MLOps Engineer

Build the ML platform for an ASX-listed company scaling AI across multiple business lines.

Sydney, Australia · HybridPermanentAUD 170k–220k

Representative role.This is a composite of searches we run regularly at this level and stack. If your background matches, apply anyway — we’ll match you to similar live briefs.

An ASX-listed company is building out the ML platform team and needs experienced MLOps engineers. The brief: make it easy for 20+ data scientists to ship models to production reliably.

The stack is AWS + Databricks + MLflow + Terraform + Kubernetes. The team is small but well-supported. The work is a mix of platform engineering (deploy pipelines, feature stores, monitoring) and customer success (unblocking data scientists who can't figure out why their model is slow).

What you’ll do

Own the model deployment pipeline: training → registry → staging → production → monitoring
Build and maintain infrastructure-as-code for ML workloads (Terraform, SageMaker, Databricks)
Set up feature store, experiment tracking, and model monitoring (drift, latency, cost)
Partner directly with data scientists — pair on deployments, debug production issues, teach patterns
Own CI/CD for ML — from notebook to automated pipeline

What you bring

5+ years of DevOps/SRE/Platform Engineering, at least 2 of which on ML-specific workloads
Deep AWS (SageMaker, ECS, Lambda, Step Functions) or GCP (Vertex AI) experience
Terraform or equivalent IaC
Python proficient — not just scripting; you can read and contribute to data-science codebases
Kubernetes literacy

Nice-to-haves

Databricks or Snowflake deep experience
MLflow, Weights & Biases, or Kubeflow at scale
Experience with model monitoring tools (WhyLabs, Arize, Fiddler)

Apply for this role

The Sonitec recruitment team reviews every application. Expect a response within five business days.

1. About you

First name *

Last name *

Email *

LinkedIn profile URL *

Most useful enrichment point for our team — please paste your full profile URL.

2. Your profile

Specialism *

Seniority *

Years of experience *

Are you already based in Sydney? *

YesNo

3. What you’re looking for

Why are you a fit for this role? *

At least 50 characters. This is the part we read first.

Employment type *

Notice period *

Open to *

On-siteHybridRemote

Pick at least one.

4. Compensation

Currency *

What are your salary expectations? *

Please put your expected base salary excluding superannuation.

5. Citizenship & work rights

Citizenship(s) *

List all citizenships you currently hold, comma-separated.

Current Australian visa (if any)

Optional. Pick the closest match — leave blank if not applicable.

I would need visa sponsorship to take an Australian role.

6. CV, comments & consent

Your CV *

PDF or Word document. Max 5MB.

Anything else?

How we handle your details.Sonitec uses the information you provide (including your CV) to identify recruitment opportunities that match your skills and interests. We hold your details for up to 12 months, after which we delete them unless we’ve been in active contact about a role. You can request access, correction, or deletion at any time by emailing info@sonitec.com.au or by replying to the confirmation email. Full details in our Privacy Policy.

I consent to Sonitec holding my details on file for up to 12 months for recruitment purposes, in line with the Privacy Policy.

The information I’ve provided is accurate to the best of my knowledge.