In-Demand Lead machine learning engineer Jobs in Sydney Nsw

Machine Learning Engineer / Data Scientist
The Argyle Network —Sydney NSW
- $150,000 a year
- Full-time
- SQL
- AWS
- AI
Senior Software Engineer, Machine Learning
Mary Technology —Sydney NSW
- Full-time
- Research
- Master's degree
Quick Apply
Machine Learning Engineer Graduate (Trust and Safety Engineering) - 2027 Start (BS/MS)
TikTok —Sydney NSW
- Doctoral degree
- Computer Science
- Engineering
Senior Machine Learning / ML Engineer
Xero —Sydney NSW
- Full-time
- Hybrid work
- Systems design
- SQL
- AWS
Machine Learning Engineer (LLM/VLM) - Trust and Safety (Australia)
TikTok —Sydney NSW
- Master's degree
- Machine learning
- AI
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 - 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
Machine Learning Engineering Manager
icare —Sydney NSW
- Full-time
- DevOps
- Master's degree
- AWS
- Employee assistance program
- Gym membership
Machine Learning Engineering Manager
iCare External —Sydney NSW
- DevOps
- Master's degree
- AWS
- Employee assistance program
- Gym membership
Lead Engineer - Developer Experience
Macquarie Group Limited —Sydney NSW
- Full-time
- Hybrid work
- Master's degree
- AI
- Annual leave
- Work from home
Lead Engineer
Zurich Insurance —North Sydney NSW
- Full-time
- Hybrid work
- Master's degree
- AWS
- Machine learning
- Annual leave
- Parental leave
14d
Lead Software Engineer, Payments Technology
JPMorganChase —Sydney NSW
- Full-time
- Computer Science
- Systems design
- Bachelor's degree
Product Manager - Video Analytics
Unleash live —Barangaroo NSW
- $110,000 - $140,000 a year
- Full-time
- Hybrid work
- No degree
- AI
- Travel reimbursement
- Work from home
Quick Apply
7d
Senior Solutions Engineer (AU)
DroneShield Limited —Sydney NSW
- Full-time
- Engineering
- Bachelor's degree
- No degree
Quick Apply
Senior Solutions Engineer
NetApp —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Sales
- DevOps
- Annual leave
- Employee assistance program
Engineering Lead/Manager, Risk (Relocate to Singapore)
Airwallex —Sydney NSW
- Full-time
- Management
- Computer Science
- Salesforce
Critical Search Engineer
Particular Audience —Darlinghurst NSW
- From $130,000 a year
- Full-time
- Azure
- Master's degree
- Databases
Quick Apply
14d
Lead Engineer, Engineering Productivity
Neara —Sydney NSW
- Full-time
- Hybrid work
- AI
- Communication skills
Lead Data Scientist
Socialtrait —North Sydney NSW
- $150,000 - $170,000 a year
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
Quick Apply

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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

lead machine learning engineer jobs in sydney nsw

Machine Learning Engineer / Data Scientist

Senior Software Engineer, Machine Learning

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

Senior Machine Learning / ML Engineer

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

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

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

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

Machine Learning Engineering Manager

Machine Learning Engineering Manager

Lead Engineer - Developer Experience

Lead Engineer

Lead Software Engineer, Payments Technology

Product Manager - Video Analytics

Senior Solutions Engineer (AU)

Senior Solutions Engineer

Engineering Lead/Manager, Risk (Relocate to Singapore)

Critical Search Engineer

Lead Engineer, Engineering Productivity

Lead Data Scientist

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