Find Engineer ml platform Jobs in Dublin, D

Quantitative Developer – Compute & ML Platform
Millennium Management —Dublin, County Dublin
- Computer Science
- Research
- Bachelor's degree
21h
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
4d
Software Engineer III - AI & IoT
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- System design
- Java
4d
Director of Software Engineering - Workplace Technology
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- Computer Science
- Java
4d
Senior Staff Engineer
StoneX Group —Dublin, County Dublin
- Azure
- Computer Science
- English
5d
Lead Security Engineer
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- DevOps
- AWS
- Analysis skills
3d
Digital Cloud Solution Engineer Cloud & AI (Apps & AI) - Benelux Region
Microsoft —Dublin, County Dublin
- €50,500–€84,100 a year
- Full-time
- Azure
- Computer Science
- Sales
5h

Related jobs to explore

Based on your search for engineer ml platform

Quantitative Developer – Compute & ML Platform
Millennium Management —Dublin, County Dublin
Hands-on experience implementing machine learning and deep learning workflows using tools such as PyTorch and XGBoost, with comfort across the full training-to-…
21h
AI Portfolio Analyst
ICON Plc —Dublin, County Dublin
Translate business needs into clear functional and non-functional requirements, user stories, and acceptance criteria. Life assurance and disability coverage.
3h

I want to receive the latest job alerts for engineer ml platform in dublin, d

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

engineer ml platform jobs near dublin, d

Solutions Engineer jobs in Dublin, County Dublin

Electronics Engineer jobs in County Cork

R&d Engineer jobs in County Dublin

Renewable Energy Engineer jobs in Dublin, County Dublin

Senior Software Engineer jobs in Dublin, County Dublin

Senior Software Engineer jobs in Remote

Civil Engineer jobs in County Cork

Service Engineer jobs in County Cork

Senior Software Engineer jobs in Letterkenny, County Donegal

Sales Director Saas jobs in Dublin, County Dublin

Engineering Manager jobs in County Galway

Structural Engineer jobs in County Dublin

Web Developer jobs in County Cork

Quantitative Developer jobs in County Dublin

Process Engineer jobs in Cork, County Cork

Lead Security Engineer jobs in County Cork

Security jobs in Naas, County Kildare

Solutions Engineer jobs in Kenmare, County Kerry

Senior Quality Engineer jobs in County Galway

Solutions Engineer jobs in Cork, County Cork

Quantitative Developer – Compute & ML Platform

Millennium Management -
Dublin, County Dublin

Apply Now

Job details

21 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

engineer ml platform jobs in dublin, d

Quantitative Developer – Compute & ML Platform

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

Software Engineer III - AI & IoT

Director of Software Engineering - Workplace Technology

Senior Staff Engineer

Lead Security Engineer

Digital Cloud Solution Engineer Cloud & AI (Apps & AI) - Benelux Region

Related jobs to explore

I want to receive the latest job alerts for engineer ml platform in dublin, d

Related Searches

Explore jobs in more locations

Jobseeker tools

Employer Tools

Browse

Stay Connected