Senior Machine Learning Engineer (MLOps)

TheDriveGroup

New South Wales

Hybrid

AUD 160,000

Full time

14 days+
Application generator

Get a reply from this employer — a resume and cover letter tailored to exactly what they’re hiring for.

Get past ATS filters

Job summary

A large technology organization seeks a Mid-Senior level professional to design and maintain advanced analytics and machine learning solutions. You will work in a hybrid model, fostering a collaborative environment to build ML-backed services and APIs. Ideal candidates possess strong software engineering skills, especially in Python, and experience with production ML systems. This role offers a competitive salary package including base pay, super, and bonuses, with an emphasis on diversity and inclusion in the workplace.

Qualifications

  • Strong experience working on production ML systems.
  • Commercial software engineering experience with advanced Python skills.
  • Experience with cloud platforms and modern CI/CD pipelines.

Responsibilities

  • Design, develop, deploy, and maintain advanced analytics and machine learning solutions.
  • Build and operate end-to-end ML pipelines.
  • Collaborate closely with multidisciplinary, agile teams.

Skills

Production ML systems
Problem-solving mindset
Advanced Python
Building ML pipelines
RESTful or gRPC APIs
Cloud platforms
Docker
Kubernetes
CI/CD pipelines

Job description

Base pay range

A$160,000.00/yr - A$160,000.00/yr

We’re partnering with a large technology driven organisation that sits at the intersection of technology, data and large-scale consumer platforms. The team’s mission is to create better experiences – for customers and internal teams alike – by embedding advanced analytics and machine learning into real-world decision-making.

The role is part of a high-performing analytics engineering function that brings together strong software engineering and world-class data science. The focus is firmly on productionising, scaling and operating ML solutions, using modern cloud-native tooling and agile ways of working to solve complex, high-impact problems.

Location: Sydney

Hybrid | 3 days in office/week

Salary: $160k Base + Super + Bonus

What You’ll Do:
  • Design, develop, deploy and maintain advanced analytics and machine learning solutions in a cloud-native environment
  • Build and operate end-to-end ML pipelines, including data pipelines, feature engineering, model deployment and API endpoints
  • Take primary ownership for productionising ML solutions developed in partnership with data scientists
  • Develop scalable, reliable batch and streaming solutions to support a wide range of business use cases
  • Build ML-backed services and APIs using Python (including frameworks such as FastAPI)
  • Collaborate closely with ML engineers, data engineers and data scientists in multidisciplinary, agile teams
  • Contribute to architecture and solution design, clearly communicating trade-offs and recommendations
  • Apply appropriate testing frameworks and engineering standards to ensure robustness, performance and reliability
  • Continuously improve engineering practices, tooling and ways of working to improve time-to-market and system quality
What You’ll Bring:
  • Strong experience working on production ML systems
  • A problem‑solving mindset with the ability to break down ambiguous, complex challenges into practical solutions
  • Solid commercial software engineering experience, with advanced Python skills and strong foundations in system design
  • Hands‑on experience building and operating ML pipelines (e.g. managed ML platforms or custom orchestration solutions)
  • Experience designing and integrating RESTful or gRPC APIs
  • Proven background building reliable, high-throughput batch and/or streaming systems
  • Experience working with cloud platforms and modern CI/CD pipelines
  • Familiarity with real-time or NoSQL data stores
  • Exposure to containerisation and orchestration technologies such as Docker and Kubernetes
  • Comfortable collaborating across disciplines and communicating technical concepts to both technical and non-technical stakeholders

If you have any questions about this role or others we have available you can email Jack directly via jack@thedrivegroup.com.au.

Seniority level
  • Mid‑Senior level
Employment type
  • Full-time
Job function
  • Information Technology
Industries
  • Staffing and Recruiting

TheDriveGroup is 100% committed to improving meaningful diversity in the technology industry.

We partner with clients who embrace diversity and seek candidates across all backgrounds, abilities, genders, sexualities, cultures, and faiths.

If you have the right skills and attitude we would love to hear from you!

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Senior Machine Learning Engineer
Senior Machine Learning Engineer

Nuage Technology Group • Sydney

On-site
AUD 80,000 - 120,000
Senior Machine Learning Engineer (AI & MLOps)
Senior Machine Learning Engineer (AI & MLOps)

SRA Information Technology • Canberra

Hybrid
AUD 140,000 - 210,000
Hybrid working
Machine Learning Engineers
Machine Learning Engineers

Talent • South Australia

On-site
AUD 120,000 - 180,000
Senior Machine Learning Engineer
Senior Machine Learning Engineer

Akkodis • Canberra

On-site
AUD 120,000 - 180,000
Weekly Pay
Upskilling opportunities
Associate gatherings/events
+2
Machine Learning Engineer
Machine Learning Engineer

NineTech • Sydney

On-site
AUD 1,000
Senior ML Engineer (MLOps) - Production-Ready, Cloud-Native
Senior ML Engineer (MLOps) - Production-Ready, Cloud-Native

TheDriveGroup • New South Wales

Hybrid
AUD 160,000
Senior Machine Learning Engineer
Senior Machine Learning Engineer

Jobgether • City of Melbourne

Hybrid
AUD 140,000 - 190,000
Remote/hybrid work environment
Principal Machine Learning Engineer
Principal Machine Learning Engineer

Mantech Recruitment • Sydney

On-site
AUD 130,000 - 185,000
Ai Ml Engineer
Ai Ml Engineer

Infosys Singapore & Australia • City of Melbourne

On-site
AUD 80,000 - 120,000
Opportunities for growth and development
Artificial Intelligence Engineer
Artificial Intelligence Engineer

NineTech • New South Wales

On-site