To support your personal and professional life, we offer a range of perks and benefits, including retail discounts, wellbeing leave, paid volunteering days,……
Carry out electrical safety testing and compliance checks in accordance with Australian standards and relevant health regulations. Work Schedule: 8-hour shift.…
MLOps: Feature stores, model hubs, orchestration frameworks on Databricks. Foundational Skills: Working knowledge of data engineering with exposure to……
Degree in Computer Science, Cloud Computing, Mathematics or related field (or equivalent experience). Experience with agent frameworks such as LangGraph, OpenAI……
Experience designing AI systems using Retrieval Augmented Generation (RAG), embeddings and vector stores, and production serving/retrieval layers such as……
Honours or higher academic qualification in computer science, and/or strong quantitative grounding and equivalent software engineering work experience; and.…
Deep understanding of ML lifecycle, including feature engineering, feature stores, and data management. We’re building intelligent systems that redefine how our……
This role bridges data science, software engineering, and platform engineering to ensure AI models and applications are reliable, secure, observable, and……
5+ years building and operating production Python (or equivalent language) services at scale - this is a software engineering role first; strong system design……
Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike. If access to export-controlled technology or source……
3–5+ years in ML engineering, data science, or software engineering with ML applications. Work hand-in-hand with data scientists, engineers, and stakeholders to……
For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the……
5+ years building and operating production Python (or equivalent language) services at scale - this is a software engineering role first; strong system design……
Lifestyle discounts with our community partners. A range of additional leave types to meet your personal needs including cultural leave, conference leave,……
Model excellent written and verbal communication to both technical and non‑technical stakeholders. Drive cross‑functional alignment on ROI targets, evaluation……
A range of employee benefits such as; complimentary Kogan First Membership, team exclusive discounts, Health & Wellness program, Learning & Development and……
Familiarity with modern data platforms, ETL/ELT tooling, and AI/ML-related data patterns (e.g., feature stores, vectorization, RAG-related data flows).…
Design, configure, and implement AI solution stacks, including model serving, orchestration, retrieval pipelines, vector stores, and related components.…
Bachelor’s degree in a technical, analytical, or business-related field (or equivalent experience); advanced degree in a technical or analytical-related field a……
Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. Such as LangChain or LlamaIndex.…
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Contributions to open-source projects or technical publications.…
Stay current: with the latest evaluation, observability and LLMOps research and provider offerings. Strong signals: built or scaled an eval and observability……
5+ years of experience in a Solutions Engineering or equivalent technical role. Bachelor’s degree in a technical discipline or equivalent practical experience.…
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience. You will establish processes and best practices for……
You will work closely with customers to implement and manage AI capabilities in production and ensure a high-quality managed services experience.…
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.