Find Machine learning engineer Jobs in Kill, Ke

AI/ML Associate Engineer
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Microsoft Excel
- Azure
- Computer Science
7d
Staff Product Engineer, AI
Intercom —Dublin, County Dublin
- Hybrid work
- Computer Science
- Bachelor's degree
- JavaScript
- Annual leave
- Work from home
Capacity Planning Manager, CDP EMEA
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- AWS
- Leadership
- Analytics
AI & Intelligent Automation Consultant (Retail Banking)
NTT Ltd —Dublin, County Dublin
- Hybrid work
- Mentoring
- AI
- Leadership
Project Engineer
West Pharmaceutical Services —Dublin, County Dublin
- €51,040–€64,960 a year
- Overtime
- Engineering
- Microsoft Office
- Project management
4d
Senior Data Engineer — Lab Data Pipelines & Data Mesh
AstraZeneca —Dublin, County Dublin
- Computer Science
- Engineering
- Master's degree
7d
Senior Staff Machine Learning Scientist, Recommendations
Sirius XM —Dublin, County Dublin
- Full-time
- Remote
- Doctoral degree
- Java
- Master's degree
Defect equipment Systems Engineer
Intel —Leixlip, County Kildare
- €59,200–€111,300 a year
- Full-time
- Software troubleshooting
- Engineering
- Data analysis skills
4d
Sr. Technical Program Manager, AWS Manufacturing Operations
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Engineering
- AWS
AI DevOps Engineer
Citco —Dublin, County Dublin
- Full-time
- Computer Science
- DevOps
- System design
EDA flow and Logic Synthesis Engineer (Staff Engineer)
Synopsys —Dublin, County Dublin
- Master's degree
- Analysis skills
- Bachelor's degree
Lead Software Engineer - Workforce Experience Technology (Backend, AWS)
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- System design
- Java
- AWS
14d
Data Engineering Lead – English Speaker – Office Based
SpotOn TA —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Engineering
4d
Sr. Manufacturing Test Engineer, AWS Rack Mfg Operations
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Engineering
- Java
AI Research Engineer (Model Compression & Quantization) - 100% Remote Worldwide
Tether Operations Limited —Dublin, County Dublin
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
Senior Data Engineer — Lab Data Pipelines & Data Mesh
Alexion Pharmaceuticals,Inc. —Dublin, County Dublin
- Computer Science
- Engineering
- Master's degree
7d
Senior Product Engineer - Insights
Nory —Dublin, County Dublin
- Full-time
- Remote
- Hospitality
- Restaurant management
- AWS
- Annual leave
- Work from home
Senior Product Manager, GenAI Content Safety
Google —Dublin, County Dublin
- €146,000–€150,000 a year
- Full-time
- Master's degree
- Bachelor's degree
- No degree
Infrastructure Security Engineer
ElevenLabs —Dublin, County Dublin
- Full-time
- Remote
- AWS
- Linux
- AI
Full Stack Software Engineer (Freelance)
Tomra —Dublin, County Dublin
- €650–€700 a day
- Full-time
- Azure
- Computer Science
- English
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AI/ML Associate Engineer

JPMorganChase -
DUBLIN 2, County Dublin

Apply Now

Job details

Full-time
7 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

machine learning engineer jobs in kill, ke

AI/ML Associate Engineer

Staff Product Engineer, AI

Capacity Planning Manager, CDP EMEA

AI & Intelligent Automation Consultant (Retail Banking)

Project Engineer

Senior Data Engineer — Lab Data Pipelines & Data Mesh

Senior Staff Machine Learning Scientist, Recommendations

Defect equipment Systems Engineer

Sr. Technical Program Manager, AWS Manufacturing Operations

AI DevOps Engineer

EDA flow and Logic Synthesis Engineer (Staff Engineer)

Lead Software Engineer - Workforce Experience Technology (Backend, AWS)

Data Engineering Lead – English Speaker – Office Based

Sr. Manufacturing Test Engineer, AWS Rack Mfg Operations

AI Research Engineer (Model Compression & Quantization) - 100% Remote Worldwide

Senior Data Engineer — Lab Data Pipelines & Data Mesh

Senior Product Engineer - Insights

Senior Product Manager, GenAI Content Safety

Infrastructure Security Engineer

Full Stack Software Engineer (Freelance)

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