In-Demand Machine learning engineer Jobs in Parramatta, Nsw

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- Full-time
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SentinelOne —Sydney NSW
- Remote
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- Customer service
- Employee stock purchase plan
- Health insurance
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Principal AI Engineer
Axsys —Sydney NSW
- Computer Science
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Consultant - Data & Analytics (Open)
Synogize —Sydney NSW
- Full-time
- Hybrid work
- Computer Science
- SQL
- Bachelor's degree
Quick Apply
Associate Systems Engineer
Amazon Support Services Pty Ltd —Sydney NSW
- Full-time
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Senior Software Engineer - Australia
Neara —Sydney NSW
- Full-time
- Hybrid work
- CAD
Staff Engineer | Cyber Security
Macquarie Group Limited —Sydney NSW
- Full-time
- Hybrid work
- Azure
- AWS
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Systems Engineer - Windows , Region Services
Amazon Support Services Pty Ltd —Sydney NSW
- Full-time
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NTT —Sydney NSW
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Deloitte —Sydney NSW
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MYOB —Sydney NSW
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MongoDB —Sydney NSW
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Perception Engineer | Localisation, Sensor Fusion & World Building
Breaker —Sydney NSW
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AWS Consultant - AWS Connect - CX
Concentrix —Sydney NSW
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Databricks —Sydney NSW
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1d
Algorithm Engineer, Market Growth
Binance —Sydney NSW
- Full-time
- Remote
- Computer Science
- Master's degree
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Quick Apply

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Senior Engineer - ML Systems (AI Products)

Xero -
Sydney NSW

Apply Now

Job Details

Full-time

Qualifications

Law
Systems design
Research
Xero
Master's degree
SQL
AWS
AI

Full Job Description

The role

You will lead the design and implementation of large-scale, production-grade distributed systems that power AI features for millions of daily users. You'll own the architecture decisions that keep our systems flexible, cost-effective, and robust, direct strategy for distributed systems, and manage technical debt across the AI Products estate.

Beyond architecture, your impact lies in lifting the technical capability of the entire AI Products team. You will champion engineering excellence, mentor junior engineers, and collaborate across Xero to enhance data usability - applying modern AI research, including Large Language Models, only once it can be engineered into reliable, production-grade systems.

The team

You will join the AI Products group, a diverse team of scientists, engineers, product managers, and analysts within our broader Data & Science division. As a Machine Learning Engineer, you'll partner closely with Applied Scientists to build the interfaces and harnesses that safely and reliably transition models from research into production. Together, this collaborative team reduces toil and delivers beautiful, data-driven insights for small businesses.

The team is currently working on

Designing and building highly scalable, distributed production infrastructure to support generative AI features
Harnessing tools like Python, SQL, and distributed processing engines such as Spark or Dask to handle web-scale data workload.
Deploying to production environments running on AWS and Kubernetes Integrating modern Large Language Model technologies into product features once they're production-ready

Where and how you can work

Xero offers a flexible hybrid working model designed to blend the collaboration of office life with the autonomy of remote work. You will have access to our modern office spaces, with expectations around office days and collaborative 'boost days' aligned to help your team connect and ship great code effectively.

Here are some of the things we are looking for

5+ years building and operating production Python (or equivalent language) services at scale - this is a software engineering role first; strong system design and coding proficiency are non-negotiable
A track record of owning services or pipelines in production, including operational/on-call responsibility, incident response, and managing technical debt over time
Deep understanding of distributed processing principles (Spark, Dask, or similar) alongside strong SQL capabilities
Demonstrated experience integrating ML models or LLM-based features into production systems - you don't need a research background, but you should be comfortable working alongside Applied Scientists to productionize their work
Familiarity with ML tooling such as MLFlow, TensorFlow, or PyTorch, and data orchestration tools like Airflow or Prefect, is valued but production engineering depth matters more than research exposure
Nice to have: prior experience applying or fine-tuning LLMs in a product context, though this is not a substitute for the core software engineering bar above

Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Apply Now

Refine Your Search

machine learning engineer jobs in parramatta, nsw

Senior Engineer - ML Systems (AI Products)

Senior AI Engineer

Systems Development Engineer

Staff Pre-sale Support Engineer

Principal AI Engineer

Consultant - Data & Analytics (Open)

Associate Systems Engineer

Senior Software Engineer - Australia

Staff Engineer | Cyber Security

Systems Engineer - Windows , Region Services

Senior Data Engineer (GCP, Agentic)

Artificial Intelligence (AI) Engineering Senior Consultant

Senior Databricks Platform Engineer

Senior AI Engineer

Staff Engineer

Senior Network Engineer (Tooling)

Perception Engineer | Localisation, Sensor Fusion & World Building

AWS Consultant - AWS Connect - CX

Staff Designated Support Engineer

Algorithm Engineer, Market Growth

I want to receive the latest job alert for machine learning engineer in parramatta, nsw

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