Machine Learning Engineer | Remote, Dublin

Protodigy; Remote; EUR 60,000 - 80,000; Full time

Job summary

A leading technology company based in Dublin is seeking a Machine Learning Engineer to deploy and optimize large-scale ML systems. The role requires deep expertise in Python and frameworks like TensorFlow and PyTorch. You will collaborate with a diverse team, develop infrastructure for data modeling, and take part in remote work with quarterly meet-ups. Equity packages and generous learning allowances are offered, reflecting the company’s commitment to growth and innovation.

Benefits

Equity packages

Private healthcare insurance

Generous learning allowance

Quarterly meet-ups with expenses covered

Qualifications

• Deep expertise in Python, TensorFlow/PyTorch, and cloud services.
• Fluency in building APIs and deploying models at scale.
• A tinkerer’s mindset; relentless curiosity and debugging.

Responsibilities

• Deploying and optimising large-scale ML pipelines for production.
• Building infrastructure that improves models weekly.
• Collaborating with scientists, PMs, and designers.

Skills

Python

TensorFlow

PyTorch

APIs

Cloud (AWS, Azure, GCP)

Job description

Algorithms alone don’t change the world. Engineers do.

Our client is building products that live or die on the strength of their ML systems. We’re looking for someone who thrives where theory meets scale, who can take a research paper and turn it into production code that runs flawlessly at 2am.

Your day will include:

Deploying and optimising large-scale ML pipelines that don’t just work in theory but work in production, under load.

Building infrastructure that turns messy real-world data into models that improve week on week.

Collaborating with scientists, PMs, and designers to build intelligent products people actually want to use.

You’ll need:

Deep expertise in Python, TensorFlow/PyTorch, and cloud (AWS, Azure, or GCP).

Fluency in building APIs and deploying models at scale.

A tinkerer’s mindset: relentless curiosity, relentless debugging, relentless improvement.

Fully remote first, with quarterly meet‑ups in European capitals (all expenses covered).

Equity packages available, you don’t just build the system, you own a piece of it.

Private healthcare insurance extendable to family, valid across EU countries.

Generous learning allowance, conferences, courses, or that obscure ML workshop in Prague you’ve been eyeing.

Interested? Apply at [e-mail].