In-Demand Machine learning engineer Jobs in Parramatta, Nsw

AI/ML Computational Scientist
Accenture —Sydney NSW
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
Associate Data Scientist
Culture Amp —Sydney NSW
- Master's degree
- SQL
- Machine learning
- Health insurance
- Parental leave
PhD Graduate Machine Learning Engineer Graduate, Trust and Safety Engineering - 2026 Start
TikTok —Sydney NSW
- Doctoral degree
- Computer Science
- Engineering
Technical Solutions Consultant, Google Photos (English, Mandarin)
Google —Sydney NSW
- Full-time
- Bachelor's degree
- No degree
AI Associate
HUB24 —Sydney NSW
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
- Parental leave
2d
Staff Engineer, Datacenter Server Lifecycle
Anthropic —Sydney NSW
- Hybrid work
- Azure
- Management
- AWS
- Parental leave
Software Engineer - Machine Learning
News Corp —Sydney NSW
- Hybrid work
- Azure
- Computer Science
- SQL
- Parental leave
3d
Forward Deployed Engineer
Deloitte —Sydney NSW
- AWS
- APIs
- AI
- Parental leave
Senior Associate, Data Science & AI Solutions Global Markets
Commonwealth Bank —Sydney NSW
- Full-time
- Azure
- Engineering
- Finance
3d
Global Advisory & Markets, GSET FPGA Engineer, Associate / Vice President, Sydney
Goldman Sachs —Sydney NSW
- Full-time
- Computer science
- Computer Science
- Engineering
- Travel reimbursement
- Health insurance
System Engineer - Substation Automation and Control
Siemens —Sydney NSW
- Full-time
- Hybrid work
Senior Software Engineer
Freelancer.com —Sydney NSW
- $160,000 - $180,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Quick Apply
Field Data Engineer (AU)
DroneShield Limited —Sydney NSW
- Full-time
- Engineering
- Bachelor's degree
- No degree
Quick Apply
4d
Artificial Intelligence - Architect
Infosys Singapore & Australia —Sydney NSW
- $800 - $950 a day
- Contract
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
Quick Apply
Senior Engineer, ML Systems (AI Products)
Xero —Sydney NSW
- Full-time
- Hybrid work
- Systems design
- SQL
- AWS
Mid Level AI Models Engineer
Heidi —Sydney NSW
- Full-time
- Remote
- Master's degree
- Machine learning
- AI
- Work from home
- Parental leave
8d
Consultant - Data & Analytics (Open)
Synogize —Sydney NSW
- Full-time
- Hybrid work
- Computer Science
- SQL
- Bachelor's degree
Quick Apply
Senior AI Engineer (AI Innovation Office)
Westpac —Sydney NSW
- Full-time
- Hybrid work
- Management
- Master's degree
- Machine learning
3d
AI Technical Lead
Accenture —Sydney NSW
- Full-time
- Azure
- Master's degree
- AWS
- On-the-job training
- Parental leave
Senior Data Analytics /BI Lead
Macquarie Group Limited —Sydney NSW
- Full-time
- Hybrid work
- Master's degree
- AI
- Analytics
- Annual leave
- Work from home

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machine learning engineer jobs near parramatta, nsw

AI/ML Computational Scientist

Accenture -
Sydney NSW

Apply Now

Job Details

Full-time

Qualifications

Law
Doctoral degree
Computer Science
System architecture
Master's degree
SQL
Education
Bachelor's degree
Machine learning
APIs
Cloud computing
AI
Communication skills

Full Job Description

YOU ARE

As a senior AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle — assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and MLOps/LLMOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.

THE WORK

Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions

Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps

Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC

Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites

Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production

Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools

Justify the value of model approaches in business problems

Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production

EDUCATION

Bachelor's Degree or equivalent

BASIC (REQUIRED) QUALIFICATION

Minimum of 7 years of experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing.

Minimum of 7 years of experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming

Minimum of 5 years of experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks

Minimum of 4 years of experience in building and deploying AI/ML based software to a cloud environment.

PREFERRED QUALIFICATION

Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch)..

Experience working with language models like LLM's APIs and optimizing their usage for specific applications.

Experience with the following programming languages: Python, C++, Java, R, SQL

Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders

Strong client-facing skillsets in a consulting environment

Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams

Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation

MS or PhD in related field preferred (computer science, engineering, etc.)

Apply Now

Refine Your Search

machine learning engineer jobs in parramatta, nsw

AI/ML Computational Scientist

Associate Data Scientist

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

Technical Solutions Consultant, Google Photos (English, Mandarin)

AI Associate

Staff Engineer, Datacenter Server Lifecycle

Software Engineer - Machine Learning

Forward Deployed Engineer

Senior Associate, Data Science & AI Solutions Global Markets

Global Advisory & Markets, GSET FPGA Engineer, Associate / Vice President, Sydney

System Engineer - Substation Automation and Control

Senior Software Engineer

Field Data Engineer (AU)

Artificial Intelligence - Architect

Senior Engineer, ML Systems (AI Products)

Mid Level AI Models Engineer

Consultant - Data & Analytics (Open)

Senior AI Engineer (AI Innovation Office)

AI Technical Lead

Senior Data Analytics /BI Lead

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