In-Demand Data & ai/mlops Jobs in Sydney, Nsw

GCP Data & AI/MLOps Engineer
Showtime Consulting —Sydney NSW
- Full-time
- DevOps
- Analysis skills
- Machine learning
Quick Apply
7d
KPMG Delivery Network Solution Lead: AI
KPMG Australia —Sydney NSW
- Contract
- Hybrid work
- Azure
- Computer Science
- Engineering
- Parental leave
Quick Apply
Senior Data Scientist, ML, NLP, GenAI, Agentic AI
Commonwealth Bank —Sydney NSW
- Full-time
- Management
- Master's degree
- SQL
13d
Machine Learning Engineer - Capital Investment - Data & AI - Sydney
The Argyle Network —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Master's degree
- Databases
MLOps / AI Engineer
Tata Consultancy Services —Sydney NSW
- On call
- Azure
- Management
- Master's degree
Applied AI Specialist
Cloudera —Sydney NSW
- Full-time
- Remote
- Machine learning
- APIs
- AI
- Annual leave
Senior Manager, Data Science – GenAI & Agentic AI
Commonwealth Bank —Sydney NSW
- Full-time
- APIs
- AI
9d
Principal AI Solution Architect, Data & AI Specialist Solutions Architect team
Amazon Web Services Australia Pty Ltd —Sydney NSW
- Full-time
- Management
- Doctoral degree
- Computer Science
Manager, AI Governance
AFCA —Sydney NSW
- Full-time
- Hybrid work
- AI
- Communication skills
Quick Apply
Staff Data Scientist - AI
Future Secure AI —Sydney NSW
- Doctoral degree
- Master's degree
- Machine learning
Quick Apply
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
Senior AI Engineer - Data Scientist (Sydney/Melbourne)
Capgemini Sogeti —Sydney NSW
- Computer Science
- Data analysis skills
- Master's degree
2d
AI Delivery Lead - Sydney/Melbourne
Capgemini Sogeti —Sydney NSW
- Azure
- AWS
- Agile
Staff Engineer Chapter Lead – Generative AI
Commonwealth Bank —Sydney NSW
- Full-time
- Systems design
- Master's degree
- AWS
Director - Presales Enterprise Architect (Data/AI and Applications)
NTT Ltd —Sydney NSW
- Full-time
- Azure
- Computer Science
- Sales
Forward Deployed AI Engineer, Australia (Senior/Principal Level)
Cloudera —Sydney NSW
- Full-time
- Remote
- Azure
- Management
- AWS
- Annual leave
AI Engineer
Westpac —Sydney NSW
- Full-time
- Master's degree
- APIs
- AI
AI/ML Computational Scientist
Accenture —Sydney NSW
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
14d
Director - Presales Enterprise Architect (Data/AI and Applications)
NTT DATA —Sydney NSW
- Full-time
- Azure
- Computer Science
- Sales
AI Infrastructure Lead (AU)
DroneShield Limited —Sydney NSW
- Full-time
- Computer science
- Computer Science
- DevOps
Quick Apply

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data & ai/mlops jobs near sydney, nsw

GCP Data & AI/MLOps Engineer

Showtime Consulting -
Sydney NSW

Quick Apply

Job Details

Full-time
7 days ago

Qualifications

CI/CD
RESTful API
DevOps
Encryption
Google Cloud Platform
Application development
Microservices
Analysis skills
Machine learning
Cloud development
REST
Data pipeline
APIs
Apache
AI
Communication skills

Full Job Description

Build GCP pipelines using Dataflow, Apache Beam and Python
Deliver MLOps, Kubeflow and AI/ML platform automation
Develop Cloud Run, Cloud Functions, Django and REST APIs

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 platform solutions.

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

Key Responsibilities

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

What You'll Need

Strong hands-on experience with Google Cloud Platform.
Experience developing customised data pipelines using Dataflow and Apache Beam.
Strong Python development skills, including experience building reusable Python libraries.
Experience working with BigQuery for data extraction, preprocessing, and automated 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 applying DevOps methodologies to machine learning systems.
Experience designing and implementing Kubeflow Pipelines is highly regarded.
Experience with GCP Model Registry and model lifecycle management is advantageous.
Experience developing microservices using REST APIs.
Experience with Python Django application development is highly regarded.
Experience automating Cloud Run and Cloud Functions deployments.
Experience with automated Cloud Build implementations.
Knowledge of Secret Manager, Cloud KMS, and deterministic encryption is advantageous.
Experience deploying dashboards using R Shiny or Python Django is highly regarded.
Experience developing customised web applications for AI platform resource management is advantageous.
Strong understanding of cloud-native application development and platform automation.
Strong analytical, troubleshooting, optimisation, and problem-solving 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, dashboarding, 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

data & ai/mlops jobs in sydney, nsw

GCP Data & AI/MLOps Engineer

KPMG Delivery Network Solution Lead: AI

Senior Data Scientist, ML, NLP, GenAI, Agentic AI

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

MLOps / AI Engineer

Applied AI Specialist

Senior Manager, Data Science – GenAI & Agentic AI

Principal AI Solution Architect, Data & AI Specialist Solutions Architect team

Manager, AI Governance

Staff Data Scientist - AI

Senior Machine Learning Engineer (Platform / MLOPs)

Senior AI Engineer - Data Scientist (Sydney/Melbourne)

AI Delivery Lead - Sydney/Melbourne

Staff Engineer Chapter Lead – Generative AI

Director - Presales Enterprise Architect (Data/AI and Applications)

Forward Deployed AI Engineer, Australia (Senior/Principal Level)

AI Engineer

AI/ML Computational Scientist

Director - Presales Enterprise Architect (Data/AI and Applications)

AI Infrastructure Lead (AU)

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