MLOps Engineer

Posted 2 Days Ago
Be an Early Applicant
Sydney, New South Wales, AUS
In-Office
Junior
Healthtech • Insurance
The Role
Build and operate production machine learning infrastructure, applications, APIs, CI/CD pipelines, and LLM inference workloads. The role involves Python development, Kubernetes and Docker deployments, automation, prompt engineering, LLM evaluation, inference optimization, and collaboration with technology and business stakeholders. This is a full-time, 12-month fixed-term hybrid position in Sydney.
Summary Generated by Built In
Why Join EML?

An Award-Winning Celebratory Culture That Recognises You


EML is known for its strong culture of appreciation, connection and celebration. Our people benefit from a powerful Reward & Recognition program, with more than 30,000 recognition moments shared in a single year, making our people feel valued and supported.


Flexibility That Supports Your Life


After your probation (subject to performance), you have the flexibility to work from home along with the choice between:

  • Monthly rostered days off, or
  • A 9-day fortnight

giving you more control over your time and work life balance. 

Grow With a Specialist Organisation


Because personal injury is the only thing we do, EML offers one of the most stable and future‑focused careers in the industry. Our deep expertise, purpose‑driven work and development pathways help you build a long‑term career in a field where your skills will always be in demand. EML’s investment in AI-powered technology is designed to reduce admin, giving you more time to focus on making a real difference in people’s lives.


Make a real difference in people's lives with EML


Are you passionate about machine learning, automation and building scalable technology solutions that make a real impact?


As Australia’s largest specialist in personal injury claims management, we’re committed to leveraging technology, data and innovation to improve the way we work and deliver better outcomes for the people we support.

We’re now welcoming applications for an MLOps Engineer to join our supportive, purpose-driven team in Sydney on a full-time, 12-month fixed-term contract.


This is an exciting opportunity to bridge the gap between machine learning development and production, designing and optimising the infrastructure, pipelines and processes that enable reliable, scalable AI solutions. You’ll play a key role in bringing machine learning models into production, driving automation and helping shape how emerging technologies are adopted across our business.

What You’ll Be Doing

  • Design, develop and maintain scalable Python applications, RESTful APIs and AI solutions using modern engineering practices.
  • Build and optimise CI/CD pipelines using GitHub Actions, automating testing, deployment and delivery processes.
  • Deploy and optimise Large Language Model (LLM) inference workloads in production using technologies such as vLLM and Ray.
  • Develop and maintain containerised applications using Docker and Kubernetes, ensuring reliability, performance and scalability.
  • Apply prompt engineering, LLM evaluation and inference optimisation techniques to improve the effectiveness of AI solutions.
  • Collaborate with Technology, AI and business stakeholders to deliver secure, innovative and production-ready solutions.


What We’re Looking For

  • Australian working rights without restriction
  • 2+ years of experience as a MLOps engineer or Software Engineer
  • Strong Python development skills, with hands-on experience building production-ready RESTful APIs using FastAPI.
  • Demonstrated experience with CI/CD pipelines using GitHub Actions, containerisation, and Kubernetes-based application deployment and operations.
  • Practical experience working with Linux environments, developing Bash scripts, and automating deployment and operational workflows.
  • Experience deploying and serving LLMs using technologies such as vLLM and Ray, with an understanding of inference optimisation.
  • Knowledge of prompt engineering, LLM evaluation techniques and best practices for delivering reliable AI applications.
  • A collaborative, solutions-focused mindset, with strong troubleshooting skills, attention to detail and a passion for emerging AI technologies.
  • undefined 

Why You’ll Love Being Part of EML

You’ll enjoy a range of benefits designed to support your wellbeing, growth and success:


  • Hybrid work options for better balance.
  • Fitness Passport providing heavily discounted access to your local gyms, pools and fitness facilities.
  • Discounts at 350+ retailers via RewardsHub plus discounts with corporate banking, super and private health insurance partners.
  • Corporate wellbeing program, including gym and health insurance discounts.
  • Comprehensive learning and development tailored to help you grow.
  • More than a traditional Employee Assistance Program, our EAP provides access to professional medical advice and safety features for our employees and their families
  • Company-wide celebration events that keep us connected.
  • Annual incentive scheme + regular salary reviews.

Ready to Make an Impact?


If you're looking for a purposeful, people‑focused career with stability, balance and a culture that celebrates you we would love to hear from you.

Apply now and help people get their lives back.


Skills Required

  • Australian working rights without restriction
  • 2+ years of experience as an MLOps Engineer or Software Engineer
  • Strong Python development skills
  • Experience building production-ready RESTful APIs using FastAPI
  • Experience with CI/CD pipelines using GitHub Actions
  • Experience with containerisation and Kubernetes-based application deployment and operations
  • Experience with Linux environments and Bash scripting
  • Experience automating deployment and operational workflows
  • Experience deploying and serving LLMs using vLLM and Ray
  • Understanding of inference optimization
  • Knowledge of prompt engineering and LLM evaluation techniques
  • Collaborative, solutions-focused mindset with strong troubleshooting skills and attention to detail
  • Passion for emerging AI technologies

EML Group Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about EML Group and has not been reviewed or approved by EML Group.

  • Flexible Benefits — Hybrid work and rostered‑day‑off arrangements (such as a 9‑day fortnight or monthly RDO) provide meaningful schedule flexibility. These options can help balance high‑pressure roles with predictable time away from daily duties.
  • Parental & Family Support — Paid parental leave for primary and secondary carers and family‑oriented initiatives signal concrete support for caregivers. Some materials also reference superannuation coverage alongside parental leave.
  • Wellbeing & Lifestyle Benefits — Employee wellbeing is supported through EAP and internal care programs, discounted private health insurance and gyms, flu shots, and retailer discount programs. These offerings broaden total rewards beyond base pay.

EML Group Insights

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The Company
HQ: Sydney
232 Employees

What We Do

At EML we take great pride in helping people get their lives back after a workplace injury. Since our foundation in 1910 the EML Group have maintained a singular vision; to dedicate our services to improving work health and safety for the benefit of our members, workers and the broader community which we support. Today, we have over 4,000 specialists working in partnership with businesses, injured workers and government schemes across Australia, helping to make a difference. We are Australia’s largest provider of claims management services for self-insurers and focus on providing tailored injury prevention and return to work support. We have helped well over 350,000 injured workers get their lives back

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