In-Demand Intelligence / 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 - Capital Investment - Data & AI - Sydney
The Argyle Network —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Master's degree
- Databases
Forward Deployed Engineer, Generative AI, GECX, Google Cloud
Google —Sydney NSW
- Full-time
- Computer science
- Microsoft Excel
- Doctoral degree
Staff Machine Learning Engineer (Platform)
Neara —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Writing skills
- AWS
Associate AI Engineer
VECTON AI —Sydney NSW
- Part-time
- Hybrid work
- Doctoral degree
- Computer Science
- Research
- Travel reimbursement
- Parental leave
Quick Apply
Senior Machine Learning Engineer
Greenroom Robotics —Sydney NSW
- Agile
- Communication skills
Systems Analyst, Region Services
Amazon Support Services Pty Ltd —Sydney NSW
- Full-time
- Computer Science
- Engineering
- AWS
Data Scientist, Applied Science
Future Secure AI —Sydney NSW
- $110,000 - $210,000 a year
- Azure
- Doctoral degree
- Computer Science
Quick Apply
AI Engineer - FDE (Forward Deployed Engineer)
Databricks —Sydney NSW
- Azure
- Computer Science
- AWS
Associate DevOps Analyst
Amazon Support Services Pty Ltd —Sydney NSW
- Full-time
- Computer Science
- Engineering
- AWS
AWS Consultant - AWS Connect - CX
Concentrix —Sydney NSW
- Full-time
- DevOps
- SQL
- AWS
MLOps / AI Engineer
Tata Consultancy Services —Sydney NSW
- On call
- Azure
- Management
- Master's degree
Sr. Researcher - Multimodal AI
Dolby —Sydney NSW
- Doctoral degree
- Computer Science
- Machine learning
Associate Systems Engineer
Amazon Support Services Pty Ltd —Sydney NSW
- Full-time
- Computer Science
- Software troubleshooting
- AWS
Forward Deployed Engineering Manager, Gen AI
Google —Sydney NSW
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Graduate Software Engineer, EOS - Sydney
Arista Networks —Sydney NSW
- Full-time
- Computer Science
- Bachelor's degree
- Communication skills
Quick Apply
14d
Graduate Consultant - Data & Analytics (Open)
Synogize —Sydney NSW
- Full-time
- Hybrid work
- Computer science
- Computer Science
- SQL
Quick Apply
Front-End Software Engineer, Google Photos
Google —Sydney NSW
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
Software Engineer
Bay2Bay Cleaning Pty Ltd —Sydney NSW
- $100,000 - $120,000 a year
- Full-time
- Hybrid work
- CRM software
- Azure
- Management
Quick Apply
13h
Data Scientist
AI Talent —Barangaroo NSW
- $70,000 - $120,000 a year
- 8 hour shift
- Hybrid work
- Azure
- Doctoral degree
- Master's degree
- Work from home
Quick Apply
9d

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intelligence / 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

Refine Your Search

intelligence / machine learning engineer jobs in sydney, nsw

Senior/Principal Machine Learning Engineer - Aus

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

Forward Deployed Engineer, Generative AI, GECX, Google Cloud

Staff Machine Learning Engineer (Platform)

Associate AI Engineer

Senior Machine Learning Engineer

Systems Analyst, Region Services

Data Scientist, Applied Science

AI Engineer - FDE (Forward Deployed Engineer)

Associate DevOps Analyst

AWS Consultant - AWS Connect - CX

MLOps / AI Engineer

Sr. Researcher - Multimodal AI

Associate Systems Engineer

Forward Deployed Engineering Manager, Gen AI

Graduate Software Engineer, EOS - Sydney

Graduate Consultant - Data & Analytics (Open)

Front-End Software Engineer, Google Photos

Software Engineer

Data Scientist

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