learning Scientist, Recommendations

Senior Full Stack Engineer

Director, Software Engineering

Staff Machine Learning Engineer

Architect

Database Reliability Engineer

Principal Full Stack Software Engineer – eCommerce Platforms

Senior Data Engineer — Lab Data Pipelines & Data Mesh (12 month FTC)

Principal Cybersecurity Architect

Senior Software Engineer - AI App Enablement & Observability

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