AI & ML Engineers

The Digital Bench · Perth, Sydney +1, Australia
Location
Perth, Sydney +1, Australia
Type
Full-time
Salary
£70,000–95,000 / year
Posted
13 Nov 2026

Verified open 13 Nov 2026 · Source: Company careers page

About the role

AI & ML Engineers

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Job Profile

Relocate to Australia!

We have a growing client base in Australia who are looking for your skills and experience.

We’re keen to speak with IT professionals who are interested in living and working in the southern hemisphere. You might be an expat looking to return home, already have dual residency, or be eligible for one of the many visas now available. If you’re ready for a big change, get in touch for a chat and let’s see if we can make it happen.

Job Description

We are seeking an experienced AI / Machine Learning Engineer to join a growing technology team delivering innovative data-driven projects across Australia. You will work on cutting-edge solutions supporting industries such as finance, healthcare, engineering, digital services and advanced analytics.

This is an excellent opportunity for UK-based professionals seeking lifestyle relocation to Australia while working on high-impact AI solutions.

Job Title: AI / Machine Learning Engineer
Location: Perth, Sydney and Melbourne, Australia (Relocation support considered)
Salary: £70,000 – £95,000 equivalent + benefits
Job Type: Permanent, Full-time

Eligibility Requirement
Applicants must be eligible to live and work in Australia.

Candidate Specification

Key Responsibilities

  • Develop, deploy and optimise machine learning models
  • Work with large structured and unstructured datasets
  • Build predictive analytics solutions
  • Collaborate with data engineers and software teams
  • Evaluate model performance and improve accuracy
  • Apply generative AI where appropriate

Skills & Experience

Required Skills

  • Strong Python programming experience
  • Experience with TensorFlow, PyTorch or similar frameworks
  • Data modelling and feature engineering experience
  • Understanding of statistics and machine learning algorithms
  • Experience deploying models to production environments
  • Strong problem-solving skills

Desirable

  • Cloud platform experience (AWS, Azure or GCP)
  • Experience with MLOps tools
  • Knowledge of big data tools

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