In-Demand Learning engineer / data scientist Jobs in Sydney, Nsw

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
2d
Machine Learning Engineer
Xero —Sydney NSW
- Full-time
- Hybrid work
- SQL
- AWS
- AI
5d
Staff Applied AI Scientist
Culture Amp —Sydney NSW
- Master's degree
- AI
- Communication skills
- Health insurance
- Parental leave
4d
Senior Data Scientist
Microsoft —Sydney NSW
- Full-time
- Doctoral degree
- Research
- Master's degree
3d
Data Scientist / Senior Data Scientist (Grid Insights)
Gridsight —Kensington NSW
- Full-time
- Doctoral degree
Quick Apply
2d
Marketing Analytics Lead
UpGuard —Sydney NSW
- $1,500 a year
- Full-time
- Remote
- Salesforce
- AI
- Leadership
- Annual leave
- Parental leave
Senior Data Engineer - Data & AI
Axsys —Sydney NSW
- Computer science
- Computer Science
- DevOps
- Parental leave
4d
Manager, Data Science
Visa AP (Australia) Pty Ltd —Sydney NSW
- Full-time
- Doctoral degree
- Data analysis skills
- Master's degree
Associate Product Specialist, Product Management, 2027 Launch Graduate Program - Sydney, Australia
Mastercard —St Leonards NSW
- Full-time
- Master's degree
- Product management
- APIs
4d
Member of Technical Staff
Artificial Analysis, Inc. —Sydney NSW
- Full-time
- Data analysis skills
- Analysis skills
- AI
Quick Apply
3d
Data Centre - Mechanical Engineer, Associate Director
AECOM —Sydney NSW
- Full-time
- Hybrid work
- Leadership
Engineering Geologist / Geotechnical Engineer I NSW
AECOM —Sydney NSW
- Full-time
- Hybrid work
- Bachelor's degree
- Civil Engineering
- Communication skills
Chief Engineer
Commonwealth Bank —Sydney NSW
- Full-time
- AWS
- Machine learning
- Scripting
9d
Senior AI Engineer
h2o.ai —Sydney NSW
- Full-time
- Azure
- Master's degree
- AWS
Quick Apply
Marketing Science Partner
Mutinex —Chippendale NSW
- Hybrid work
- Analytics
- Annual leave
- Work from home
Quick Apply
Principal Technical Program Manager - ISE
Microsoft —Sydney NSW
- Full-time
- Engineering
- Data analysis skills
- Bachelor's degree
1d
Lead AI Engineer - DDAI
Westpac —Sydney NSW
- Full-time
- Hybrid work
- Azure
- AWS
- Scripting
Senior Software Engineer
RELX —Sydney NSW
- Full-time
- Scripting
- Health insurance
- Work from home
Associate Director - AI Engineer
Deloitte —Sydney NSW
- Azure
- Computer Science
- DevOps
- Parental leave
Senior Software Engineer II
RELX —Sydney NSW
- Full-time
- Scripting
- Health insurance
- Work from home

I want to receive the latest job alert for learning engineer / data scientist in sydney, nsw

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

learning engineer / data scientist jobs near sydney, nsw

Machine Learning Engineer jobs in Sydney NSW

Associate Director jobs in Sydney NSW

Senior Software Engineer jobs in Sydney NSW

Data Center Engineer jobs in Sydney NSW

Ai Developer jobs in Sydney NSW

Applied Scientist jobs in Sydney NSW

Chief Engineer jobs in Sydney NSW

Senior Data Scientist jobs in Sydney NSW

Data Engineer jobs in Sydney NSW

Electrical Engineer, Internship jobs in Melbourne Vic

Student Civil Engineer, Cadet jobs in Sydney Nsw

Machine Learning Engineer jobs in Brisbane Qld

Machine Learning Engineer jobs in Greater Brisbane Qld

Electrical Engineer, Internship jobs in Sydney Nsw

Machine Learning Engineer jobs in Canberra Bc Act

Data Scientist jobs in Parkville Vic

Data Center Technician jobs in Sydney Nsw

Data Scientist jobs in Sydney Nsw

Head Of Data Analytics jobs in Sydney Nsw

Data Scientist jobs in Brisbane Qld

Machine Learning Engineer

Lucas G. Data Technologies
Sydney NSW

Quick Apply

Job Details

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

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

learning engineer / data scientist jobs in sydney, nsw

Machine Learning Engineer

Machine Learning Engineer

Staff Applied AI Scientist

Senior Data Scientist

Data Scientist / Senior Data Scientist (Grid Insights)

Marketing Analytics Lead

Senior Data Engineer - Data & AI

Manager, Data Science

Associate Product Specialist, Product Management, 2027 Launch Graduate Program - Sydney, Australia

Member of Technical Staff

Data Centre - Mechanical Engineer, Associate Director

Engineering Geologist / Geotechnical Engineer I NSW

Chief Engineer

Senior AI Engineer

Marketing Science Partner

Principal Technical Program Manager - ISE

Lead AI Engineer - DDAI

Senior Software Engineer

Associate Director - AI Engineer

Senior Software Engineer II

I want to receive the latest job alert for learning engineer / data scientist in sydney, nsw

Related Searches

Explore jobs in more locations

Job Seeker Tools

Employer Tools

Browse

Stay Connected