Machine Learning jobs
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- DeloitteSydney NSW 2000
- Parental leave
- Salary packaging
- Paid volunteer leave
- Mentoring programs – receive support and coaching to progress your career.
- Engineering AI& Data (EAID) are an integrated team of industry specialists,…
Machine Learning Engineer
Often replies in 1 dayTimescapesSydney NSW 2000- Health insurance
- Employee assistance program
- Experience with the development and delivery of production-level software systems that feature critical machine learning components.
- View all Timescapes jobs - Sydney jobs
- Salary Search: Machine Learning Engineer salaries in Sydney NSW
- The Argyle NetworkSydney NSW
- Strong foundations in data science and machine learning, including feature engineering, model evaluation, and optimisation.
- You will lead the design and implementation of large-scale, production-grade distributed systems that power AI features for millions of daily users.
- This position will work with a team of excellent research scientists and machine learning engineers who can take initiatives, design and develop advanced…
- News CorpMelbourne VIC
- Parental leave
- Matched giving program
- Paid volunteer leave
- Birthday leave
- Deep experience delivering production AI/ML systems across machine learning, ML engineering, MLOps, software engineering and modern LLM-based solutions.
- UpMelbourne VIC
- Employee assistance program
- Plus solid ML fundamentals: clustering, classification, predictive modelling and the judgment to know when a simple regression beats a deep learning model.
View similar jobs with this employerAmentumBrisbane QLD 4000- Strong understanding of machine learning model development, validation, testing, deployment, and performance monitoring.
- Required Security Clearance Level: NV1.
- ZendeskMelbourne VIC
- Employee assistance program
- The Custom Agent Service handles the full agent lifecycle: an admin configures an agent with instructions, knowledge articles, and actions through a UI; a…
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- See popular questions & answers about Zendesk
View similar jobs with this employerHarrison.aiSydney NSW- Extensive experience with Python and modern deep learning frameworks such as PyTorch;
- Hands-on experience building foundation models and self-supervised…
- NearaSydney NSW
- Strong proficiency writing and optimising custom CUDA kernels for deep learning training, ideally across non-text/image data types, with experience diagnosing…
- NearaSydney NSW
- Strong proficiency writing and optimising custom CUDA kernels for deep learning training, ideally across non-text/image data types, with experience diagnosing…
- Product and TechnologySouth Bank QLD
- Parental leave
- Health insurance
- Employee discount
- Insurance services
- Employee assistance program
- Paid volunteer leave
- Design, develop and productionise machine learning models, LLM‑powered systems and AI agent applications.
- As the Machine Learning Engineer at FCTG, will design…
- Greenroom RoboticsSydney NSW
- Computer vision and deep learning, with a track record of production ML.
- Machine learning and data science: dataset construction and running experiments.
- MutinexSouth Melbourne VIC 3205
- Parental leave
- Annual leave
- Work from home
- This is a software engineering role, applied to the data and machine learning domain.
- This hybrid role combines software engineering skills with machine…
- View all Mutinex jobs - South Melbourne jobs
- Salary Search: Machine Learning Engineer salaries
- Previous experience in applications of machine learning, pattern recognition, NLP, data mining, or computer vision.
- Great communication and teamwork skills.
Job Post Details
Data, AI, and Machine Learning | Multiple Opportunities Available - job post
3.93.9 out of 5 stars
Level 9 Grosvenor Place 225 George Street, Sydney NSW 2000
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Location
Level 9 Grosvenor Place 225 George Street, Sydney NSW 2000
Benefits
Pulled from the full job description
- Parental leave
- Salary packaging
- Paid volunteer leave
Full job description
Date:
23 Jul 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.
23 Jul 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.
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