In-Demand Machine learning engineer Jobs in Docklands, Vic

Solution Engineer
Snowflake —Melbourne VIC
- Azure
- Computer Science
- Engineering
8d
Snowflake Data Engineer
Cognizant —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- SQL
- AWS
Head of Engineering
EQL —Cremorne VIC
- $200,000 - $250,000 a year
- Full-time
- Hybrid work
- AI
- Annual leave
- Parental leave
Quick Apply
3d
Senior Engineer - ML Systems (AI Products)
Xero —Hawthorn VIC
- Full-time
- Hybrid work
- Systems design
- Research
- Master's degree
Specialist SA, Developer Transformation
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- Computer Science
- Public speaking
- SQL
Google Data Engineer - GCP
NCS Australia —Melbourne VIC
- Full-time
- Hybrid work
- Parental leave
Quick Apply
Data Test Engineer
Cognizant —Melbourne VIC
- Full-time
- Hybrid work
- SQL
- AI
Systems Analyst, Region Services
Amazon Support Services Pty Ltd —Melbourne VIC
- Full-time
- Computer Science
- Engineering
- AWS
Finance BI & Data Engineer
Who Gives A Crap —Melbourne VIC
- From $11,700 a month
- Full-time
- Management
- Analysis skills
- In-person
- Health insurance
- Dental insurance
Quick Apply
11d
Associate DevOps Analyst, Region Services
Amazon Support Services Pty Ltd —Melbourne VIC
- Full-time
- AWS
- Scripting
- AI
Founding ML Engineer
Base Compute —Melbourne VIC
- Full-time
- Master's degree
- AI
Quick Apply
Research Officer
Murdoch Childrens Research Institute —Parkville VIC
- $109,334 - $113,347 a year
- Full-time
- Doctoral degree
- Analysis skills
- Machine learning
- Commuter assistance
9d
Senior AI Engineer
City FM Australia —Mulgrave VIC
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
Quick Apply
Engineering Manager - Search Intelligence
News Corp —Melbourne VIC
- Hybrid work
- Machine learning
- APIs
- AI
- Parental leave
9d
Senior Backend Engineer
AutoGrab —South Yarra VIC
- Full-time
- Hybrid work
- AWS
- Machine learning
- Scripting
Quick Apply
AI Engineer (Senior)
AMP Limited —Melbourne VIC
- Full-time
- Azure
- AWS
- Machine learning
Forward Deployed Engineering Manager, Gen AI
Google —Melbourne VIC
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Data Scientist, Applied Science
Future Secure AI —Melbourne VIC
- $110,000 - $210,000 a year
- Azure
- Doctoral degree
- Computer Science
Quick Apply
Data Engineer
Kogan —South Melbourne VIC
- Full-time
- SQL
- AWS
- Machine learning
- Wellness program
Senior Engineer, ML Systems (AI Products)
Xero —Hawthorn VIC
- Full-time
- Hybrid work
- Systems design
- SQL
- AWS

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machine learning engineer jobs near docklands, vic

Solution Engineer

Snowflake -
Melbourne VIC

Apply Now

Job Details

8 days ago

Qualifications

Power BI
Azure
Computer Science
Deployment
Engineering
Tableau
SQL
AWS
Machine learning
Solution architecture
SaaS
AI
Communication skills

Full Job Description

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

SOLUTIONS ENGINEER

Snowflake is growing fast, and we are looking for a Solutions Engineer to help customers understand, evaluate, and realise the value of the Snowflake AI Data Cloud.

In this role, you will partner closely with Sales, Product, Engineering, and Marketing to connect customer business challenges with modern data and AI solutions. You will be a trusted technical advisor throughout the customer journey, combining strong technical depth with customer-facing communication, solution design, and practical execution.

WHAT YOU WILL DO

Partner with account executives and cross-functional teams to drive the technical win across the sales cycle.
Present Snowflake’s vision, platform, and value to both technical and executive audiences.
Work hands-on with prospects and customers through discovery sessions, demonstrations, workshops, and proof-of-concept engagements.
Guide customers on modern data architecture, solution design, and implementation approaches across analytics, data engineering, AI/ML, performance, and governance.
Translate customer business challenges into practical solution patterns that drive adoption and long-term value.
Build trusted relationships with architects, engineers, platform teams, and business stakeholders within strategic accounts.
Maintain an understanding of competitive and complementary technologies and position Snowflake effectively in relation to them.
Collaborate with Product Management, Engineering, and Marketing to improve Snowflake’s products, messaging, and field effectiveness.
Help customers stay current on Snowflake product innovation, roadmap developments, and emerging use cases.
Represent Snowflake in customer meetings, executive briefings, workshops, and industry events.

WHAT WE’RE LOOKING FOR

Experience in a customer-facing solutions engineering, sales engineering, solution architecture, or technical pre-sales role.
Strong competency across modern data stacks, including ETL/ELT, data warehouses, data lakes, analytics, and cloud-native data platforms.
Experience working with enterprise customers in complex technical and stakeholder environments.
Strong hands-on technical capability, including SQL and Python.
Ability to connect a customer’s technical and business challenges to a practical Snowflake solution.
Excellent communication and presentation skills, with the ability to engage both technical and executive audiences.
Confidence facilitating whiteboarding sessions, technical workshops, and solution discussions.
A pragmatic, collaborative approach and a willingness to be hands-on in driving customer success.
Strong relationship-building capability and the ability to simplify complex technical concepts into clear business narratives.

NICE TO HAVE

Experience with AI and machine learning deployment workflows.
Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Familiarity with business intelligence and data visualization tools such as Tableau or Power BI.
Experience with large-scale database technologies and cloud data platforms.
Background in enterprise SaaS and complex technical sales cycles.
A degree in computer science, engineering, mathematics, or a related field, or equivalent practical experience.

WHAT SUCCESS LOOKS LIKE

You establish credibility quickly with technical teams and key stakeholders.
You translate Snowflake capabilities into clear business and technical value.
You create technical champions and trusted relationships within the customer environment.
You contribute to immediate deal progression as well as long-term account growth.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Apply Now

Refine Your Search

machine learning engineer jobs in docklands, vic

Solution Engineer

Snowflake Data Engineer

Head of Engineering

Senior Engineer - ML Systems (AI Products)

Specialist SA, Developer Transformation

Google Data Engineer - GCP

Data Test Engineer

Systems Analyst, Region Services

Finance BI & Data Engineer

Associate DevOps Analyst, Region Services

Founding ML Engineer

Research Officer

Senior AI Engineer

Engineering Manager - Search Intelligence

Senior Backend Engineer

AI Engineer (Senior)

Forward Deployed Engineering Manager, Gen AI

Data Scientist, Applied Science

Data Engineer

Senior Engineer, ML Systems (AI Products)

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