In-Demand Architecture & engineering occupations Jobs in North Shore, Nsw

Machine Learning Engineering Manager
icare —Sydney NSW
- Full-time
- DevOps
- Master's degree
- AWS
- Employee assistance program
- Gym membership
Manager Facilities and Site Project
NSW Electoral Commission —Sydney NSW
- $149,739 - $173,174 a year
- Full-time
- Engineering
- Construction
- Communication skills
- Employee assistance program
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- $129,464 - $142,665 a year
- Full-time
- Azure
- AWS

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Machine Learning Engineering Manager

icare -
Sydney NSW

Apply Now

Job Details

Full-time

Benefits

Employee assistance program
Gym membership

Qualifications

Jira
Law
DevOps
Master's degree
AWS
Machine learning
Scrum
Agile
AI

Full Job Description

icare

Reference number

498649

Occupation

Information and Communications Technology

Work type

Full-Time

Location

Sydney City

Salary Information

Closing date

12 June 2026 at 11:55pm

The Machine Learning Engineering Manager is the foundational engineering lead within icare’s Data Science and AI function. The role begins as a hands-on technical lead responsible for establishing robust ML engineering, MLOps and LLMOps practices that enable secure, reproducible, and reliable deployment of AI systems

Benefits

A corporate wellbeing program with subsidised gym membership, free flu vaccinations and health check programs
17.5% annual leave loading
icare day – access to an extra day’s leave
Comprehensive learning and development support aligned to icare’s Core Capabilities.
Our People Awards - On-the-spot Recognition, Quarterly Values Awards & Our People Annual Awards
Access to our Employee Assistance Program

Duties

It’s an exciting time at icare where no two days are the same. In this role you will

Deliver data and Machine Learning and AI models that align to the overall technical, data and AI strategy, making trade-offs where appropriate
Deliver coherent and technically feasible ML, LLM and AI system designs with multiple components interacting across API or system boundaries
Design ML, LLM and AI system metrics and an implementation and monitoring plan to ensure ML, LLM and AI systems are performant through the lifetime of the system
Identify and resolve technology limitations, designing sustainable long-term solutions that minimise risk and maximise value
Drive innovation by formulating complex business objectives into intelligent and scalable ML, LLM or AI solutions
Drive the creation and maintenance of standards to ensure quality delivery of the ML, LLM and AI solutions across the organisation
Formulate plans to improve ML Engineer and Data Scientist efficiency as measured by cycle time, or other similar measurements
Provide constructive feedback and hands-on technical guidance to members of the Data Science and Machine Learning engineering teams through the lifecycle of an ML, LLM or AI project
Partner with the Head of Data Science and AI and the Data Science Manager to set the cultural tone for the team, supporting an environment of psychological safety, empathy and productivity
Help the ML Engineering team build relationships across icare, creating connection across teams

Structure the ML Engineering team so the right people are in the right roles with clearly defined responsibilities

Foster the career growth of ML Engineers and Data Scientists through coaching, mentoring and on-the-job-experiences
Interview and assess candidates to help us build a diverse and talented ML Engineering team
Partner with Data Platforms and Insights, Architecture, Security, Privacy, and Governance to ensure ML, MLOps, LLMOps and practices align with enterprise standards
Build deep cross-functional relationships, facilitate the right conversations, balancing multiple perspectives, and engage in productive conflict with thoughtful questioning/challenging, disagreeing and committing when necessary to move decisions forward
Advise on the technical ML, MLOps. LLMOps components of an enterprise level AI strategy
Resolve cross-team dependencies to ensure the successful execution of ML, LLM, and AI projects

Skills & Experience

Minimum 8 years’ experience in Machine Learning Engineering, Machine Learning Operations, or DevOps roles
Experience leading or mentoring teams.
Experience deploying ML systems into production environments (cloud or hybrid).
Experience collaborating with Data Scientists, Architects, Security, Privacy, Governance and Platform teams.
Experience with AWS and/or Snowflake based ecosystems.
Experience working in an Agile Scrum environments and in the use of work tracking tools such JIRA.

Culture

We know our strength comes from the diversity of our people and would encourage people with different experiences and backgrounds to apply. We are committed to our people’s development so the people of NSW can thrive.

About the Company

We care for the people of NSW, building confidence and trust so our communities can thrive. We make the complex simple, so our schemes deliver better outcomes for people and communities. Whether a person is severely injured in the workplace or on our roads, icare supports their long-term care needs to improve quality of life, including helping people return to work.

For more information about icare visit our website
icare operates a direct sourcing model so no agency introductions will be accepted

We are a Circle Back Initiative Employer – we commit to respond to every applicant
A talent pool may be created through this recruitment process.

Please note that you must be an Australian citizen, permanent resident of Australia, New Zealand citizen with a current New Zealand passport or have unrestricted working rights to apply for this role.

Apply Now

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architecture & engineering occupations jobs in north shore, nsw

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