In-Demand Ml engineer Jobs in New South Wales

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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
Expression of Interest- Data Scientists
Woolworths Group —Bella Vista NSW
- Full-time
- Computer Science
- Merchandising
- Engineering
Data Engineer
Pyramid Global Technologies —New South Wales
- Computer Science
- SQL
- Machine learning
Platform Engineer / Operations Engineer - (ML / AI)
Nearmap —Barangaroo NSW
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Master's degree
- Vision insurance
- Free food
Quick Apply
Machine Learning Engineer / Data Scientist
The Argyle Network —Sydney NSW
- $150,000 a year
- Full-time
- SQL
- AWS
- AI
Full Stack Software Engineer - Agentic AI
NinjaTech AI —Sydney NSW
- $160,000 - $190,000 a year
- Full-time
- Computer Science
- AWS
- Bachelor's degree
- Health insurance
- Annual leave
Senior Signal Processing Engineer
ResMed —Bella Vista NSW
- Full-time
- Doctoral degree
- Engineering
- Data analysis skills
Staff Data Scientist
Mutinex —Chippendale NSW
- Hybrid work
- Doctoral degree
- Writing skills
- Engineering
Quick Apply
AI Engineer (12 Month Contract)
Chubb —Sydney NSW
- Full-time
- Computer Science
- Engineering
- Master's degree
Senior Machine Learning / ML Engineer
Xero —Sydney NSW
- Full-time
- Hybrid work
- Systems design
- SQL
- AWS
Associate Managing Consultant, Strategy and Transformation - Generative AI Engineer / Generative AI Data Scientist
Mastercard —St Leonards NSW
- Full-time
- Azure
- Computer Science
- Engineering
Lead AI Scientist
Rhino Partners Pty Ltd —Barangaroo NSW
- $180,000 - $200,000 a year
- Full-time
- Hybrid work
- Azure
- Management
- Patient monitoring
Quick Apply
14d
Data, AI, and Machine Learning | Multiple Opportunities Available
Deloitte —Sydney NSW
- Azure
- Engineering
- Master's degree
- Parental leave
Embedded Linux Engineer
Coates Group —Sydney NSW
- Full-time
- Hybrid work
- AI
- Opportunities for advancement
Quick Apply
Data Center Electrical Engineer
Anthropic —Sydney NSW
- Hybrid work
- Schematics
- Engineering
- Electrical experience
- Parental leave
Staff Applied Modeling Engineer - Unpublished R&D Product
Riot Games —Sydney NSW
- Computer Science
- Research
- Bachelor's degree
- Health insurance
- Dental insurance
Quick Apply
14d
Senior Data Engineer
Vivanti Consulting —The Rocks NSW
- $100,000 - $180,000 a year
- Full-time
- Microsoft Word
- Azure
- Computer Science
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
Data Scientist (Fraud)
Kasada —Sydney NSW
- Full-time
- Hybrid work
- Research
- SQL
- AWS
- Parental leave
- Employee assistance program
UX Developer
HammondCare —St Leonards NSW
- Full-time
- Research
- Bachelor's degree
- AI
- Parental leave
- Referral program

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ml engineer jobs near new south wales

Machine Learning Engineer

Lucas G. Data Technologies
Sydney NSW

Quick Apply

Job Details

Permanent | Full-time
$7,943.54 - $10,743.56 a month

Qualifications

CI/CD
Statistics
Data modelling
Azure
Doctoral degree
Computer Science
Engineering
Google Cloud Platform
Master's degree
SQL
AWS
Docker
Bachelor's degree
Deep learning
APIs
AI

Full Job Description

Machine Learning Engineer — Job Description

Position summary

Design, build, and productionize ML models and data pipelines to deliver scalable, reliable, and monitored machine‑learning features and products.

Key responsibilities

Model development: Research, prototype, and implement ML models (supervised, unsupervised, deep learning) tailored to product needs.
Data engineering: Ingest, clean, and feature‑engineer large datasets; design repeatable ETL/feature pipelines.
Productionization: Deploy models to production (model serving, APIs, batch jobs), optimize inference latency and throughput, and manage versioning.
Scalability &* reliability:* Design systems for horizontal scaling, fault tolerance, and cost efficiency (GPU/TPU usage, autoscaling).
Evaluation &* monitoring:* Define evaluation metrics, perform cross‑validation, A/B testing, and implement model monitoring (drift, performance, data quality).
MLOps &* CI/CD:* Build CI/CD pipelines for model training, testing, deployment, and rollback; automate retraining and deployment workflows.
Infrastructure &* tooling:* Work with cloud platforms and ML infrastructure (Kubernetes, Docker, MLflow, Sagemaker, Vertex AI) and optimize resource use.
Collaboration: Partner with data scientists, product managers, software engineers, and SRE to integrate models into products and services.
Interpretability &* fairness:* Implement model explainability, bias detection/mitigation, and privacy‑preserving techniques where applicable.
Research &* continuous learning:* Stay current with ML research and translate innovations into practical improvements.
Documentation &* governance:* Document model designs, assumptions, data lineage, and support compliance/audit requirements.

Required qualifications

Bachelor’s or Master’s degree in Computer Science, Statistics, Engineering, or related field (or equivalent experience).
2+ years experience deploying ML models to production (varies by seniority).
Strong programming skills in Python and experience with ML libraries (TensorFlow, PyTorch, scikit‑learn).
Experience with data processing tools (Pandas, Spark) and SQL.
Familiarity with model serving frameworks, containerization (Docker), and orchestration (Kubernetes).
Solid understanding of ML fundamentals (training, generalization, regularization) and evaluation metrics.

Preferred qualifications

Advanced degree (MS/PhD) in ML/AI, applied statistics, or related field.
Experience with cloud ML platforms (AWS SageMaker, GCP Vertex AI, Azure ML) and MLOps tools (MLflow, Kubeflow).
Experience with deep learning at scale, transformers, or specialized domains (NLP, CV, recommender systems).
Background in software engineering best practices, distributed systems, and performance optimization.
Familiarity with privacy techniques (differential privacy, federated learning) and regulatory considerations.

Pay: $7,943.54 – $10,743.56 per month

Work Location: In person

Quick Apply

Refine Your Search

ml engineer jobs in new south wales

Machine Learning Engineer

Expression of Interest- Data Scientists

Data Engineer

Platform Engineer / Operations Engineer - (ML / AI)

Machine Learning Engineer / Data Scientist

Full Stack Software Engineer - Agentic AI

Senior Signal Processing Engineer

Staff Data Scientist

AI Engineer (12 Month Contract)

Senior Machine Learning / ML Engineer

Associate Managing Consultant, Strategy and Transformation - Generative AI Engineer / Generative AI Data Scientist

Lead AI Scientist

Data, AI, and Machine Learning | Multiple Opportunities Available

Embedded Linux Engineer

Data Center Electrical Engineer

Staff Applied Modeling Engineer - Unpublished R&D Product

Senior Data Engineer

Machine Learning Engineer

Data Scientist (Fraud)

UX Developer

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