Find Machine learning Jobs in Kill, Ke

AI/ML Associate Engineer
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Microsoft Excel
- Azure
- Computer Science
1d
Reference Data Analyst - Portuguese Language Requirement (FTC)
Intercontinental Exchange Holdings, Inc. —DUBLIN 2, County Dublin
- €35,000–€41,000 a year
- Full-time
- Spanish
- Microsoft Excel
- English
AI Analysis & Performance Analyst
TikTok —Dublin, County Dublin
- Master's degree
- SQL
- AI
13d
Data Scientist (Face Biometrics)
Daon Inc —Dublin, County Dublin
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- English
Quick apply
Data Scientist II
AXA —DUBLIN 1, County Dublin
- Azure
- Engineering
- Master's degree
Principal Data Scientist
Optum —Dublin, County Dublin
- Full-time
- Computer Science
- Research
- Master's degree
Senior Expert Data Science, AI Methods
Novartis —Dublin, County Dublin
- €63,490–€117,910 a year
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- Bachelor's degree
Director of Commercial Analytics & Insights
Optum —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- SQL
Principal Data Analyst
Optum —Dublin, County Dublin
- Full-time
- Microsoft Excel
- SQL
- Analysis skills
Full Stack Software Engineer (Freelance)
Tomra —Dublin, County Dublin
- €650–€700 a day
- Full-time
- Azure
- Computer Science
- English
Quick apply
AI/ML Agent Engineer — Front-End Focus
eBay Inc. —Dublin, County Dublin
- Full-time
- JavaScript
- AI
- Python
AI/ML Agent Engineer — Back-End Focus
eBay Inc. —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AI
Staff ML Systems Engineer - Media Intelligence
Tether Operations Limited —Dublin, County Dublin
- Full-time
- Remote
- Azure
- System design
- English
Senior Data Scientist
LexisNexis Risk Solutions —Dublin, County Dublin
- €68,400–€114,000 a year
- Full-time
- Azure
- SQL
- No degree
Senior Software Engineer, Inference
Anthropic —Dublin, County Dublin
- €235,000–€295,000 a year
- Master's degree
- AWS
- Bachelor's degree
Associate Director – Advanced Process Analytics, Data Literacy & Modelling (Dunboyne)
MSD —Dunboyne, County Meath
- Full-time
- Hybrid work
- Data analysis skills
- Manufacturing
- Leadership
8d
AI Research Engineer (Pre-training - LLM & Multi-Modal)
Tether Operations Limited —Dublin, County Dublin
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
Responsible AI Senior Data Scientist
Workday —Dublin, County Dublin
- €80,200–€120,200 a year
- Full-time
- Azure
- Java
- Master's degree
Data and Measurement Account Manager
Google —Dublin, County Dublin
- €96,000–€98,500 a year
- Full-time
- Sales
- Business development
- Bachelor's degree
Lead Machine Learning Engineer
DocuSign —Dublin, County Dublin
- Doctoral degree
- Computer Science
- Master's degree
12d

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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

machine learning jobs in kill, ke

AI/ML Associate Engineer

Reference Data Analyst - Portuguese Language Requirement (FTC)

AI Analysis & Performance Analyst

Data Scientist (Face Biometrics)

Data Scientist II

Principal Data Scientist

Senior Expert Data Science, AI Methods

Director of Commercial Analytics & Insights

Principal Data Analyst

Full Stack Software Engineer (Freelance)

AI/ML Agent Engineer — Front-End Focus

AI/ML Agent Engineer — Back-End Focus

Staff ML Systems Engineer - Media Intelligence

Senior Data Scientist

Senior Software Engineer, Inference

Associate Director – Advanced Process Analytics, Data Literacy & Modelling (Dunboyne)

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

Responsible AI Senior Data Scientist

Data and Measurement Account Manager

Lead Machine Learning Engineer

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