In-Demand Software engineer machine learning Jobs in Parramatta, Nsw

GCP Data Engineer
Showtime Consulting —Sydney NSW
- Full-time
- Management
- DevOps
- Analysis skills
Quick Apply
Technical Lead - Mobile (React Native)
SS&C Technologies —Sydney NSW
- Full-time
- Computer science
- Azure
- Management
AI/ML Computational Scientist
Accenture —Sydney NSW
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
Senior Embedded Linux Software Engineer – Edge AI & IoT
Schréder —Ryde NSW
- Full-time
- Hybrid work
- APIs
- AI
- Communication skills
Quick Apply
Lead Architect - Oceania Tax Technology - CTO Tax Office
EY —Sydney NSW
- $150,000 - $250,000 a year
- Azure
- Machine learning
- Recruiting
- Parental leave
Forward Deployed AI Engineer - Consulting (Graduate), BCG X
Boston Consulting Group —Sydney NSW
- Full-time
- Azure
- Computer Science
- Engineering
9d
GCP Data & AI/MLOps Engineer
Showtime Consulting —Sydney NSW
- Full-time
- DevOps
- Analysis skills
- Machine learning
Quick Apply
Forward Deployed Engineer and FDE Lead - Anthropic
Deloitte —Sydney NSW
- Azure
- AWS
- APIs
- Parental leave
Head of Implementation
Heidi —Sydney NSW
- Full-time
- Hybrid work
- AI
- Work from home
- Parental leave
Data Scientist, Network Fabric Engineering
Amazon Support Services Pty Ltd —Sydney NSW
- Full-time
- Laboratory
- Data analysis skills
- SQL
AI Associate
HUB24 —Sydney NSW
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
- Parental leave
3d
Senior Data & AI Engineer
Showtime Consulting —Sydney NSW
- Full-time
- Azure
- Computer Science
- Master's degree
Quick Apply
2d
Tech Lead Manager (multiple teams)
Neara —Sydney NSW
- Full-time
- Hybrid work
- Computer Science
- Bachelor's degree
- No degree
Engineering Manager, Technical Lead, Google Photos
Google —Sydney NSW
- Full-time
- Management
- Doctoral degree
- Computer Science
Senior AI Engineer (AI Innovation Office)
Westpac —Sydney NSW
- Full-time
- Hybrid work
- Management
- Master's degree
- Machine learning
3d
Senior AI Models Engineer
Heidi —Sydney NSW
- Full-time
- Remote
- Master's degree
- Machine learning
- AI
- Work from home
- Parental leave
9d
Product Manager
Nuix —Sydney NSW
- Hybrid work
- Computer science
- No degree
- Product management
Director of Engineering
Freelancer.com —Sydney NSW
- $180,000 - $220,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Writing skills
Quick Apply
Senior Applied Scientist
NinjaTech AI —Sydney NSW
- Full-time
- Doctoral degree
- Computer Science
- Research
Engineering Systems Administrator
Anduril Industries —Sydney NSW
- Full-time
- CAD
- ERP systems
- Analysis skills
Quick Apply

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software engineer machine learning jobs near parramatta, nsw

GCP Data Engineer

Showtime Consulting -
Sydney NSW

Quick Apply

Job Details

Full-time

Qualifications

CI/CD
Management
RESTful API
DevOps
Google Cloud Platform
Application development
Microservices
Analysis skills
Cloud security
Cloud development
REST
Data pipeline
APIs
Security
Apache
AI
Communication skills

Full Job Description

Build GCP data pipelines using Dataflow and Apache Beam
Deliver MLOps, Kubeflow and AI/ML platform solutions
Develop Python, Django, REST APIs and CI/CD automation

Company Description
Showtime Consulting is a leading provider of Shielded Cloud and Digital Solutions across Australia and New Zealand. We specialise in delivering secure, enterprise-scale technology solutions across cloud, infrastructure, cybersecurity, DevSecOps, software engineering, data, AI/ML, and digital transformation programs.

We partner with government and enterprise organisations to build high-performing technology teams that deliver secure, scalable, and future-ready solutions within complex technology environments.

