Find Machine learning engineer Jobs in Kill, Ke

Lead Software Engineer - Workforce Experience Technology (Backend, AWS)
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- System design
- Java
- AWS
9d
Capacity Planning Manager, CDP EMEA
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- AWS
- Leadership
- Analytics
Software Development Manager, ICON
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Engineering
- Team management
- Mentoring
Project Engineer
West Pharmaceutical Services —Dublin, County Dublin
- €51,040–€64,960 a year
- Overtime
- Engineering
- Microsoft Office
- Project management
7h
Forward Deployed Engineer II, GCC (French, German)
Google —Dublin, County Dublin
- €76,000–€78,000 a year
- Full-time
- Spanish
- Microsoft Excel
- Doctoral degree
Senior Data Engineer — Lab Data Pipelines & Data Mesh (12 month FTC)
AstraZeneca —Dublin, County Dublin
- Computer Science
- Engineering
- Master's degree
3d
Principal AI Flow Development Engineer
Synopsys —Dublin, County Dublin
- Computer Science
- Engineering
- Bachelor's degree
Sr. Software Eng, Data Platforms
eBay Inc. —Dublin, County Dublin
- Full-time
- System design
- Java
- AI
Senior Software Engineer - Commerce Hub
Fiserv —Dublin, County Dublin
- Full-time
- Java
- Master's degree
- AWS
6d
Senior Engineer, Network Observability
CoreWeave Europe —Dublin, County Dublin
- On call
- Computer Science
- Bachelor's degree
- Linux
- Employee assistance program
Quick apply
Staff Customer Engineer – Automotive AI
Sonatus —Dublin, County Dublin
- Azure
- Doctoral degree
- Computer Science
Quick apply
Director, Game Science & Insights
2K —Dublin, County Dublin
- Computer Science
- SQL
- Project management
Quick apply
5d
EMEA Senior Tax Analyst
ServiceNow —DUBLIN 2, County Dublin
- Full-time
- Hybrid work
- Microsoft Excel
- Research
- Project management
Quick apply
Customer Success Manager
Pluralsight —Dublin, County Dublin
- Full-time
- In-person
- Annual leave
Data Platform Engineer
Verifone —Dublin, County Dublin
- On call
- Hybrid work
- DevOps
- AWS
- Scripting
Quick apply
4d
Staff SRE, Ads
Reddit —Dublin, County Dublin
- On call
- Remote
- Linux
- Communication skills
- Python
- Annual leave
Quick apply
Product Owner (Technical)
Revolut —Dublin, County Dublin
- Full-time
- Remote
- Communication skills
ASIC Design/Verification, Architect
Synopsys —Dublin, County Dublin
- Analysis skills
- Communication skills
ASIC Digital Verification Architect
Synopsys —Dublin, County Dublin
- Leadership
- Communication skills
Strategic Operations Manager, Egregious Harms, Service Delivery, Trust and Safety
Google —Dublin, County Dublin
- €138,000–€142,000 a year
- Full-time
- Bachelor's degree
- No degree
- AI
6h

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

JPMorganChase -
DUBLIN 2, County Dublin

Apply Now

Job details

Full-time
9 days ago

Qualifications

CI/CD
Data modelling
System design
Java
AWS
PostgreSQL
Terraform
Agile
AI
Python
Spring framework
SDLC

Full job description

JOB DESCRIPTION

Join us to shape the future of talent management technology and make a real impact on how we work. You'll have the opportunity to push the limits of what's possible, grow your career, and collaborate with a diverse, forward-thinking team. We value creativity, inclusion, and continuous learning. At JPMorganChase, your ideas and expertise will help us deliver trusted, market-leading solutions. Be part of a team where your contributions matter and your growth is supported.

As a Lead Software Engineer in Workforce Experience Technology, you will play a key role in enhancing and delivering secure, scalable, and innovative technology products. You will work within an agile team, leveraging your technical expertise to drive impactful solutions across multiple business functions. You will help foster a culture of collaboration, inclusion, and technical excellence. Your leadership will support the adoption of advanced engineering practices and the delivery of high-quality applications. Together, we'll build technology that empowers our people and drives business success.

Job Responsibilities:

Execute creative software solutions, design, development, and technical troubleshooting, thinking beyond routine approaches to solve complex problems
Develop secure, high-quality production code, and review and debug code written by others
Drive team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
Design and develop AWS infrastructure solutions to support HR Talent Management applications and data ecosystem
Develop data models and databases for HR Talent Management
Partner with product and front-end development teams to review end-to-end requirements and solutions
Participate in infrastructure resiliency and optimization events

Required Qualifications, Capabilities, and Skills:

Hands-on practical experience delivering system design, application development, testing, and operational stability
Advanced in one or more programming languages (e.g., Java, Spring Boot, Terraform)
Hands-on experience deploying AWS services and developing Infrastructure as Code (IaC) solutions
Proficiency in automation and continuous delivery methods
Proficient in all aspects of the Software Development Life Cycle
Advanced understanding of agile methodologies such as CI/CD, application resiliency, and security
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile)
In-depth knowledge of the financial services industry and their IT systems
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

Preferred Qualifications, Capabilities, and Skills:

Certified AWS Solution Architect
Experience with Java: Spring Boot, Lambda, Python, Terraform
Experience with CI/CD tools such as Jules and Spinnaker
Experience with GraphDB development (AWS Neptune/Gremlin)
Experience with RDMS development (PostgreSQL)
Practical cloud native experience

Why Join Us?
At JPMorganChase, you'll be part of a collaborative, innovative environment where your skills are valued and your growth is supported. We are committed to diversity, inclusion, and empowering our employees to make a difference. Join us to build technology that shapes the future of work.

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

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

Capacity Planning Manager, CDP EMEA

Software Development Manager, ICON

Project Engineer

Forward Deployed Engineer II, GCC (French, German)

Senior Data Engineer — Lab Data Pipelines & Data Mesh (12 month FTC)

Principal AI Flow Development Engineer

Sr. Software Eng, Data Platforms

Senior Software Engineer - Commerce Hub

Senior Engineer, Network Observability

Staff Customer Engineer – Automotive AI

Director, Game Science & Insights

EMEA Senior Tax Analyst

Customer Success Manager

Data Platform Engineer

Staff SRE, Ads

Product Owner (Technical)

ASIC Design/Verification, Architect

ASIC Digital Verification Architect

Strategic Operations Manager, Egregious Harms, Service Delivery, Trust and Safety

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