In-Demand Machine learning engineer Jobs in Docklands, Vic

Data Scientist
Publicis Groupe Holdings B.V —Southbank VIC
- Azure
- Data analysis skills
- SQL
Quick Apply
2d
Lead Engineer - AI/ML
Sportsbet —Melbourne VIC
- Full-time
- Hybrid work
- AI
- Annual leave
- On-the-job training
Computer Vision Engineer
AIM Defence —Melbourne VIC
- Overtime
- Engineering
- Organisational skills
- Communication skills
AI Software Engineer (Model Training)
Maincode —Melbourne VIC
- Full-time
- Machine learning
- APIs
- AI
Data Architect
InfoCentric —Melbourne VIC
- Full-time
- Azure
- AWS
- AI
Quick Apply
Senior Manager, Data Analytics Consulting
EPAM Systems, Inc. —Melbourne VIC
- Azure
- SQL
- AWS
C++ and C#/.Net - Senior Tech Lead
The Argyle Network —Melbourne City Centre VIC
- $150,000 a year
- Full-time
- Hybrid work
- Software development
- Leadership
Senior Principal Product Manager
Zendesk —Melbourne VIC
- Full-time
- Hybrid work
- Master's degree
- Product management
- APIs
14d
Senior Engineer, ML Systems (AI Products)
Xero —Hawthorn VIC
- Full-time
- Hybrid work
- Systems design
- SQL
- AWS
Support Engineer, Region Services
Amazon Support Services Pty Ltd —Melbourne VIC
- Full-time
- Software troubleshooting
- AWS
- Bachelor's degree
Systems Analyst, Region Services
Amazon Support Services Pty Ltd —Melbourne VIC
- Full-time
- Computer Science
- Engineering
- AWS
8d
Consultant - Data & Analytics
Synogize —Melbourne VIC
- Full-time
- Hybrid work
- SQL
- AI
- Communication skills
Quick Apply
16h
FSAI Labs Program Lead
Future Secure AI —Melbourne VIC
- Azure
- Doctoral degree
- Research
Quick Apply
Associate Support Engineer, Region Services
Amazon Support Services Pty Ltd —Melbourne VIC
- Full-time
- AWS
- Bachelor's degree
- Scripting
Key Account Specialist-Australia
Kennametal —Melbourne VIC
- Management
- Sales
- Microsoft Office
Field Engineering, AI/ML Product Specialist
Databricks —Melbourne VIC
- Azure
- Master's degree
- Machine learning
Senior AI Engineer
Axsys —Melbourne VIC
- Computer Science
- Master's degree
- AWS
- Parental leave
GCP Data Engineer - Data Modelling
Insignia Financial Ltd —Docklands VIC
- Full-time
- Computer science
- SQL
- No degree
7d
Senior Gemini Platform Engineer
Accenture —Melbourne VIC
- Full-time
- Management
- ERP systems
- SQL
Qantas 2027 Mechanical Fitter Apprenticeship – Engineering Workshop
Qantas Group —Melbourne VIC
- Full-time
- Parental leave
Quick Apply

I want to receive the latest job alert for machine learning engineer in docklands, vic

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

machine learning engineer jobs near docklands, vic

Support Engineer jobs in Melbourne VIC

Machine Learning Engineer jobs in Melbourne VIC

Computer Vision Engineer jobs in Melbourne VIC

Mechanical Engineer jobs in Melbourne VIC

Systems Analyst jobs in Melbourne VIC

Data Engineer jobs in Docklands VIC

Platform Engineer jobs in Melbourne VIC

Ai Ml Engineer jobs in Melbourne VIC

Data Architect jobs in Melbourne VIC

Delivery Manager jobs in Port Adelaide Sa

Nurse Manager jobs in Melbourne Vic

Delivery Manager jobs in Sydney Nsw

Restaurant Manager jobs in Melbourne Vic

Case Manager jobs in Sydney Nsw

Delivery Manager jobs in Geebung Qld

Delivery Manager jobs in The Hills Shire Nsw

Senior Executive Government jobs in Queensland

Senior Business Analyst jobs in Sydney Nsw

Lecturer Senior Lecturer jobs in Monash University Vic

Senior Mental Health Clinician jobs in Sydney Nsw

Data Scientist

Publicis Groupe Holdings B.V -
Southbank VIC

Quick Apply

Job Details

2 days ago

Qualifications

Jira
Power BI
Azure
Deployment
NumPy
Data analysis skills
Logistics
Git
Tableau
SQL
AWS
Docker
Machine learning
Confluence
REST
Forecasting
Agile
JSON
Systems analysis
Business requirements
AI
Communication skills
Marketing

Full Job Description

At Publicis Sapient, We’re Building Something Truly Exceptional! Our Data & AI practice designed to redefine how businesses operate, grow, and deliver value. We're not talking about trendy buzzwords—we're talking about real impact. AI is transforming industries, enriching customer experiences, and unlocking untapped potential—and we're leading that change every day

Join Publicis Sapient as a Senior Associate, Data Science and help shape the future of data-driven digital transformation. In this role, you will help to drive the Data & AI practice by playing a critical role in delivering solutions for our clients and contributing to business development activities. This is a hands-on role where you will apply advanced techniques for data analytics, machine learning, and AI as a core building block for our services.

