Find 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
Senior Staff Machine Learning Scientist, Recommendations
Adswizz —Dublin, County Dublin
- Full-time
- Doctoral degree
- Java
- Master's degree
Lead Machine Learning Engineer
DocuSign —Dublin, County Dublin
- Doctoral degree
- Computer Science
- Master's degree
12d
AI Research Engineer (Multi-Modal Reinforcement Learning) - 100% Remote Worldwide
Tether Operations Limited —Dublin, County Dublin
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
AI/ML Associate Engineer
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Microsoft Excel
- Azure
- Computer Science
1d
Lead Software Engineer - Workforce Experience Technology (Backend, AWS)
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- System design
- Java
- AWS
8d
Responsible AI Senior Data Scientist
Workday —Dublin, County Dublin
- €80,200–€120,200 a year
- Full-time
- Azure
- Java
- Master's degree
AI Research Engineer (Model Compression & Quantization) - 100% Remote Worldwide
Tether Operations Limited —Dublin, County Dublin
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
AI Research Engineer (Multi-Modal & Vision) - 100% Remote Worldwide
Tether Operations Limited —Dublin, County Dublin
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
AI Research Engineer (Agentic Post-training) - 100% Remote Worldwide
Tether Operations Limited —Dublin, County Dublin
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
Senior Data Engineer
Optum —Dublin, County Dublin
- Full-time
- Azure
- DevOps
- System design
Head of Phenomics
Novartis —Dublin, County Dublin
- €102,200–€189,800 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
Principal Data Scientist
iCIMS Talent Acquisition —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- Research
- Master's degree
- Annual leave
- Life insurance
Field Service - Early Career Engineers
Applied Materials —Leixlip, County Kildare
- €36,000–€49,500 a year
- Weekend availability
- Master's degree
- Bachelor's degree
- Hand tools
Senior Technical Solutions Consultant, Data Engineering
Google —Dublin, County Dublin
- €120,000–€123,000 a year
- Full-time
- Bachelor's degree
- No degree
9d
AI DevOps Engineer
Citco —Dublin, County Dublin
- Full-time
- Computer Science
- DevOps
- System design
Sr. Technical Program Manager, AWS Manufacturing Operations
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Engineering
- AWS
9d
Platform Engineering Team Lead
EcoOnline —Dublin, County Dublin
- Hybrid work
- AWS
- Mentoring
- AI
- Annual leave
AI Inference Engineer QVAC (100% remote Worldwide)
Tether Operations Limited —Dublin, County Dublin
- Full-time
- Remote
- Computer Science
- English
- C++
Applications Engineer
TriMech Group UK & Ireland —Sandyford, County Dublin
- €28,850–€51,300 a year
- Full-time
- JavaScript
- No degree
- Manufacturing

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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

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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

machine learning engineer jobs in kill, ke

Senior Machine Learning Engineer

Senior Staff Machine Learning Scientist, Recommendations

Lead Machine Learning Engineer

AI Research Engineer (Multi-Modal Reinforcement Learning) - 100% Remote Worldwide

AI/ML Associate Engineer

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

Responsible AI Senior Data Scientist

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

AI Research Engineer (Multi-Modal & Vision) - 100% Remote Worldwide

AI Research Engineer (Agentic Post-training) - 100% Remote Worldwide

Senior Data Engineer

Head of Phenomics

Principal Data Scientist

Field Service - Early Career Engineers

Senior Technical Solutions Consultant, Data Engineering

AI DevOps Engineer

Sr. Technical Program Manager, AWS Manufacturing Operations

Platform Engineering Team Lead

AI Inference Engineer QVAC (100% remote Worldwide)

Applications Engineer

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