Senior Machine Learning Engineer – AI/ML & Real-Time Data
AI/ML & Real-Time Data
Global leader in tech industry
Cutting-edge tech stack
My client, a
global leader
in the
tech
industry
with a strong international presence, is
expanding
its Dublin HQ and is looking for a
Senior Machine Learning Engineer
to join their high-performing team.
In this
impactful
role, you'll be at the
heart of designing
and
delivering
cutting-edge AI
and
ML data products
, with a strong focus on
IoT
and real-time data processing.
You'll play a
key role
in building
scalable data pipelines
from the ground up to support next-gen of AI solutions, including LLMs and other advanced technologies aimed at
driving innovation
in industrial applications.
You'll be working with a
modern
, cloud tech stack that includes
Python, Spark
, and
Databricks
for pipeline development, alongside
Azure
and
GCP
for building and managing large-scale
data lakes
.
This is a highly collaborative, forward-thinking environment where your contributions will directly influence the technical direction and success of global initiatives.
As the team continues to grow, you'll have a clearly defined path for
career progression
into leadership roles such as
Lead, Principal, Architect
, and
Senior Management
.
The role is based in Dublin City Centre with a
hybrid
working model, three days a week in the office (Dublin City Centre) and two from home.
Opportunity:
Build scalable pipelines for AI, LLMs & real-time IoT data
Modern tech stack: Python, Spark, Databricks, Azure, GCP
Join a high-impact global data team
Influence cutting-edge industrial AI solutions
Fast-track to Lead, Principal, or Architect roles
Strong backing for innovation and technical ownership
Experience Required:
Must currently be a Senior Data or ML Engineer (5-10 years of experience)
Experience building data pipelines within AI / ML environment
Must have experience with PySpark
Salary:
€80,000 – €100,000 + Healthcare + Pension + 25 Days of AL + Hybrid role and MORE!
For more information, contact Tara van Vuuren confidentially on +
*************
or email your CV to
******
.
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