In-Demand Engineer / operations engineer (ml / ai) Jobs

Data, AI, and Machine Learning | Multiple Opportunities Available
Deloitte —Sydney NSW
- Azure
- Engineering
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- Parental leave
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- Full-time
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- Computer Science
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- Master's degree
- Vision insurance
- Free food
Quick Apply
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- Azure
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The Argyle Network —Sydney NSW
- $150,000 a year
- Full-time
- SQL
- AWS
- AI

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engineer / operations engineer (ml / ai) jobs near

Data, AI, and Machine Learning | Multiple Opportunities Available

Deloitte -
Sydney NSW

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Job Details

Benefits

Parental leave
Paid volunteer leave
Salary packaging

Qualifications

Data modelling
Azure
Data lake
Engineering
Master's degree
Databases
SQL
AWS
Bachelor's degree
AI
Communication skills
Data warehouse

Full Job Description

Date:
24 Jun 2026

Location:
Sydney, NSW, AU

Perth, WA, AU

Brisbane, QLD, AU

Melbourne, VIC, AU

Department:
All

Description:
Flexible work arrangements – work in a way that suits you best.
Mentoring programs – receive support and coaching to progress your career.
Salary packaging – to suit your personal and financial circumstances.

About Us:
Engineering AI& Data (EAID) are an integrated team of industry specialists, technologists, and operations transformation experts. We work with our clients to transform and run their technology platforms, optimise their operations, and help them take advantage of new technologies, drive innovation, improve financial performance and accelerate speed to market.

We typically hire for experts in following areas: -

AI, and Machine Learning
Senior Geospatial Consultants
Data & Machine Learning Engineers

We’re looking for talented individuals who have some of the following skills / experiences:

Experience in Data and/or ML Engineering, with hands-on experience in either Python or SQ, dbt highly regarded
Advanced SQL and database skills
Strong grasp of Data fundamentals, preferably with experience with databases, data warehouses, data lakes or other storage solutions.
Experience with Data modelling will be highly regarded
Hands-on development experience in at least one of the major hyper scaler platforms - AWS, Google Cloud, Microsoft Azure, Databricks and Snowflake
Previous consulting or client-facing experience is highly regarded
Exceptional interpersonal and communication skills.
Comfort working in a flexible and dynamic environment.
Technical certifications will be highly regarded.
Bachelor or MS degree in Mathematics, Statistics, Engineering or similar quantitative disciplines.

Why Deloitte?

At Deloitte, we focus our energy on interesting and impactful work. We’re always learning, innovating and setting the standard; making a positive difference to our clients and our society. We put coaching at the heart of what we do, helping our people grow their careers in any direction – whether it be up, moving into something new, or even moving across the world.

We embrace diversity, equity and inclusion. We have a diverse collection of people from different backgrounds, with different experiences, gender identities, abilities and thinking styles. What binds us together is a shared commitment to value everyone’s perspective and to cultivate inclusion; so that our work environment is a safe space we can all belong.

We support flexibility and choice. We encourage you to find the right balance between connecting in person with your clients and teams and meeting your own personal needs.

We help you live and work well. To support your personal and professional life, we offer a range of perks and benefits, including retail discounts, wellbeing leave, paid volunteering days, twelve flexible working options, market-leading parental leave and return to work support package.

Apply Now

Refine Your Search

engineer / operations engineer (ml / ai) jobs

Data, AI, and Machine Learning | Multiple Opportunities Available

Platform Engineer / Operations Engineer - (ML / AI)

AI Engineer - FDE (Forward Deployed Engineer)

AI Engineer / Data Scientist (Agentic AI) | Associate/Senior Associate

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

Managing Consultant, Strategy and Transformation - Generative AI Engineer / Generative AI Data Scientist

Principal Engineer - Agentic AI - Online Payments

Advisory AI Data Specialist

Head of ANZ, Applied AI

AI Engineer / Data Scientist (Agentic AI) | Manager/Senior Manager

Strategic Cloud Engineer, Platform and AI Infrastructure

AI/ML Consultant, AWS Professional Services

MLOps / AI Engineer

Artificial Intelligence / Machine Learning Engineer

Software Engineer - AI Automation

Senior AI Engineers - Contract

Engineer - Software

Data Center Hardware Operations Lead

Data Scientist, Network Fabric Engineering

Machine Learning Engineer / Data Scientist

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