In-Demand Machine learning engineer Jobs in Parramatta, Nsw

Staff Machine Learning Engineer (Platform)
Neara —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Writing skills
- AWS
Software Engineer - Machine Learning
REA Group —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Computer Science
- SQL
- Parental leave
7d
PhD Graduate Machine Learning Engineer Graduate, Trust and Safety Engineering - 2026 Start
TikTok —Sydney NSW
- Doctoral degree
- Computer Science
- Engineering
Data Engineer – AI/ML | Google Cloud
4WD SUPACENTRE —Sydney Olympic Park NSW
- Full-time
- Sales
- Salesforce
- SQL
- Employee discount
Quick Apply
13d
Data Engineer
Optus —Sydney NSW
- SQL
- Parental leave
- Employee discount
2d
Senior Software Engineer - Australia
Neara —Sydney NSW
- Full-time
- Hybrid work
- CAD
Software Engineer - Machine Learning
News Corp —Sydney NSW
- Hybrid work
- Azure
- Computer Science
- SQL
- Parental leave
6d
Staff Engineer Chapter Lead – Generative AI
Commonwealth Bank —Sydney NSW
- Full-time
- Systems design
- Master's degree
- AWS
Senior AI Engineer
Karbon —Sydney NSW
- Azure
- Doctoral degree
- Computer Science
- Annual leave
- Parental leave
Quick Apply
Quantum Machine Learning Scientist
Silicon Quantum Computing —Sydney NSW
- Azure
- Doctoral degree
- Computer Science
9d
ML Ops Engineer, Quantum Machine Learning
Silicon Quantum Computing —Sydney NSW
- Machine learning
- APIs
9d
Windows and VMware Engineer
Infosys —Sydney NSW
- $108,571 - $119,893 a year
- Azure
- Management
- Administrative experience
- Health insurance
- Parental leave
7d
Forward Deployed AI Engineer - Consulting (Graduate), BCG X
Boston Consulting Group —Sydney NSW
- Full-time
- Azure
- Computer Science
- Engineering
12d
E0I -AI Data Scientists- All Levels
Wiq —Bella Vista NSW
- Full-time
- Master's degree
- SQL
- Education
Research & Development Engineer
HEO —Sydney NSW
- $140,000 - $165,000 a year
- Full-time
- Doctoral degree
- Engineering
- AWS
- Parental leave
Quick Apply
1d
Senior Software Engineer - Database Engineering
Snowflake —Barangaroo NSW
- Full-time
- Computer Science
- Engineering
- Master's degree
Associate Systems Engineer
Amazon Support Services Pty Ltd —Sydney NSW
- Full-time
- Computer Science
- Software troubleshooting
- AWS
MLOps / AI Engineer
Tata Consultancy Services —Sydney NSW
- On call
- Azure
- Management
- Master's degree
Graduate Consultant - Data & Analytics (Open)
Synogize —Sydney NSW
- Full-time
- Hybrid work
- Computer science
- Computer Science
- SQL
Quick Apply
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

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Staff Machine Learning Engineer (Platform)

Neara
Sydney NSW

Apply Now

Job Details

Full-time

Qualifications

Data modelling
Azure
Writing skills
Google Cloud Platform
OS Kernels
AWS
Docker

Full Job Description

Imagine having the power to stress-test an entire power grid against a hurricane or thunderstorm before the clouds even gather. That is the reality we are creating at Neara.

We use advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents, this helps asset owners understand their biggest challenges and bring the most viable solutions to life across millions of kilometres of infrastructure.

By simulating extreme weather and structural stress at a network-wide scale, we empower the world’s largest utilities to pinpoint risks, optimise investments and build a more resilient global energy future.

Our team is a collection of brilliant minds who are fanatical about making a tangible difference in the real world, utilising AI and machine learning to accelerate everything from data classification to complex scenario analysis. We have built a special culture where innovation thrives because everyone owns the mission and we need smart, creative people to help us scale this impact to every corner of the globe.

