In-Demand Machine learning engineer Jobs in Melbourne, Vic

Network Engineer- Automation & AI
Capgemini —Melbourne VIC
- Hybrid work
- Management
- AI
Network Engineer - AI & Automation - Sydney/Melbourne
Capgemini —Melbourne VIC
- Hybrid work
- Management
- AI
Senior AI Engineer
Axsys —Melbourne VIC
- Computer Science
- Master's degree
- AWS
- Parental leave
Senior Engineer - ML Systems (AI Products)
Xero —Hawthorn VIC
- Full-time
- Hybrid work
- Systems design
- Research
- Master's degree
4d
Support Engineer, Region Services
Amazon Support Services Pty Ltd —Melbourne VIC
- Full-time
- Software troubleshooting
- AWS
- Bachelor's degree
Senior AI Engineer
Karbon —Melbourne VIC
- Azure
- Doctoral degree
- Computer Science
- Annual leave
- Parental leave
Quick Apply
Field Engineering, AI/ML Product Specialist
Databricks —Melbourne VIC
- Azure
- Master's degree
- Machine learning
Account Manager – Geoscience (m/f/*)
Quaisr —Melbourne VIC
- $120,000 - $145,000 a year
- Full-time
- CRM software
- Doctoral degree
- Master's degree
- Annual leave
Computer Vision Engineer
AIM Defence —Melbourne VIC
- Overtime
- Engineering
- Organisational skills
- Communication skills
AI Software Engineer (Model Training)
Maincode —Melbourne VIC
- Full-time
- Machine learning
- APIs
- AI
Senior AI Engineer
City FM Australia —Mulgrave VIC
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
Quick Apply
4d
Senior Data Scientist
Bapcor —Mount Waverley VIC
- Full-time
- Bachelor's degree
- Recruiting
- AI
- Parental leave
Quick Apply
Systems Analyst, Region Services
Amazon Support Services Pty Ltd —Melbourne VIC
- Full-time
- Computer Science
- Engineering
- AWS
4d
Snowflake Data Engineer
Cognizant —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- SQL
- AWS
4d
Network Engineer - AI & Automation - Sydney/Melbourne
Capgemini Sogeti —Melbourne VIC
- Hybrid work
- Management
- AI
Principal AI Engineer
Axsys —Melbourne VIC
- Computer Science
- Master's degree
- AWS
- Parental leave
Google Data Engineer - GCP
NCS Australia —Melbourne VIC
- Full-time
- Hybrid work
- Parental leave
Quick Apply
Cloud DevOps Engineer (AI)
Slater and Gordon —Melbourne VIC
- Hybrid work
- Azure
- DevOps
- Machine learning
- Parental leave
8d
FSAI Labs Program Lead
Future Secure AI —Melbourne VIC
- Azure
- Doctoral degree
- Research
Quick Apply
Full Stack Developer
Woolworths MarketPlus —Melbourne VIC
- Full-time
- Hybrid work
- Master's degree
- AWS
- APIs
11d

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machine learning engineer jobs near melbourne, vic

Network Engineer- Automation & AI

Capgemini -
Melbourne VIC

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Job Details

Qualifications

CI/CD
Management
Ansible
Deployment
GitHub
Network engineering
AI
Jenkins

Full Job Description

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Your role

As an Access Network Engineer with a specialised focus on introducing AI & Automation to solution engineering and the delivery lifecycle, you will play a key role in building and scaling AI & Automation-powered engineering capabilities that improve efficiency, reduce manual effort, and enhance decision-making across design, testing, and deployment workflows.

This is a hands-on engineering role focused on delivering real, production-grade solutions—from AI assistants to end-to-end automation pipelines—that will be used daily by engineering teams, transforming the way they design, test, and deploy network solutions.

You will play a key role in:

Developing AI assistants to support engineering teams, including backlog management, development, test, knowledge retrieval, troubleshooting, and insights generation.
Implementing “human-in-the-loop” models to ensure accuracy and trust, while ensuring security and responsible AI standards are followed.
Building solutions leveraging existing Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG) & machine learning models for analysis and prediction.
Identifying and automating repetitive or manual processes across design, test, and deployment workflows

Your profile

6+ years in Layer 2 & 3 network engineering and solution development, with hands-on experience in building automation or AI/ML solutions
Hands on experience building automation workflows, scripts, or pipelines.
Hands-on experience with AI/ML or Generative AI technologies (LLMs, prompt engineering, RAG)
Experience building AI assistants and managing the lifecycle of the assistants
CI/CD and DevOps practices (e.g. Jenkins, Ansible, GitHub Actions, Python, ArgoCD)

Exposure in one or both the below areas:
- FTTx Access Network: GPON/XGSPON (OLT, ONT), Intent Based Networking
- FTTx EMS Applications: Containerised (AAC), Virtualised (ACS, AMS),

What you’ll love about working here

Experience a Positive Work-Life Balance: We prioritize your well-being with hybrid and flexible working arrangements, making it easy to balance your personal and professional life.
Own your Growth: Dive into endless learning opportunities with courses from Capgemini University and numerous external certifications. Benefit from digital learning platforms and specialized campuses in AI, Cloud, Data, and Sustainability. Propel your career with our award-winning Career Acceleration programs.
Thrive in an Inclusive Environment: We don't just believe in inclusion; we live it. Be part of a workplace that values authenticity, inclusion, and belonging. We encourage applications from all backgrounds, even if you don’t meet every requirement. Research shows that individuals from underrepresented groups often hesitate to apply unless they meet every criterion. If you're excited about this role, we welcome your application and invite you to share what you can bring.
Work with Integrity: Join a company recognized by Ethisphere as one of the World’s most Ethical companies.
Collaborate with Industry Leaders: Gain exposure to top global companies, including 145 of the Fortune 500, through your work with Capgemini.
Showcase Your Skills: Participate in our internal annual global tech challenges and help address world issues.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Apply Now

Refine Your Search

machine learning engineer jobs in melbourne, vic

Network Engineer- Automation & AI

Network Engineer - AI & Automation - Sydney/Melbourne

Senior AI Engineer

Senior Engineer - ML Systems (AI Products)

Support Engineer, Region Services

Senior AI Engineer

Field Engineering, AI/ML Product Specialist

Account Manager – Geoscience (m/f/*)

Computer Vision Engineer

AI Software Engineer (Model Training)

Senior AI Engineer

Senior Data Scientist

Systems Analyst, Region Services

Snowflake Data Engineer

Network Engineer - AI & Automation - Sydney/Melbourne

Principal AI Engineer

Google Data Engineer - GCP

Cloud DevOps Engineer (AI)

FSAI Labs Program Lead

Full Stack Developer

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