The Role
We are seeking an experienced GCP Data & MLOps Engineer to support the design, development, and delivery of modern data, AI/ML, and cloud-native solutions.

This role is suited to a hands-on engineer with strong experience across Google Cloud Platform, Dataflow, Apache Beam, BigQuery, Kubeflow, Python, and DevOps/MLOps practices. You will work across data pipeline development, AI solution delivery, model lifecycle management, cloud automation, and application development to support scalable and efficient platform outcomes.

Key Responsibilities

Design, build, and maintain data pipeline frameworks using Google Cloud Platform.
Develop customised data pipeline solutions using Dataflow and Apache Beam.
Build and maintain Dataflow Flex Template Frameworks and reusable Python libraries.
Develop scalable data processing and transformation solutions using Python and BigQuery.
Perform BigQuery data extraction, preprocessing, and automated job scheduling.
Design and implement Kubeflow Pipelines for automated ML pipeline creation and deployment.
Support AI/ML solution delivery across GCP-based platforms and services.
Implement DevOps and MLOps practices across the data and machine learning lifecycle.
Manage model lifecycle, maintenance, and governance using GCP Model Registry.
Enable continuous deployment of Django applications on Google Cloud Platform.
Automate deployment and management of Cloud Run services and Cloud Functions.
Implement CI/CD pipelines using Cloud Build and related GCP tooling.
Develop REST API-based microservices to support platform and application integration.
Implement security services including Secret Manager and Cloud KMS.
Build dashboards and web applications using Python Django and R Shiny.
Optimise application code, data pipelines, and technical deliverables to improve performance.

What You'll Need

Strong hands-on experience with Google Cloud Platform.
Experience developing data pipelines using Dataflow and Apache Beam.
Strong Python development skills and experience building reusable Python libraries.
Experience working with BigQuery for data extraction, preprocessing, and scheduling.
Experience building Dataflow Flex Template Frameworks is highly regarded.
Experience delivering AI-based solutions on GCP is advantageous.
Strong understanding of DevOps and MLOps practices.
Experience designing and implementing Kubeflow Pipelines is highly regarded.
Experience with GCP Model Registry and model lifecycle management is advantageous.
Experience developing REST APIs and microservices.
Experience with Python Django application development is highly regarded.
Experience deploying and managing Cloud Run and Cloud Functions.
Experience with automated CI/CD pipelines using Cloud Build.
Knowledge of Secret Manager, Cloud KMS, and cloud security practices is advantageous.
Experience with R Shiny dashboards is highly regarded.
Strong understanding of cloud-native application development and platform automation.
Strong analytical, troubleshooting, and performance optimisation skills.
Good communication skills with the ability to work across technical and business teams.

Why Join Us?

Work on modern GCP-based data, AI/ML, and platform engineering solutions.
Build scalable cloud-native data pipelines and machine learning workflows.
Gain exposure to Dataflow, Apache Beam, Kubeflow, BigQuery, and MLOps practices.
Contribute to automation, CI/CD, and cloud platform modernisation initiatives.
Collaborate with experienced cloud, data, software engineering, and delivery teams.
Join a consulting culture focused on innovation, technical excellence, and continuous improvement.

Quick Apply

Refine Your Search

software engineer machine learning jobs in parramatta, nsw

GCP Data Engineer

Technical Lead - Mobile (React Native)

AI/ML Computational Scientist

Senior Embedded Linux Software Engineer – Edge AI & IoT

Lead Architect - Oceania Tax Technology - CTO Tax Office

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

GCP Data & AI/MLOps Engineer

Forward Deployed Engineer and FDE Lead - Anthropic

Head of Implementation

Data Scientist, Network Fabric Engineering

AI Associate

Senior Data & AI Engineer

Tech Lead Manager (multiple teams)

Engineering Manager, Technical Lead, Google Photos

Senior AI Engineer (AI Innovation Office)

Senior AI Models Engineer

Product Manager

Director of Engineering

Senior Applied Scientist

Engineering Systems Administrator

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