Principal Software Engineer – MLOps
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At a glance
Technologies & skills
What you'll be doing
Join a leading insurance company as a Principal Software Engineer – MLOps, focusing on innovative engineering solutions at the intersection of software, data, and cloud technologies. Work with modern technologies including Computer Vision, Kubernetes, AWS, and GPU-enabled infrastructure to solve complex challenges in a large-scale enterprise environment.
- 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.
Key requirements
Must-have
- 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
Experience: 8+ years
Role signals
- Technical focus
- DevOps
- Leadership
- Mentoring
- Hands-on vs management
- Hands-on
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Full job description
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Long-Term Contract
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Hybrid
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Daily Rate Contract: €600 – €800 per day
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
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Collaborate and learn with high-calibre Data Scientists and Engineers, and develop your carrier.
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Get the opportunity to work at the intersection of advanced AI research and world-class software engineering.
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You won’t just work with ML models, but also learn how to productionise, scale and operationalise them.
What You’ll Do
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Develop innovative Computer Vision and ML solutions from experimentation through to production.
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Build scalable AI services using Hugging Face, Kubernetes, AWS and GPU infrastructure.
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Optimise MLOps pipelines to make AI solutions reliable, scalable and production-ready.
What You Bring
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8+ years of Machine Learning experience
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Strong software engineering and technical leadership experience.
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Experience with Kubernetes, Docker and AWS.
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Experience integrating ML solutions with labelling/annotation workflows.
For more information, contact
For additional opportunities, visit the Archer Recruitment website.
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