In-Demand Machine learning engineer / data Jobs

Machine Learning Engineer / Data Scientist
The Argyle Network —Sydney NSW
- $150,000 a year
- Full-time
- SQL
- AWS
- AI
Data, AI, and Machine Learning | Multiple Opportunities Available
Deloitte —Sydney NSW
- Azure
- Engineering
- Master's degree
- Parental leave
Machine Learning Engineer - Capital Investment - Data & AI - Sydney
The Argyle Network —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Master's degree
- Databases
Machine Learning Engineer Graduate (Trust and Safety Engineering) - 2027 Start (BS/MS)
TikTok —Sydney NSW
- Doctoral degree
- Computer Science
- Engineering
Staff Machine Learning Engineer
Xero —Sydney NSW
- Full-time
- Hybrid work
- Systems design
- SQL
- AWS
11d
Machine Learning Engineer (LLM/VLM) - Trust and Safety (Australia)
TikTok —Sydney NSW
- Master's degree
- Machine learning
- AI
Machine Learning Engineer
Lucas G. Data Technologies —Sydney NSW
- $7,943.54 - $10,743.56 a month
- Full-time
- Azure
- Doctoral degree
- Computer Science
Quick Apply
9d
Machine Learning Engineer Graduate, Trust and Safety Engineering - 2026 Start
TikTok —Sydney NSW
- Doctoral degree
- Computer Science
- Engineering
PhD Graduate Machine Learning Engineer Graduate, Trust and Safety Engineering - 2026 Start
TikTok —Sydney NSW
- Doctoral degree
- Computer Science
- Engineering
Data Engineer
Pyramid Global Technologies —New South Wales
- Computer Science
- SQL
- Machine learning
Staff Machine Learning Engineer (Platform)
Neara —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Writing skills
- AWS
2d
Data Engineer
Vapar —Sydney NSW
- $120,000 - $150,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Data analysis skills
- Travel reimbursement
- Employee stock purchase plan
Quick Apply
Machine Learning Engineer
Timescapes —Sydney NSW
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Bachelor's degree
- Health insurance
- Employee assistance program
Quick Apply
Machine Learning Engineer
Mutinex —South Melbourne VIC
- Hybrid work
- Machine learning
- APIs
- Annual leave
- Work from home
Quick Apply
Graduate Software Engineer
ResMed —Sydney NSW
- Full-time
- Computer science
- Computer Science
- Engineering
Graduate Consultant - Data & Analytics (Open)
Synogize —Sydney NSW
- Full-time
- Hybrid work
- Computer science
- Computer Science
- SQL
Quick Apply
Data Engineer
Accenture —Ballarat VIC
- Full-time
- Azure
- Computer Science
- Engineering
- Parental leave
Machine Learning Engineer Team Lead
SoftwareONE —Canberra ACT
- Azure
- Machine learning
- Agile
Senior Machine Learning / ML Engineer
Xero —Sydney NSW
- Full-time
- Hybrid work
- Systems design
- SQL
- AWS
Application Support Engineer - Employment Information Kit
ConnectEast —Ringwood VIC
- Part-time
- Oracle
- Management
- Computer Science
- Employee assistance program
6d

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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 engineer / data jobs

Machine Learning Engineer / Data Scientist

Data, AI, and Machine Learning | Multiple Opportunities Available

Machine Learning Engineer - Capital Investment - Data & AI - Sydney

Machine Learning Engineer Graduate (Trust and Safety Engineering) - 2027 Start (BS/MS)

Staff Machine Learning Engineer

Machine Learning Engineer (LLM/VLM) - Trust and Safety (Australia)

Machine Learning Engineer

Machine Learning Engineer Graduate, Trust and Safety Engineering - 2026 Start

PhD Graduate Machine Learning Engineer Graduate, Trust and Safety Engineering - 2026 Start

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Staff Machine Learning Engineer (Platform)

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Machine Learning Engineer

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Graduate Consultant - Data & Analytics (Open)

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Senior Machine Learning / ML Engineer

Application Support Engineer - Employment Information Kit

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