Find Lead machine learning engineer Jobs in Kill, Ke

Senior Machine Learning Engineer
Equifax —Dublin, County Dublin
- Full-time
- Computer Science
- Master's degree
- SQL
- Gym membership
- Sick pay
Mechanical Stress Engineer
Boeing —Dublin, County Dublin
- €173,400–€295,550 a year
- Azure
- Engineering
- Master's degree
4d
Lead Data Analytics & AI Engineer
ResMed —Dublin, County Dublin
- Computer Science
- System design
- Master's degree
- Referral programme
3d
Data Engineering Lead
Wibit Consulting & Services (WibitCS) —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Java
Quick apply
9d
Staff AI Designer
Intercom —Dublin, County Dublin
- Hybrid work
- Annual leave
- Work from home
Practice Lead - Data Science_ ML
Infosys —Dublin, County Dublin
- Azure
- Doctoral degree
- Marketing
Senior API Engineer
Henry Schein Ireland —Dublin, County Dublin
- Full-time
- Azure
- Management
- Computer Science
EDA flow and Logic Synthesis Engineer (Staff Engineer)
Synopsys —Dublin, County Dublin
- Master's degree
- Analysis skills
- Bachelor's degree
Director of Data Engineering
2K —Dublin, County Dublin
- DevOps
- Data analysis skills
- AI
Quick apply
ASIC Digital Design, Sr Engineer
Synopsys —Dublin, County Dublin
- Master's degree
- Bachelor's degree
- No degree
Senior Applied Scientist, AWS Security
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Doctoral degree
- Research
- Master's degree
7d
Senior Cloud Networking Manager
eBay Inc. —Dublin, County Dublin
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
Forward Deployed Engineer II, GCC (French, German)
Google —Dublin, County Dublin
- €76,000–€78,000 a year
- Full-time
- Spanish
- Microsoft Excel
- Doctoral degree
Staff Software Engineer - Client Apps
Dolby —Dublin, County Dublin
- System design
- JavaScript
- Software development
ASIC Digital Design, Staff Engineer
Synopsys —Dublin, County Dublin
- Master's degree
- Analysis skills
- Bachelor's degree
VP of Quantum Software Engineering
Equal1 —Dublin, County Dublin
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Quick apply
Principal Security Engineer, AWS Security
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- AWS
- Leadership
- Python
ASIC Digital Design, Principal Engineer
Synopsys —Dublin, County Dublin
- Computer Science
- Engineering
- Bachelor's degree
Senior Software Engineer, Cloud Security
Iambic Therapeutics, Inc —Dublin, County Dublin
- Full-time
- Hybrid work
- Master's degree
- AWS
- Bachelor's degree
10d
Senior AI Engineer
Sonatus —Dublin, County Dublin
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
Quick apply

I want to receive the latest job alerts for lead machine learning engineer in kill, ke

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

lead machine learning engineer jobs near kill, ke

Ai Developer jobs in Dublin, County Dublin

Designer jobs in Dublin, County Dublin

Data Engineer jobs in Dublin, County Dublin

Senior Software Engineer jobs in Dublin, County Dublin

Data Scientist jobs in Dublin, County Dublin

Back End Developer jobs in Dublin, County Dublin

Digital Designer jobs in Dublin, County Dublin

Machine Learning Engineer jobs in Dublin, County Dublin

Pfizer, Grange Castle Engineering jobs in Dublin, County Dublin

Engineering jobs in Ballinrobe, County Mayo

Ai Developer jobs in County Dublin

Kitchen Designer jobs in Celbridge, County Kildare

Content Designer jobs in Dublin, County Dublin

Ux Ui Designer Part Time jobs in Dublin, County Dublin

Presentation Designer jobs in Dublin, County Dublin

Quality Team Lead jobs in Dublin, County Dublin

Community Intervention Team jobs in Glasnevin, County Dublin

Team Leader jobs in Cork, County Cork

Data Engineer jobs in County Donegal

Service Engineer jobs in Dublin, County Dublin

Senior Machine Learning Engineer

Equifax -
Dublin, County Dublin

Apply Now

Job details

Full-time

Benefits

Bike to work scheme
Gym membership
Sick pay

Qualifications

Computer Science
Data structures
Git
Google Cloud Platform
Master's degree
SQL
Analysis skills
Presentation skills
Bachelor's degree
Cloud computing
Predictive analytics
AI
Communication skills
Python
Analytics

Full job description

Dublin
Ireland
Data & Analytics
Full time
7/6/2026
J00176887

To play this video, please accept Functional & Personalisation cookies in your cookie preferences.

Manage Preferences

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.

