Find Engineer ml platform Jobs in Dublin, D

Applied AI / ML Lead Software Engineer — Employee Platforms
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Engineering
- Master's degree
- AWS
3d
AI Architect
Marsh —Dublin, County Dublin
- Full-time
- Azure
- AWS
- Presentation skills
Director of Software Engineering - Workplace Technology
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Computer Science
- Java
11d
Lead Machine Learning Engineer
DocuSign —Dublin, County Dublin
- Doctoral degree
- Computer Science
- Master's degree
Principal Cybersecurity Architect
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- AWS
- Software development
- AI
Senior Machine Learning Scientist
Intercom —Dublin, County Dublin
- Hybrid work
- Doctoral degree
- Research
- Master's degree
- Annual leave
- Work from home
Head of Responsible AI- Vice President
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Microsoft Excel
- Doctoral degree
- Computer Science
AI Architect (R-18541)
Dun & Bradstreet —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Annual leave
Quick apply
Senior Data Engineer
Optum —Dublin, County Dublin
- Full-time
- Azure
- DevOps
- Data analysis skills
Staff Machine Learning Engineer
Adswizz —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Java
Director of AI Engineering
Mastercard —Dublin, County Dublin
- Full-time
- AI
- Communication skills
- Python
Senior Staff Engineer
StoneX Group —Dublin, County Dublin
- Azure
- Computer Science
- English
12d
Principal Data Product Engineer — Data Ontology & Metadata
AstraZeneca —Dublin, County Dublin
- Doctoral degree
- Computer Science
- Master's degree
13d
Architect
TestReach —Dublin, County Dublin
- Azure
- Computer Science
- DevOps
Solution Architect
Sonalake —Dublin, County Dublin
- Hybrid work
- English
- Presentation skills
- Agile
Quick apply
Director, Software Engineering
Mastercard —Dublin, County Dublin
- Full-time
- Computer Science
- Bachelor's degree
- No degree
Product Manager
Kitman Labs —Dublin, County Dublin
- Full-time
- Hybrid work
- AI
- Communication skills
- Analytics
Forward Deployed Engineer III, Google Cloud Consulting (German, French)
Google —Dublin, County Dublin
- €100,000–€103,000 a year
- Full-time
- Spanish
- Doctoral degree
- Computer Science
11d
Technical Recruiter
ElevenLabs —Dublin, County Dublin
- Full-time
- Remote
- Research
- Recruiting
- Communication skills
Senior Core Technologies Engineer
Intercom —Dublin, County Dublin
- Hybrid work
- Annual leave
- Work from home

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Applied AI / ML Lead Software Engineer — Employee Platforms

JPMorganChase -
DUBLIN 2, County Dublin

Apply Now

Job details

Full-time
3 days ago

Qualifications

TensorFlow
CI/CD
Data modelling
Law
Engineering
Spark
Master's degree
AWS
PostgreSQL
Terraform
GitHub
AI
Jenkins
Python

Full job description

JOB DESCRIPTION

Join us in Dublin as part of JPMorganChase's Employee Platforms technology organization, where you'll help shape the future of work for over 300,000 employees. You'll have the opportunity to build impactful AI solutions, collaborate with talented teams, and grow your career in a dynamic engineering hub. We value creativity, reliability, and a passion for delivering measurable results. Your expertise will help us integrate advanced AI capabilities into enterprise platforms, improving productivity and employee experience. Discover a place where your skills and ideas can make a real difference.

Job Summary:
As an Applied AI / ML Lead Software Engineer in the Employee Platforms Data Team, you will design, build, and operate agentic AI and LLM-powered workflows that drive operational excellence. You will work closely with end-user services, ensuring solutions are reliable, secure, and aligned with firm standards. Your role will focus on integrating AI safely into enterprise platforms, collaborating across disciplines, and contributing to platform standards. You will help foster a culture of innovation and continuous improvement within the team.

Job Responsibilities:

Design and deliver LLM-powered applications that support employee platforms and operational use cases
Build and maintain agentic AI workflows, including tool use, planning, structured outputs, and safety controls
Create and operationalize MCP servers/tools for secure agent interactions with internal services and data sources
Develop evaluation strategies for LLM systems and drive performance improvements through experimentation
Productionize models and AI services, including packaging, deployment, scaling, and observability
Implement monitoring for model and system health, and define operational SLOs/SLAs
Build CI/CD pipelines and automated testing for data, ML, and LLM systems
Ensure solutions meet governance requirements, including documentation, controls, and compliance
Build and maintain data pipelines and feature/retrieval layers to support AI use cases
Partner with product owners, platform engineering, SRE, security, and data stakeholders to integrate AI capabilities
Contribute to platform standards, reusable components, and best practices for AI engineering

Required Qualifications, Capabilities, and Skills:

Demonstrate strong Python engineering skills for production-grade code, testing, and performance tuning
Deliver LLM-enabled applications and apply agentic AI patterns, including tool use, orchestration, and guardrails
Build and operate MCP integrations reliably
Apply solid software engineering fundamentals, including version control, code review, CI/CD, and secure development
Utilize at least one ML/AI ecosystem such as PyTorch, TensorFlow, scikit-learn, or MLflow
Deploy and operate workloads on AWS, including compute, storage, IAM, and networking fundamentals

Preferred Qualifications, Capabilities, and Skills:

Model and optimize data with PostgreSQL
Use Infrastructure as Code with Terraform for repeatable environments
Apply strong CI/CD experience with tools like GitHub Actions or Jenkins
Work with distributed data processing and lakehouse patterns, such as Apache Spark or Databricks
Leverage developer productivity tools like Claude Code and GitHub Copilot responsibly
Collaborate on end-user services, including VDI, application delivery, and enterprise tooling
Consider operational constraints and user experience in solution design

Why Join Us?
You will be part of a collaborative, innovative team that values secure-by-design and reliable engineering. Your work will directly impact employee productivity and operational efficiency, offering opportunities for growth and meaningful contributions.

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

Applied AI / ML Lead Software Engineer — Employee Platforms

AI Architect

Director of Software Engineering - Workplace Technology

Lead Machine Learning Engineer

Principal Cybersecurity Architect

Senior Machine Learning Scientist

Head of Responsible AI- Vice President

AI Architect (R-18541)

Senior Data Engineer

Staff Machine Learning Engineer

Director of AI Engineering

Senior Staff Engineer

Principal Data Product Engineer — Data Ontology & Metadata

Architect

Solution Architect

Director, Software Engineering

Product Manager

Forward Deployed Engineer III, Google Cloud Consulting (German, French)

Technical Recruiter

Senior Core Technologies Engineer

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