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Open nowPosted 2 days ago

MLOps Engineer

eml36 open roles

Where
Sydney, New South Wales
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Your applicationOpen nowMLOps Engineereml · Sydney, New South Wales

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on eml's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market. eml postings stay open a median of 13 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted 2 days ago

eml median: 13 days open

The posting

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.

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