MLOps Engineer

Employers Mutual Management Pty Ltd; Sydney; Hybrid; AUD 120,000 - 170,000; Full time

Benefits offered by this job

Hybrid work options

Fitness Passport discounts

RewardsHub retailer discounts

Wellbeing program

Learning & development opportunities

Job summary

EML is seeking a skilled MLOps Engineer to design, build and maintain scalable Python applications, RESTful APIs and AI workflows in production. You will deploy and optimise LLM inference workloads using vLLM and Ray, and develop containerised services with Docker and Kubernetes.

You will apply prompt engineering techniques, collaborate with technology, AI and business stakeholders, and help deliver secure, production-ready AI solutions with a specialist organisation focused on personal injury.”

Qualifications

• 2+ years of experience as a MLOps engineer or Software Engineer.
• Strong Python development skills and production-ready RESTful APIs.
• CI/CD pipelines experience with GitHub Actions.
• Containerisation with Docker and Kubernetes in production.
• Experience deploying and serving LLMs (vLLM, Ray).
• Knowledge of prompt engineering and LLM evaluation techniques.

Responsibilities

• Design, develop and maintain scalable Python applications and AI solutions.
• Build and optimise CI/CD pipelines (GitHub Actions).
• Deploy and optimise LLM inference workloads in production.
• Develop and maintain containerised apps with Docker and Kubernetes.
• Apply prompt engineering and inference optimisation techniques.
• Collaborate with technology, AI and business stakeholders to deliver secure solutions.

Skills

Python

REST APIs

CI/CD

GitHub Actions

Docker

Kubernetes

Linux Bash

LLM inference

Prompt engineering

Collaboration

Tools

FastAPI

vLLM

Ray

Job description

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.

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.

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.

About Us

There’s huge satisfaction from knowing that your talent and hard work has a purpose. You will be making a difference that counts. Our people care about making a difference. We are looking for people who share our commitment to positive change. Once we have found you, we pull out all the stops to keep you. The focus and support we provide for career development are one of the reasons we have such a vibrant, engaged, and talented team. You will not be forgotten here. Your career at EML will be full of opportunities to gain new skills, work, grow and succeed with us.