Find Science_ ml Jobs in Dublin, D

Quantitative Developer – Compute & ML Platform
Millennium Management —Dublin, County Dublin
- Computer Science
- Research
- Bachelor's degree
13h
Sr Machine Learning Engineer
paypal —Dublin, County Dublin
- Full-time
- Azure
- Java
- Master's degree
- Annual leave
Staff Machine Learning Engineer
Adswizz —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Java
Senior Data Scientist
Verve —Dublin, County Dublin
- Doctoral degree
- Master's degree
- SQL
Software Developer, Scaled Ops AI Acceleration Team
Meta —Dublin, County Dublin
- Full-time
- Computer Science
- Data analysis skills
- Master's degree
3d
Staff Machine Learning Engineer
Sonatus —Dublin, County Dublin
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
- Work from home
Quick apply
22h
Manager, Engineering (Backend Development)
Sonatus —Dublin, County Dublin
- Computer Science
- Engineering
- Java
- Annual leave
- Life insurance
Quick apply
Sr Applied Scientist
2K —Dublin, County Dublin
- Doctoral degree
- Master's degree
- SQL
Quick apply
Chief Information Officer
ACE Money Transfer —Dublin, County Dublin
- Full-time
- Computer Science
- Engineering
- Master's degree
Quick apply
AI Infrastructure Engineer
Intercom —Dublin, County Dublin
- Hybrid work
- Computer Science
- Java
- Master's degree
- Annual leave
- Work from home
Director Data Science
Optum —Dublin, County Dublin
- Full-time
- Doctoral degree
- Master's degree
- Bachelor's degree
Full Stack Engineer
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- Engineering
Product Manager
Kitman Labs —Dublin, County Dublin
- Full-time
- Hybrid work
- AI
- Communication skills
- Analytics
Senior Product Manager
Optum —Dublin, County Dublin
- Full-time
- Master's degree
- Analysis skills
- No degree
13d
Senior Data Analytics & AI Engineer
ResMed —Dublin, County Dublin
- Full-time
- Computer Science
- System design
- Master's degree
- Referral programme
Principal Data Scientist
iCIMS Talent Acquisition —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- Research
- Master's degree
- Annual leave
- Life insurance
Software Architect - Analytics & Reporting
Optum —Dublin, County Dublin
- Full-time
- Azure
- Master's degree
- AWS
Product Manager
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- Computer Science
Senior Data Engineer — Lab Data Pipelines & Data Mesh
Alexion Pharmaceuticals,Inc. —Dublin, County Dublin
- Computer Science
- Engineering
- Master's degree
10d
Senior Manager, Operations Supply Planner
Bristol-Myers Squibb —Dublin, County Dublin
- Full-time
- Microsoft Excel
- ERP systems
- Analysis skills

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Quantitative Developer – Compute & ML Platform

Millennium Management -
Dublin, County Dublin

Apply Now

Job details

13 hours 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

science_ ml jobs in dublin, d

Quantitative Developer – Compute & ML Platform

Sr Machine Learning Engineer

Staff Machine Learning Engineer

Senior Data Scientist

Software Developer, Scaled Ops AI Acceleration Team

Staff Machine Learning Engineer

Manager, Engineering (Backend Development)

Sr Applied Scientist

Chief Information Officer

AI Infrastructure Engineer

Director Data Science

Full Stack Engineer

Product Manager

Senior Product Manager

Senior Data Analytics & AI Engineer

Principal Data Scientist

Software Architect - Analytics & Reporting

Product Manager

Senior Data Engineer — Lab Data Pipelines & Data Mesh

Senior Manager, Operations Supply Planner

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