The Staff Machine Learning Platform Engineer owns the infrastructure and systems that allow Neara's ML discipline to move fast, ship reliably, and scale without breaking.

Neara is conducting cutting edge research, developing multi-modal spatial frontier models. You will help the team run faster, helping overcome challenges that have never been seen before in the world. These models work with a range of less researched data types, including point cloud, geospatial data, and asset data. The lack of research maturity in the geospatial domain and novel nature of the problem presents unique challenges around performance, data unification, and deployment.

The problem and role stretch beyond pure research. These models will be deployed with our global utility and new vertical customers, delivering real value and increased climate resilience for critical infrastructure. Your role will be critical in both making sure we can develop frontier level spatial intelligence quickly and economically, but also in making sure we can deploy those models efficiently to our customers.

WHAT YOU’LL DO

Own the ML platform strategy end-to-end - Define and drive the multi-year technical roadmap for training pipelines, serving architecture, experiment management, and monitoring systems that tie it all together.
Build tooling that accelerates ML delivery - Develop foundational infrastructure that takes engineers from idea to production faster, standardising workflows and eliminating friction between experimentation and deployment.
Solve hard distributed systems problems - Enable training across distributed data with residency and security requirements, while ensuring models run efficiently across varied GPU hardware, including sparse tensor implementations and architecture bottlenecks.
Design scalable, flexible serving architecture - Define serving systems that handle spiky load in production while giving the ML team the freedom to experiment across regions, customers, tasks, and verticals.
Unblock the ML team at scale - Identify what's slowing the team down, define the contracts and interfaces between training, evaluation, and serving, and build the roadmap to turn ambitious research into routine delivery.

WHAT YOU’LL BRING

Significant hands-on experience building and operating training pipelines, distributed compute, model serving, and monitoring systems at scale.
Strong proficiency writing and optimising custom CUDA kernels for deep learning training, ideally across non-text/image data types, with experience diagnosing performance bottlenecks in sparse architectures.
Proven experience across production model monitoring, data quality frameworks, and training data warehouses brought to ML readiness.
Demonstrated ability to set ML platform standards, influence engineering roadmaps, and drive alignment on complex infrastructure decisions across teams without direct authority.
Proficiency in Python and PyTorch (or equivalent), strong system design instincts, and an R&D foundation that informs good prioritisation decisions.
Experience across AWS, GCP, or Azure, container orchestration (Kubernetes, Docker), and on-prem or neocloud environments.
A track record of leading, mentoring, and coaching ML engineers, raising the technical bar of the teams around you through hands-on guidance, documentation, and internal standards.

WHAT’S IN IT FOR YOU?

Competitive salary
Meaningful ESOP
Fully Flexible Work Environment. We have a fully stocked office (and an impressive snack collection) in Redfern.
Regular office events
The real benefit is working on a genuinely complex, innovative and industry-leading product, making a genuine difference in the world around us

To apply, please use the online application link below. Neara values diversity, belonging and equal employment opportunities. We encourage individuals from all backgrounds to apply.

No agencies or third-party service providers, please.
#LI-AP1

Apply Now

Refine Your Search

machine learning engineer jobs in parramatta, nsw

Staff Machine Learning Engineer (Platform)

Software Engineer - Machine Learning

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

Data Engineer – AI/ML | Google Cloud

Data Engineer

Senior Software Engineer - Australia

Software Engineer - Machine Learning

Staff Engineer Chapter Lead – Generative AI

Senior AI Engineer

Quantum Machine Learning Scientist

ML Ops Engineer, Quantum Machine Learning

Windows and VMware Engineer

Forward Deployed AI Engineer - Consulting (Graduate), BCG X

E0I -AI Data Scientists- All Levels

Research & Development Engineer

Senior Software Engineer - Database Engineering

Associate Systems Engineer

MLOps / AI Engineer

Graduate Consultant - Data & Analytics (Open)

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

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

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