Find Science_ ml Jobs in Dublin, D

Quantitative Developer – Compute & ML Platform
Millennium Management —Dublin, County Dublin
- Computer Science
- Research
- Bachelor's degree
1d
AI Portfolio Analyst
ICON Plc —Dublin, County Dublin
- Full-time
- Analysis skills
- Bachelor's degree
- Organisational skills
1d
Staff Machine Learning Engineer
Adswizz —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Java
Business Support Engineer
Meta —Dublin, County Dublin
- Weekend availability
- Azure
- Computer Science
- Customer service
6h
Software Developer, Scaled Ops AI Acceleration Team
Meta —Dublin, County Dublin
- Full-time
- Computer Science
- Data analysis skills
- Master's degree
4d
Director Data Science
Optum —Dublin, County Dublin
- Full-time
- Doctoral degree
- Master's degree
- Bachelor's degree
Product Manager
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- Computer Science
Staff Machine Learning Engineer
Sonatus —Dublin, County Dublin
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
- Work from home
Quick apply
2d
Senior Manager, Operations Supply Planner
Bristol-Myers Squibb —Dublin, County Dublin
- Full-time
- Microsoft Excel
- ERP systems
- Analysis skills
Sr. Technical Project Manager
iCims —DUBLIN 2, County Dublin
- Azure
- Master's degree
- AWS
- Annual leave
- Life insurance
AI Software Engineer II (R-19524)
Dun & Bradstreet —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- System design
- Master's degree
- Annual leave
Quick apply
Manager, Architecture & Components
Bristol-Myers Squibb —Dublin, County Dublin
- Full-time
- Microsoft Excel
- Azure
- Computer Science
2d
Account Management, Associate Director - Healthcare Data & Technology
IQVIA —Dublin, County Dublin
- Full-time
- Master's degree
- Business development
- Bachelor's degree
Senior MLOps Engineer
MUFG Investor Services —Dublin, County Dublin
- Full-time
- DevOps
- AWS
- AI
Quick apply
Director, AI & Digital Quality
Alexion Pharmaceuticals,Inc. —Dublin, County Dublin
- Management
- IT
- AI
7d
Senior Applied Scientist, AWS Security
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Doctoral degree
- Research
- Master's degree
Senior Manager, Network Supply Planner
Bristol-Myers Squibb —Dublin, County Dublin
- Full-time
- Microsoft Excel
- Engineering
- ERP systems
- Annual leave
8d
Senior Engineer, Applied AI
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- Master's degree
Network Dev Engineer II, ONE Access Engineering (LAN)
Amazon Ireland Support Services Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Master's degree
- AWS
7d
Forward Deployed Engineering Manager, Generative AI, Google Cloud
Google —Dublin, County Dublin
- €186,000–€191,000 a year
- Full-time
- Spanish
- Microsoft Excel
- Doctoral degree

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Quantitative Developer – Compute & ML Platform

Millennium Management -
Dublin, County Dublin

Apply Now

Job details

1 day 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

AI Portfolio Analyst

Staff Machine Learning Engineer

Business Support Engineer

Software Developer, Scaled Ops AI Acceleration Team

Director Data Science

Product Manager

Staff Machine Learning Engineer

Senior Manager, Operations Supply Planner

Sr. Technical Project Manager

AI Software Engineer II (R-19524)

Manager, Architecture & Components

Account Management, Associate Director - Healthcare Data & Technology

Senior MLOps Engineer

Director, AI & Digital Quality

Senior Applied Scientist, AWS Security

Senior Manager, Network Supply Planner

Senior Engineer, Applied AI

Network Dev Engineer II, ONE Access Engineering (LAN)

Forward Deployed Engineering Manager, Generative AI, Google Cloud

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