Principal Machine Learning Engineer

Mantech Recruitment

Sydney

On-site

AUD 130,000 - 185,000

Full time

14 days+

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Job summary

A leading recruitment agency is seeking a Principal Machine Learning Engineer in Sydney to spearhead the development of cutting-edge LLM-based products for insurance workflows. Ideal candidates will have proven experience in machine learning engineering and a solid understanding of AWS infrastructure. This full-time role offers the opportunity to lead a new team and make a significant impact on technology initiatives.

Qualifications

  • Proven Machine Learning Engineering experience, delivering real-world systems and products at scale.
  • A background in engineering and scaling customer-facing products.
  • Solid understanding of AWS Infrastructure for collaboration purposes.

Responsibilities

  • Lead the design and development of a new LLM-based product focused on insurance customer workflows.
  • Architect, code, and deploy production-grade ML systems using modern tools and frameworks.
  • Mentor team members and grow into a leadership role as the team scales.

Skills

Machine Learning Engineering
AWS Infrastructure
Product Delivery
Team Leadership
Customer-Centric Problem Solving

Education

Bachelor's degree in a relevant field

Tools

Modern ML frameworks

Job description

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Direct message the job poster from Mantech Recruitment

Principal Consultant | Below Average Golfer

Principal Machine Learning Engineer – Sydney, Hybrid – Agentic AI, LLM Systems

I'm searching for a Principal Machine Learning Engineer to lead a newly formed team building cutting-edge products powered by large language models (LLMs) and agentic AI systems. This role sits at the forefront of a high-growth technology initiative, shaping intelligent systems designed to integrate directly into customer workflows.

This role will suit a technical leader with a strong bias toward delivery and real-world impact—someone who’s built ML products, fixed production bugs, collaborated with design teams, and knows what it means to ship customer-facing software at scale.

  • Lead the design and development of a new LLM-based product focused on insurance customer workflows.
  • Architect, code, and deploy production-grade ML systems using modern tools and frameworks.
  • Contribute to product strategy, with visibility across senior leadership with future scalability in mind.
  • Mentor team members and grow into a leadership role as the team scales.
  • Proven Machine Learning Engineering experience, delivering real-world systems and products at scale, powered by LLMs.
  • A background in engineering and scaling customer-facing products
  • Solid understanding of AWS Infrastructure for collaboration purposes
  • A genuine excitement about Agentic AI, LLMs and technology.
  • Customer-obsessed: seeing AI as a means to solve real user problems.
  • Bachelors or higher in a relevant field

If you’re interested in making your mark at a reputable organisation, shaping their future success, please apply with your most up-to-date CV & I’ll be in touch.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    Software Development and IT System Custom Software Development

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