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Machine Learning Engineer Jobs in Townsville, QLD (12)

Android Engineer

Safetyculture 2
Townsville, QLD

Graduate Surveyor - Community Development

Stantec Consulting International Ltd
Townsville, QLD

Physicist Advanced, Queensland Health

Queensland Health
Townsville, QLD
Icon: salary
$218.1k / year

Clinical Nurse - Cardiac Catheter Laboratory and Education, Queensland Health

Queensland Health
Townsville, QLD
Part-Time
Icon: salary
$54 - $58 / hour

Water Quality Engineer (2 year fixed-term)

TRILITY Pty Ltd
Townsville, QLD

Postdoctoral Research Fellow, Geophysical Ore Body Modelling

James Cook University
Townsville, QLD
Icon: salary
$78.2k / year
‌

Engineer, Mining

Thiess Pty
Townsville, QLD
Health Insurance
‌

Network Engineer

Australian Institute of Marine Science
Townsville, QLD
Icon: salary
$97.5k - $111k / year
‌

Senior Consultant/ Associate, Contaminated Land Management

WSP
Townsville, QLD
‌

Parts Interpreter

Cummins
Townsville, QLD
New
Hourly
Warehouse
‌

Senior Environmental Consultant

Geoscience Ireland
Townsville, QLD
Parental Leave
‌

IT Support Engineer

EIL Global
Cranbrook, QLD
New
‌

Machine Learning Engineer

Woolworths Group
🌎 Remote
Remote
Entry-Level
Icon: salary
$99.9k / year
‌

Machine Learning Engineer

IAG
🌎 Remote
Remote
Entry-Level
Icon: salary
$120 / hour
‌

Machine Learning Engineer

Employees Mutuals Limited
🌎 Remote
New
Remote
Health Insurance
Parental Leave

Job Description

Working as a Machine Learning Engineer in Townsville, QLD

There are 12 Machine Learning Engineer opportunities available in Townsville, QLD all with unique requirements.

Machine Learning Engineers use automation and algorithms to optimize operations, maximize the efficiency of business processes. Responsibilities include designing, developing, and implementing systems using machine learning models such as neural networks, Bayesian networks, decision trees, support vector machines, and Hidden Markov Models. They use their programming skills to introduce logic into decision-making processes. These systems are used to improve manufacturing output; product development processes; logistical processes; communications; fraud detection; loan underwriting; credit risk prediction; medical diagnosis and treatment selection; security screening of subjects such as prisoners or immigrants seeking access to sensitive areas such as airports or courtrooms.

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