In-Demand Machine learning operations architect Jobs in Sydney, Nsw

Machine Learning Engineer / Data Scientist
The Argyle Network —Sydney NSW
- $150,000 a year
- Full-time
- SQL
- AWS
- AI
Databricks Resident Solutions Architect
Ultra Tendency —Sydney NSW
- Remote
- Spanish
- Azure
- Master's degree
Quick Apply
AI LLM Architect
Accenture —Sydney NSW
- Full-time
- Master's degree
- Education
- Bachelor's degree
- On-the-job training
- Parental leave
Senior Machine Learning Engineer
Greenroom Robotics —Sydney NSW
- Agile
- Communication skills
Sales Strategy & Operations Manager, ANZ
Okta —Sydney NSW
- Sales
- Salesforce
- AI
Sr. Specialist SA Containers, Startup WWSO, AWS
Amazon Web Services Australia Pty Ltd —Sydney NSW
- Full-time
- Management
- Computer Science
- DevOps
Head of Risk
NEXT Ventures —Sydney NSW
- Full-time
- Hybrid work
- Bachelor's degree
- AI
Quick Apply
Forward Deployed Engineer, Generative AI, GECX, Google Cloud
Google —Sydney NSW
- Full-time
- Computer science
- Microsoft Excel
- Doctoral degree
7d
Staff Engineer | Cyber Security
Macquarie Group Limited —Sydney NSW
- Full-time
- Hybrid work
- Azure
- AWS
- Annual leave
- Work from home
Senior Data Analytics /BI Lead
Macquarie Group Limited —Sydney NSW
- Full-time
- Hybrid work
- Master's degree
- AI
- Analytics
- Annual leave
- Work from home
Senior Databricks Consulting Engineer
Ultra Tendency —Sydney NSW
- Remote
- Spanish
- Azure
- Master's degree
Quick Apply
Azure Cloud Customer Experience Engineer 2
Microsoft —Sydney NSW
- Full-time
- Azure
- Management
- Computer Science
3d

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machine learning operations architect jobs near sydney, nsw

Machine Learning Engineer / Data Scientist

The Argyle Network
Sydney NSW

Apply Now

Job Details

Permanent | Full-time
$150,000 a year

Qualifications

MCP
SQL
AWS
Terrafrom
S3
Redshift
AI

Full Job Description

Machine Learning Engineer / Data Scientist

Build. Shape. Lead. The company’s first Machine Learning hire.

This is a rare opportunity for a Machine Learning Engineer / Data Scientist to take the lead in building something truly new — my client's first dedicated ML capability within its growing Registry business.

You’ll join at an exciting inflection point, where technology and financial data intersect, and where machine learning can transform how insights are created, decisions are made, and value is delivered.

This person will have the freedom to set the technical direction, choose the tools, and shape the strategy for how ML and AI are embedded across the platform — working in a team that values creativity, experimentation, and tangible outcomes over bureaucracy.

What You’ll Do

Lead the ML journey – own end-to-end projects from concept through to production deployment and monitoring.
Build smart systems – develop models for anomaly detection, forecasting, and data quality improvement that directly impact how the business operates.
Engineer solid foundations – design scalable data pipelines using AWS technologies like Glue, Athena, Redshift, and Kinesis.
Create best practice – establish MLOps processes, model governance, and retraining frameworks from the ground up.
Collaborate widely – work with technology, product, and operations teams to uncover high-impact ML use cases and deliver measurable results.

What You Bring

Hands-on expertise with the AWS ML ecosystem (SageMaker, Glue, Athena, Redshift, Lambda, S3).
Strong foundations in data science and machine learning, including feature engineering, model evaluation, and optimisation.
Confident programming skills in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL.
Experience building and deploying ML models in production, with a solid understanding of MLOps.
A builder’s mindset — comfortable operating with autonomy and ownership in a greenfield environment.

Bonus Points For

Experience working with financial, registry, or market data.
Knowledge of AWS Bedrock, Generative AI, or agentic AI frameworks (LangGraph, CrewAI, RAG, MCP).
Experience using Infrastructure as Code (Terraform or CloudFormation).

Why It’s a Big Deal
As the first Machine Learning hire, this person will define how the business approaches AI — from architecture and pipelines to strategy and culture. They’ll have a direct line to leadership, the scope to experiment, and the chance to make visible, high-impact contributions from day one.

This is a role for someone who thrives in a fast-moving environment, enjoys solving complex data challenges, and wants to build, not just maintain . If you’re excited by the idea of being the architect of something lasting — and turning financial data into intelligent systems that drive the future of the business — this is the opportunity.

To be selected for this role, you must have PERMANENT (Not Temporary), unrestricted work rights for Australia.

Apply Now

Refine Your Search

machine learning operations architect jobs in sydney, nsw

Machine Learning Engineer / Data Scientist

Databricks Resident Solutions Architect

AI LLM Architect

Senior Machine Learning Engineer

Sales Strategy & Operations Manager, ANZ

Sr. Specialist SA Containers, Startup WWSO, AWS

Head of Risk

Forward Deployed Engineer, Generative AI, GECX, Google Cloud

Staff Engineer | Cyber Security

Senior Data Analytics /BI Lead

Senior Databricks Consulting Engineer

Azure Cloud Customer Experience Engineer 2

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