Find Engineer ml platform Jobs in Dublin, D

Quantitative Developer – Compute & ML Platform
Millennium Management —Dublin, County Dublin
- Computer Science
- Research
- Bachelor's degree
1h
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
3d
Lead Machine Learning Engineer
DocuSign —Dublin, County Dublin
- Doctoral degree
- Computer Science
- Master's degree
Senior Software Engineer - Machine Learning (f/m/d)
Contentful —Dublin, County Dublin
- Full-time
- Remote
- Azure
- Master's degree
- AWS
- Annual leave
Staff Site Reliability Engineer
ServiceNow —DUBLIN 2, County Dublin
- Full-time
- Hybrid work
- Childcare
- Azure
- Caregiving
Quick apply
10d
Senior Data Engineer
Optum —Dublin, County Dublin
- Full-time
- Azure
- DevOps
- Data analysis skills
7d
AI & Intelligent Automation Consultant (Retail Banking)
NTT Ltd —Dublin, County Dublin
- Hybrid work
- Mentoring
- AI
- Leadership
Data Engineering Team Lead - Databricks
G MASS —Dublin, County Dublin
- Full-time
- Hybrid work
- SQL
- AWS
- Agile
Quick apply
Staff/Lead Fullstack Engineer (Frontend-focused)
Mimica —Dublin, County Dublin
- Full-time
- Remote
- System design
- English
- Master's degree
- Annual leave
- Work from home
Staff Product Manager - AI - 100% Remote - EMEA
Hostaway —Dublin, County Dublin
- Full-time
- Remote
- Bachelor's degree
- Product management
- Annual leave
- Work from home
Quick apply
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
Director of Software Engineering - Workplace Technology
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Computer Science
- Java
3d
Senior ML Science Manager
Intercom —Dublin, County Dublin
- Hybrid work
- Doctoral degree
- Research
- Master's degree
- Annual leave
- Work from home
Software Engineer III - AI & IoT
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- System design
- Java
3d
Founding Full-Stack (Flutter and Java) Engineer
Grand Intelligence —Dublin, County Dublin
- Full-time
- Hybrid work
- Java
- AWS
- AI
Quick apply
Senior Design Program Manager, EMEA/APAC Data Center Design Engineering
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- AWS
- Project management
- AI
Senior Manager of Data Engineering
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- SQL
- AWS
- AI
13d
Senior Data Engineer
ZoomInfo Technologies LLC —Dublin, County Dublin
- On call
- Remote
- Computer Science
- Master's degree
- SQL
3d
Senior Data Engineer
The Irish Times —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
- Gym membership
Quick apply
Architect
TestReach —Dublin, County Dublin
- Azure
- Computer Science
- DevOps

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Quantitative Developer – Compute & ML Platform

Millennium Management -
Dublin, County Dublin

Apply Now

Job details

1 hour ago

Qualifications

CI/CD
Computer Science
Kubernetes
Spark
UNIX
Git
Research
Bash (Unix shell)
Bachelor's degree
Distributed systems
Linux
Communication skills
Python

Full job description

Quantitative Developer – Compute & ML Platform

About Millennium
Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium’s mission is to deliver results for our investors.

Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact.

Meet the Team
The Execution Services team supports trading across products and geographies, with a focus on execution quality, trading efficiency, and the tools that help portfolio managers make informed decisions. Within this group, Central Liquidity Strategies develops and operates trading capabilities that support internal liquidity solutions across the platform. The team works across quantitative research, platform engineering, and production systems to build the compute, storage, and model infrastructure that supports research and live trading.

What You'll Do

Extend the proprietary distributed dataset API, a Polars-style, lazily evaluated, DAG-planned DataFrame surface, with new operators, optimizations, and a strong new-user experience
Design and implement machine learning pipelines spanning large-scale training and tuning, model serving, production validation, and the full retraining lifecycle for a growing model fleet
Improve the reliability, observability, and multi-user capabilities of the compute infrastructure, including resource management, workload isolation, and clean backend interfaces
Build durable abstractions that allow the platform to remain flexible as distributed compute backends evolve
Write, support, maintain, and test code using strong engineering practices, including unit testing, documentation, automation, and CI/CD workflows
Partner with team members on the direction, design, and architecture of the platform
Collaborate closely with researchers and platform engineers to align compute and storage capabilities across the environment

What You Bring

6+ years of Python and distributed systems experience in a quantitative finance environment, with a strong track record of building platform abstractions used by others in production
Bachelor’s degree in Computer Science, Mathematics, Financial Engineering, Operations Research, or a related field
Deep working knowledge of one or more distributed compute frameworks such as Ray, Dask, Spark, PySpark, or Slurm, with a clear understanding of their tradeoffs
Hands-on experience implementing machine learning and deep learning workflows using tools such as PyTorch and XGBoost, with comfort across the full training-to-serving lifecycle
Strong Python skills, and optionally kdb+, for platform and research-focused development
Strong working knowledge of Git, Unix/Linux, Bash, and modern CI/CD workflows
Strong communication skills and the ability to work effectively in a collaborative team environment
Experience with kdb+, PyKX, Polars, Arrow, columnar or lazy query engines, cash equities, live analytics, and/or cloud tooling including Kubernetes is a plus

Apply Now

Refine Your Search

engineer ml platform jobs in dublin, d

Quantitative Developer – Compute & ML Platform

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

Lead Machine Learning Engineer

Senior Software Engineer - Machine Learning (f/m/d)

Staff Site Reliability Engineer

Senior Data Engineer

AI & Intelligent Automation Consultant (Retail Banking)

Data Engineering Team Lead - Databricks

Staff/Lead Fullstack Engineer (Frontend-focused)

Staff Product Manager - AI - 100% Remote - EMEA

Senior Product Manager, GenAI Content Safety

Director of Software Engineering - Workplace Technology

Senior ML Science Manager

Software Engineer III - AI & IoT

Founding Full-Stack (Flutter and Java) Engineer

Senior Design Program Manager, EMEA/APAC Data Center Design Engineering

Senior Manager of Data Engineering

Senior Data Engineer

Senior Data Engineer

Architect

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