You will leverage your experience across industries to understand business requirements, identify approaches and designs, and work with multi-disciplinary teams to develop solutions. As an evangelist for Analytics, you will engage with broader data, engineering, product, and strategy practices to provide insights into best practices and emerging technologies and techniques, ensuring that the solutions we develop are data and insight driven.

What you will do:

Design and implement advanced analytical solutions and machine learning models that drive measurable business value, selecting appropriate methodologies based on problem context, ensuring models are robust and interpretable, to ensure solutions meet client needs, not just basic requirements.
Build client relationships and deliver end-to-end data science engagements, from problem framing and exploratory analysis through to model deployment and impact measurement, translating complex analytical findings into actionable business recommendations and managing stakeholder expectations throughout the project lifecycle.
Thrive in cross-functional team environments, working closely with data engineers, analysts, software engineers, experience and strategy specialists, and business stakeholders to deliver integrated solutions, facilitating effective communication across technical and non-technical audiences, and driving consensus on complex decisions.
Help shape and grow our Data practice, invest in continuous learning and support development of others, stay current with emerging technologies and methodologies, and contribute to a collaborative team culture where knowledge sharing and growth are valued. Establish standards to ensure consistency across projects and teams.
Contribute to business development and firm visibility by participating in proposal development and client pitches, creating thought leadership content through, engaging with the broader data engineering community, and identifying opportunities to expand existing client relationships.

Experience and Skills required:

8+ years of relevant professional experience working as a data scientist.
A passion for using AI and data for business transformation and a thirst to continually learn and keep pace with the latest innovations and applications.
Experience in statistical methods and modelling techniques (e.g., Random Forests, Clustering, Linear Regression) and expertise in key areas such as customer intelligence (segmentation, behavior analysis, personalization, recommender systems, forecasting).
Experience using and integrating generative AI models and platforms, agentic solutions, and context engineering techniques.
Experience with programming languages (Python, R, SQL) and AI/ML platforms (e.g. Databricks, and cloud platforms (e.g. Azure Synapse, AWS SageMaker, Google Cloud Vertex AI).
Experience with data science, data visualization, and data analysis tools (e.g., scikit-learn, pandas and NumPy, Apache Spark, matplotlib, ggplot2).
Experience working with large volume data sets and multiple data formats and interfaces (SQL, JSON, REST, Parquet, streaming, geospatial, unstructured).
Technical knowledge of reporting and data visualization tools (Tableau & Power BI), graphing and chart libraries (e.g., matplotlib, plotly).
Experience working in a client-facing (ideally) consulting role, having great written and verbal communication skills, and the ability to work closely with stakeholders, or having been part of a project team.
Flexibility and the willingness to travel are required for this role, as you might need to spend time on-site with our clients.
Experience in agile methodologies and relevant tools (Confluence, Jira, git).
Experience working in cross-cultural and cross-disciplinary teams.

Desired Qualifications

Understanding of data (management) platforms (CDP, CRM, DMP, Big Data Lakes, Cloud) and tools (ETL, Processing, marketing automation, etc.).
Experience in production environments for Machine Learning products, knowledge of the tools that are needed for model deployment and lifecycle management in ML engineering (Docker, Kubernetes).
Solid knowledge of software engineering principles & deployment methods (preferably in cloud environments). Experience in data-driven marketing, campaign development, measurement, and optimization, Martech, CDP, etc.
Industry experience in the Finance, Automotive, Logistics, Energy, or public sector.

Quick Apply

Refine Your Search

machine learning engineer jobs in docklands, vic

Data Scientist

Lead Engineer - AI/ML

Computer Vision Engineer

AI Software Engineer (Model Training)

Data Architect

Senior Manager, Data Analytics Consulting

C++ and C#/.Net - Senior Tech Lead

Senior Principal Product Manager

Senior Engineer, ML Systems (AI Products)

Support Engineer, Region Services

Systems Analyst, Region Services

Consultant - Data & Analytics

FSAI Labs Program Lead

Associate Support Engineer, Region Services

Key Account Specialist-Australia

Field Engineering, AI/ML Product Specialist

Senior AI Engineer

GCP Data Engineer - Data Modelling

Senior Gemini Platform Engineer

Qantas 2027 Mechanical Fitter Apprenticeship – Engineering Workshop

I want to receive the latest job alert for machine learning engineer in docklands, vic

Related Searches

Explore jobs in more locations

Job Seeker Tools

Employer Tools

Browse

Stay Connected