Senior ML Engineer: Cloud + MLOps Leader

Sigmar Recruitment; Dublin; On-site; EUR 66,000 - 111,000; Full time

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

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.