In-Demand Machine learning engineer Jobs in Sydney Nsw

Senior/Principal Machine Learning Engineer - Aus
Harrison.ai —Sydney NSW
- Full-time
- Remote
- Doctoral degree
- Research
- AWS
Machine Learning Engineer
Timescapes —Sydney NSW
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Bachelor's degree
- Health insurance
- Employee assistance program
Quick Apply
Senior Machine Learning Engineer
Prezzee —Sydney NSW
- Azure
- AWS
- Machine learning
- Work from home
- Parental leave
Quick Apply
6d
Machine Learning Engineer / Data Scientist
The Argyle Network —Sydney NSW
- $150,000 a year
- Full-time
- SQL
- AWS
- AI
Senior Machine Learning Engineer
Greenroom Robotics —Sydney NSW
- Agile
- Communication skills
Staff Machine Learning Engineer (Platform)
Neara —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Writing skills
- AWS
Senior Machine Learning Engineer (Platform / MLOPs)
Nearmap —Barangaroo NSW
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Master's degree
- Vision insurance
- Free food
Quick Apply
Machine Learning Engineer Graduate (Trust and Safety Engineering) - 2027 Start (BS/MS)
TikTok —Sydney NSW
- Doctoral degree
- Computer Science
- Engineering
Machine Learning Engineer (LLM/VLM) - Trust and Safety (Australia)
TikTok —Sydney NSW
- Master's degree
- Machine learning
- AI
Software Engineer
Bay2Bay Cleaning Pty Ltd —Sydney NSW
- $100,000 - $120,000 a year
- Full-time
- Hybrid work
- CRM software
- Azure
- Management
Quick Apply
Senior Software Engineer, Machine Learning
Mary Technology —Sydney NSW
- Full-time
- Research
- Master's degree
Quick Apply
Machine Vision Engineer
Veridapt —Chatswood NSW
- Hybrid work
- AI
- Parental leave
- Employee assistance program
1d
Machine Learning Engineer - Capital Investment - Data & AI - Sydney
The Argyle Network —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Master's degree
- Databases
PhD Graduate Machine Learning Engineer Graduate, Trust and Safety Engineering - 2026 Start
TikTok —Sydney NSW
- Doctoral degree
- Computer Science
- Engineering
Graduate Software Engineer
ResMed —Sydney NSW
- Full-time
- Computer science
- Computer Science
- Engineering
Operation Engineer , AWS Managed Services
Amazon Web Services Australia Pty Ltd —Sydney NSW
- Full-time
- DevOps
- Administrative experience
- AWS
AI/ML Computational Scientist
Accenture —Sydney NSW
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
7d
Solutions Engineer
Nearmap —Barangaroo NSW
- Full-time
- Hybrid work
- Computer Science
- Bachelor's degree
- Machine learning
- Free food
Quick Apply
AI Engineer
Westpac —Sydney NSW
- Full-time
- Master's degree
- APIs
- AI
Senior Data Engineer
Showtime Consulting —Sydney NSW
- Full-time
- CRM software
- SQL
- AWS
Quick Apply
9d

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machine learning engineer jobs near sydney nsw

Senior/Principal Machine Learning Engineer - Aus

Harrison.ai
Sydney NSW

Apply Now

Job Details

Full-time

Qualifications

Doctoral degree
Bachelor honours degree
Computer vision
Research
AWS
Product development
Cloud development
Deep learning
Natural language processing
Software development
AI

Full Job Description

What we’re about

At Harrison.ai, we’re redefining what’s possible in healthcare. Through our diagnostic AI solutions, we’re building tools that support clinicians to deliver earlier, more accurate diagnoses and raise the standard of care for millions of patients worldwide.

Our mission is bold but simple: to scale global healthcare capacity and create a fairer, healthier world. By using AI as a co-pilot for clinicians, we’re tackling one of healthcare’s biggest challenges, the shortage of human expertise, and giving every patient the chance to access timely, high-quality care, no matter where they live.