The ideal candidate for this Senior Machine Learning Engineer role has a multi-faceted skillset encompassing data analysis, data science and software engineering. As part of the AI Innovation Lab, the candidate will leverage this powerful combination of skills to explore how cutting-edge AI technologies can be applied to drive our organisation’s AI strategy forward. They will design and build innovative AI prototypes, blending rigorous data science experimentation with robust software engineering to push the boundaries of our technical capabilities.

What you will do:

Analyse and interpret large data assets within our cloud-hosted data warehouse.
Collaborate across diverse business domains to solve complex analytical problems and build advanced AI solutions in areas such as predictive modeling, fraud detection, and agentic AI.
Utilise combined knowledge of data structures, analytics, machine learning algorithms, software engineering and cloud computing to independently prepare datasets, conduct analytics, and develop deployable solutions.
Lead projects through all phases of development and delivery from analysis & design all the way through to deployment.
Apply development and testing best practices and demonstrate excellent software craftsmanship to produce maintainable, quality solutions.
Define and evaluate the technical work of junior team members, guiding them on deliverable quality and accuracy.
Package, summarise, visualise, and translate analytical findings into compelling narratives for both technical and non-technical stakeholders, clearly communicating the business impact.
Stay up-to-date with emerging AI tools and technologies, evaluating their potential to advance team projects.

What experience you need

Bachelor's degree (2:1 or above) in a numerical subject (Computer Science, Mathematics, Statistics, Physics, Engineering), or equivilent experience.
Extensive experience in a related role.
Hands-on experience leveraging cloud AI platforms (ideally Vertex AI on GCP).
Proficient in Python and SQL with an understanding of database design techniques (such as partitioning) and performance tuning (such as query optimisation).
Proven expertise in utilising advanced statistical concepts to design predictive machine learning algorithms, ensuring rigorous evaluation and optimisation for accuracy and performance.
Strong analytical and problem-solving skills, with a proven ability to navigate ambiguity, think creatively, and chart a clear plan of action when developing new prototypes without detailed requirements.
Excellent communication and presentation skills.

What could set you apart

Experience implementing agentic AI solutions, utilising elements such as multi-agent architectures, Retrieval-Augmented Generation (RAG) pipelines, or tool integration via MCP (Model Context Protocol) servers.
Experience with advanced AI techniques, including deep neural networks and their applications in natural language processing.
Knowledge of the financial services industry.
Strong grasp of software engineering best practices such as the SOLID principles, peer reviewing and source control using Git
Contributions to open-source AI projects.
A Masters degree in a numerical subject (Computer Science, Mathematics, Statistics, Physics, Engineering).

The Perks of being a Equifax Employee?

We offer a wide range of company supported benefits including contributory pension, life cover, income protection, healthcare, enhanced maternity and sick pay, 26 days holiday and a day off for your birthday, with the ability to buy and sell and free credit checks. We also offer flexible benefits ranging from cycle to work, discounted travel options, gym membership, dining and leisure discounts, financial & savings plans, mobile discounts plus much more!

We also support personal development and have a range of learning options including our global online learning platform and allow you to bring your whole self to work supported by our Inclusion and Diversity, Wellbeing and Employee Engagement forums.

Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!

Who is Equifax?

At Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence.

We work to help create seamless and positive experiences during life’s pivotal moments: applying for jobs or a mortgage, financing an education or buying a car. Our impact is real and to accomplish our goals we focus on nurturing our people for career advancement and their learning and development, supporting our next generation of leaders, maintaining an inclusive and diverse work environment, and regularly engaging and recognizing our employees. Regardless of location or role, the individual and collective work of our employees makes a difference and we are looking for talented team players to join us as we help people live their financial best.

Equifax is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.

Apply Now

Refine Your Search

lead machine learning engineer jobs in kill, ke

Senior Machine Learning Engineer

Mechanical Stress Engineer

Lead Data Analytics & AI Engineer

Data Engineering Lead

Staff AI Designer

Practice Lead - Data Science_ ML

Senior API Engineer

EDA flow and Logic Synthesis Engineer (Staff Engineer)

Director of Data Engineering

ASIC Digital Design, Sr Engineer

Senior Applied Scientist, AWS Security

Senior Cloud Networking Manager

Forward Deployed Engineer II, GCC (French, German)

Staff Software Engineer - Client Apps

ASIC Digital Design, Staff Engineer

VP of Quantum Software Engineering

Principal Security Engineer, AWS Security

ASIC Digital Design, Principal Engineer

Senior Software Engineer, Cloud Security

Senior AI Engineer

I want to receive the latest job alerts for lead machine learning engineer in kill, ke

Related Searches

Explore jobs in more locations

Jobseeker tools

Employer Tools

Browse

Stay Connected