Principal Software Engineer – MLOps

Archer Recruitment

Connacht

On-site

EUR 120,000 - 160,000

Full time

15 hours ago
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Job summary

Archer Recruitment seeks a Principal Software Engineer - MLOps to drive innovative AI/ML solutions at scale. Work at the intersection of software, data and cloud technologies in a large insurer setting, delivering production-ready pipelines and AI services.

The role emphasizes collaboration with data scientists, cloud-native infrastructure, and advanced AI research to shape underwriting-tech outcomes.

Qualifications

  • 8+ years of machine learning experience.
  • Strong software engineering and technical leadership experience.
  • Experience with Kubernetes, Docker and AWS.
  • Experience integrating ML solutions with labelling/annotation workflows.

Responsibilities

  • Develop innovative Computer Vision and ML solutions from experimentation through to production.
  • Build scalable AI services using Hugging Face, Kubernetes, AWS and GPU infrastructure.
  • Optimise MLOps pipelines to make AI solutions reliable, scalable and production-ready.
  • Apply modern cloud and AI technologies to deliver high-quality, high-impact solutions.

Skills

Machine Learning
Technical leadership
Kubernetes
AWS
Docker
Computer Vision
Production ML

Tools

Hugging Face

Job description

This is an opportunity to join a leading insurance company as a Principal Software Engineer - MLOps, working on innovative engineering solutions at the intersection of software, data and cloud technologies.

The role offers the opportunity to work with modern technologies including Computer Vision, Kubernetes, AWS and GPU-enabled infrastructure, while solving complex challenges within a large-scale enterprise environment.

The organisation is investing significantly in its Analytics Tech capabilities, creating an opportunity to contribute to meaningful business outcomes, shape technical solutions and work on innovative projects that will influence the future of underwriting.

Why You'll Love This Job
  • Collaborate and learn with high-calibre Data Scientists and Engineers, and develop your carrier.
  • Get the opportunity to work at the intersection of advanced AI research and world-class software engineering.
  • You won't just work with ML models, but also learn how to productionise, scale and operationalise them.
  • Shape the future of AI-driven underwriting by influencing technical direction.
What You'll Do
  • Develop innovative Computer Vision and ML solutions from experimentation through to production.
  • Build scalable AI services using Hugging Face, Kubernetes, AWS and GPU infrastructure.
  • Optimise MLOps pipelines to make AI solutions reliable, scalable and production-ready.
  • Apply modern cloud and AI technologies to deliver high-quality, high-impact solutions.
What You Bring
  • 8+ years of Machine Learning experience
  • Strong software engineering and technical leadership experience.
  • Experience with Kubernetes, Docker and AWS.
  • Experience integrating ML solutions with labelling/annotation workflows.
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