Find Data science_ ml Jobs in Dublin, D

AI/ML Associate Engineer
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Microsoft Excel
- Azure
- Computer Science
6d
Research Engineer: Machine Learning and Knowledge Representation for Biodata
Accenture —Dublin, County Dublin
- Full-time
- Computer Science
- English
- Research
Software Development Engineer, ML Navigators
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- System design
- Java
3d
Practice Lead - Data Science_ ML
Infosys —Dublin, County Dublin
- Azure
- Doctoral degree
- Marketing
Product Manager, AI/ML Solutions
Optum —Dublin, County Dublin
- Full-time
- Microsoft Excel
- Computer Science
- Data analysis skills
EMEA Data & Digital Program Manager
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Master's degree
- SQL
9d
Senior Data Scientist - Network Analytics & AI Enablement
Optum —Dublin, County Dublin
- Full-time
- Doctoral degree
- Master's degree
- SQL
AI Engineer 2
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- AWS
2d
Sr Machine Learning Engineer
paypal —Dublin, County Dublin
- Full-time
- Azure
- Java
- Master's degree
- Annual leave
Principal Data Scientist
Optum —Dublin, County Dublin
- Full-time
- Computer Science
- Research
- Master's degree
Product Technology Manager, Shopping Partner Engineering and APIs
Google —Dublin, County Dublin
- €90,000–€92,500 a year
- Full-time
- Computer Science
- Engineering
- Java
1d
Staff Product Engineer, AI
Intercom —Dublin, County Dublin
- Hybrid work
- Computer Science
- Bachelor's degree
- JavaScript
- Annual leave
- Work from home
Senior Data Scientist & Project Lead, AI (Senior Manager)
PwC —Dublin, County Dublin
- Full-time
- Azure
- Doctoral degree
- Computer Science
Sr. Technical Program Manager, AWS Manufacturing Operations
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Engineering
- AWS
14d
Director, Game Science & Insights
2K —Dublin, County Dublin
- Computer Science
- SQL
- Project management
Quick apply
8d
Principal Data Scientist
iCIMS Talent Acquisition —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- Research
- Master's degree
- Annual leave
- Life insurance
Principal Data Product Engineer — Data Ontology & Metadata
AstraZeneca —Dublin, County Dublin
- Doctoral degree
- Computer Science
- Master's degree
2d
Principal Data Product Engineer — Data Ontology & Metadata
Alexion Pharmaceuticals,Inc. —Dublin, County Dublin
- Doctoral degree
- Computer Science
- Master's degree
2d
Software Engineer - Observability
Microsoft —Dublin, County Dublin
- €63,400–€105,700 a year
- Full-time
- Azure
- Computer Science
- DevOps
Director of Software Engineering - Workplace Technology
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Computer Science
- Java
1h

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AI/ML Associate Engineer

JPMorganChase -
DUBLIN 2, County Dublin

Apply Now

Job details

Full-time
6 days 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

Research Engineer: Machine Learning and Knowledge Representation for Biodata

Software Development Engineer, ML Navigators

Practice Lead - Data Science_ ML

Product Manager, AI/ML Solutions

EMEA Data & Digital Program Manager

Senior Data Scientist - Network Analytics & AI Enablement

AI Engineer 2

Sr Machine Learning Engineer

Principal Data Scientist

Product Technology Manager, Shopping Partner Engineering and APIs

Staff Product Engineer, AI

Senior Data Scientist & Project Lead, AI (Senior Manager)

Sr. Technical Program Manager, AWS Manufacturing Operations

Director, Game Science & Insights

Principal Data Scientist

Principal Data Product Engineer — Data Ontology & Metadata

Principal Data Product Engineer — Data Ontology & Metadata

Software Engineer - Observability

Director of Software Engineering - Workplace Technology

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