To support your personal and professional life, we offer a range of perks and benefits, including retail discounts, wellbeing leave, paid volunteering days,……
Having a natural coaching mindset will allow you to successfully establish engineering standards and mentor junior machine learning colleagues.…
Details of 2 referees, which must include a current or previous manager. Study assistance, including financial support and study leave for tertiary education.…
Altering machine programs for new equipment. Develop technical reports for customer review. Asset support for breakdowns or ongoing maintenance.…
Relevant qualification plus at least 3 years of relevant experience. Provide first-level technical support to end-users, troubleshooting hardware, software,……
Troubleshoot and resolve data-related issues and provide ongoing support to analytics and business teams. Familiarity with machine learning frameworks and tools……
Diploma or Associate Degree in Mechanical Engineering Technology, Engineering Drafting, or a closely related discipline — or equivalent trade and industry……
8 years relevant progressive experience with Bachelors in related field; 6 years relevant progressive experience with Masters in related field; or High School……
Collaborate cross‑functionally with Data Engineering, Software Development, Sales & Pre‑Sales, and leadership stakeholders, while staying current with emerging……
Your work will ensure Australian suppliers are identified, qualified and supported through a rigorous entry process into the nuclear‑powered submarine supply……
In accordance with EastLink policy a minimum of two (2) professional referees are required. Citizen of New Zealand who entered Australia on a current New……
Support health outcomes with research in transformative applications in diabetes, cancer, rheumatoid arthritis, and osteoarthritis, including disease diagnosis,……
Experience: 1–2 years in an IT Helpdesk environment (internal or external). Own the Onboarding Experience: Handle app provisioning to ensure new hires have a "……
3 years of experience troubleshooting technical issues for internal/external partners or customers. Generate appropriate documentation and technical guidance to……
Support customers with technical inquiries. As a Service Engineer / Supervisor, you will report directly to the VIC Service Manager and be responsible for the……
8 years relevant progressive experience with Bachelors in related field; 6 years relevant progressive experience with Masters in related field; or High School……
Developing depth / advanced levels of knowledge over a current domain by engaging in continuous. Of specific domain components to address related incidents,……
Applicants will be required to provide evidence of their eligibility to work in Australia, and at a minimum be required to undertake police and basic credit……
Troubleshoot and resolve critical infrastructure and connectivity issues, including VPN connectivity problems, relay server outages, certificate-related issues……
Enhance tools/applications for the current test automation framework by applying innovative state-of-the-art software development frameworks and data science……
Data, AI, and Machine Learning | Multiple Opportunities Available
Australia
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.