Find Data science_ ml Jobs in Dublin, D

AI/ML Associate Engineer
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Microsoft Excel
- Azure
- Computer Science
1d
EMEA Data & Digital Program Manager
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Master's degree
- SQL
5d
Principal Data Scientist
Optum —Dublin, County Dublin
- Full-time
- Computer Science
- Research
- Master's degree
Senior Data Scientist - Network Analytics & AI Enablement
Optum —Dublin, County Dublin
- Full-time
- Doctoral degree
- Master's degree
- SQL
Customer Engineer, SMB, Artificial Intelligence
Google —Dublin, County Dublin
- €80,000–€82,000 a year
- Full-time
- Computer Science
- Presentation skills
- Bachelor's degree
Senior Data Scientist
Verve —Dublin, County Dublin
- Doctoral degree
- Master's degree
- SQL
12d
Sr Machine Learning / AI Engineer / MLOps Engineer
Workday —Dublin, County Dublin
- €96,000–€144,000 a year
- Full-time
- Doctoral degree
- Computer Science
- System design
Staff Machine Learning Engineer
Adswizz —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Java
Senior Product Manager, AI / ML Solutions
Optum —Dublin, County Dublin
- Full-time
- Azure
- Doctoral degree
- Data analysis skills
Newly/Nearly qualified actuary
AXA —DUBLIN 1, County Dublin
- SQL
- Communication skills
- Python
6d
Full Stack Engineer
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- Engineering
Deployment Strategist - Polish Speking
Salesforce —Dublin, County Dublin
- Full-time
- Oracle
- Computer Science
- Sales
Vice President Data Science
Optum —Dublin, County Dublin
- Full-time
- Computer Science
- Master's degree
- AI
Data Architect
Version 1 —Dublin, County Dublin
- €80,000–€95,000 a year
- Full-time
- Hybrid work
- Azure
- Oracle
- AWS
- Employee assistance program
- Employee discount
Quick apply
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
Staff Machine Learning Engineer
Sirius XM —Dublin, County Dublin
- Full-time
- Remote
- Azure
- Computer Science
- Java
Senior Developer, Agentic AI Engineering
Workday —Dublin, County Dublin
- €86,400–€129,600 a year
- Full-time
- Computer Science
- Java
- Master's degree
Senior AI Engineer
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- AWS
Full Stack Engineer, Charles River Development, Assistant Vice President
State Street —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Java
Account Management, Associate Director - Healthcare Data & Technology
IQVIA —Dublin, County Dublin
- Full-time
- Master's degree
- Business development
- Bachelor's degree

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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

data science_ ml jobs in dublin, d

AI/ML Associate Engineer

EMEA Data & Digital Program Manager

Principal Data Scientist

Senior Data Scientist - Network Analytics & AI Enablement

Customer Engineer, SMB, Artificial Intelligence

Senior Data Scientist

Sr Machine Learning / AI Engineer / MLOps Engineer

Staff Machine Learning Engineer

Senior Product Manager, AI / ML Solutions

Newly/Nearly qualified actuary

Full Stack Engineer

Deployment Strategist - Polish Speking

Vice President Data Science

Data Architect

AI Software Engineer II (R-19524)

Staff Machine Learning Engineer

Senior Developer, Agentic AI Engineering

Senior AI Engineer

Full Stack Engineer, Charles River Development, Assistant Vice President

Account Management, Associate Director - Healthcare Data & Technology

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