Machine Learning Engineer

Sigmar Recruitment

Dublin

On-site

EUR 66,000 - 111,000

Full time

7 days ago
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Benefits offered by this job

Competitive daily rate
Senior-level ownership
Agile engineering culture

Job summary

Sigmar Recruitment is seeking a Principal Machine Learning Engineer to join a global financial services technology organisation. You will lead end-to-end ML projects, collaborating with data engineers and scientists to design, build, deploy and scale AI-driven solutions.

You’ll drive cloud-based ML platforms, data pipelines and MLOps, mentor engineers, and shape technical direction across initiatives. This is a senior role with ownership in a fast-paced, innovative environment.

Qualifications

  • Significant experience delivering large-scale software and data platforms.
  • Strong AI/ML lifecycle expertise from model development to deployment.
  • Hands-on cloud deployments in AWS with familiarity of data pipelines.
  • Experience with CI/CD pipelines and DevOps tooling.
  • Proven leadership and ability to mentor engineers across teams.
  • Experience with ML platforms such as SageMaker or similar.

Responsibilities

  • Lead end-to-end ML lifecycle across projects with data engineers and scientists.
  • Design, build, deploy, and scale AI-driven solutions for participant services.
  • Build and maintain cloud-based ML platforms and data pipelines.
  • Mentor engineers and influence technical direction across initiatives.

Skills

Large-scale software and data systems
AI/ML lifecycle
Cloud-based ML platforms
Mentoring engineers
Cross-team collaboration
MLOps practices
AWS cloud services
CI/CD tooling
Python/Java API development
Data pipelines and OLTP

Tools

AWS
Jenkins
uDeploy
Concourse
SageMaker
Azure ML
MLFlow
Seldon
Kubeflow
Airflow
Prefect
Luigi
Spring Boot

Job description

Join a global financial services technology organisation that is investing heavily in Artificial Intelligence and Machine Learning to deliver next-generation digital solutions. You’ll work in a collaborative, fast-paced environment where innovation, ownership, and engineering excellence are central to how teams operate.

About Your New Job

We are seeking a Principal Machine Learning Engineer to join an AI and Machine Learning squad within a Workplace Investing technology group. In this senior role, you will work end-to-end across the ML lifecycle, partnering closely with data engineers and data scientists to design, build, deploy, and scale AI-driven solutions that support participant services and business operations.

You will take a hands‑on leadership role in building cloud-based ML platforms, data pipelines, and MLOps capabilities, while influencing technical direction and mentoring engineers across multiple initiatives.

What Skills You Need
  • Significant experience working on large-scale software and data platforms
  • Strong background in AI/ML engineering with exposure to the full machine learning lifecycle
  • Hands‑on experience building and deploying ML solutions in cloud environments (AWS preferred)
  • Strong experience with CI/CD pipelines and DevOps tooling (Jenkins, uDeploy, Concourse or similar)
  • Hands‑on experience with AWS services such as S3, EC2, Lambda, Glue, SNS, and SQS
  • Experience deploying data pipelines and OLTP systems using platforms such as RDS/Postgres and data warehouses like Snowflake
  • Experience with orchestration tools such as Airflow, Prefect, Luigi, or Kubeflow
  • API development experience using Python and/or Java (Spring Boot)
  • Strong understanding of model development, inference, monitoring, and retraining
  • Proven technical leadership skills with the ability to communicate effectively across diverse teams
  • Experience with ML platforms such as SageMaker, Azure ML, MLFlow, Seldon, or similar
  • Exposure to cloud AI services and cognitive platforms
  • Interest in emerging AI/ML technologies and MLOps practices
What’s on Offer
  • Opportunity to work on strategic, high-impact AI/ML initiatives
  • Senior-level role with strong technical influence and ownership
  • Collaborative, agile engineering culture
  • Daily Rate up to €600 per day depending on experience
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