Because while we’re building cutting-edge AI, what we’re really building is hope—that everyone can access the healthcare they deserve.

And we’re just getting started.

About Your Role

Reporting to the Head of AI Engineering, the Senior/Principal ML Engineer translates the latest advances in artificial intelligence, including foundation models and self-supervised learning, into AI-as-a-medical-device products. Our AI Engineers work in dynamic teams alongside Software Developers, Testers, Cloud DevOps and Integration Engineers. We're looking for a self-starter whose passion for learning shows in the adoption of new tools and best practice. As part of our R&D team, we offer the unique opportunity to make a direct, meaningful impact on the lives of patients and their families.

What You'll Do:

Develop AI algorithms, prototypes and solutions for healthcare, with a focus on foundation models and self-supervised learning;
Optimise models and training pipelines for accuracy, scale and rapid experimentation;
Follow agile methodology and software engineering best practice, focussing on test-driven development, rapid prototyping, validation and iteration;
Provide regular technical and other progress reports relevant to projects, and ensure all progression is properly documented;
Engage with the literature to benchmark against and adopt state-of-the-art techniques and algorithms;
Rigorously evaluate generative AI models, and partner closely with teams training models at scale; and
Contribute to a culture of excellence, helping to solve problems as they arise, instil a culture of best practice, integrity and agility, as well as champion the Harrison mission internally and externally.

What You'll Bring:

Extensive experience in an ML engineering or applied research role, working closely with software development teams;
Extensive experience with Python and modern deep learning frameworks such as PyTorch;
Hands-on experience building foundation models and self-supervised learning methods;
Honours or higher academic qualification in computer science, and/or strong quantitative grounding and equivalent software engineering work experience; and
Experience evaluating generative AI models and partnering with model training at scale.

Nice to have skills and characteristics:

Experience with healthcare data and solutions;
Practical experience in building, deploying and testing ML models in a product development context using software engineering best practices;
Experience with large-scale distributed training, AWS cloud development, and/or computer vision and natural language processing;
Experience with a range of AI tools and techniques;
PhD in ML or equivalent research experience; and
Publications or open-source contributions in foundation models, self-supervised learning or generative AI.

Why join us?

Innovate for Global Good. Join us to pioneer world-first AI technology that transforms patient outcomes and helps build a healthier, fairer world.

Collaboration Across Continents. Work with brilliant minds from every corner of the globe in a culture built on trust, autonomy, and genuine teamwork.

Well-Funded & Global. Backed by world-class investors including Aware Super, Blackbird Ventures, Skip Capital, and Horizons Ventures, we’ve raised over US$240M to accelerate our global impact.

Scale Your Potential. Tap into yearly L&D budgets, mentoring, hackathons, and secondments—all supported by a transparent growth framework to grow your career.

Flex for Life. Work when and where you do your best—with WFH options, flexible hours, and the autonomy to make an impact your way.

Support for Every Family Journey. From fertility to parenthood, loss, and even grandparenthood—we provide inclusive, thoughtful policies to support families in every stage.

What's next?

If you’re inspired by what we're up to, please apply now and we'll be in touch soon.

We are proud to be an Equal Opportunity Employer. Diversity’s not a buzzword here, it’s in our DNA. Diverse perspectives shape our culture and make our work better. We’re committed to building inclusive teams that represent a variety of backgrounds and skills. We look forward to hearing from you.

Apply Now

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machine learning engineer jobs in sydney nsw

Senior/Principal Machine Learning Engineer - Aus

Machine Learning Engineer

Senior Machine Learning Engineer

Machine Learning Engineer / Data Scientist

Senior Machine Learning Engineer

Staff Machine Learning Engineer (Platform)

Senior Machine Learning Engineer (Platform / MLOPs)

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

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

Software Engineer

Senior Software Engineer, Machine Learning

Machine Vision Engineer

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

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

Graduate Software Engineer

Operation Engineer , AWS Managed Services

AI/ML Computational Scientist

Solutions Engineer

AI Engineer

Senior Data Engineer

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