Is the Senior Machine Learning Engineer position at Fleet Space Technologies fully remote?

Yes, this Senior Machine Learning Engineer position at Fleet Space Technologies is a remote position. The role is available for candidates in Australia.

Is this a full-time or part-time Senior Machine Learning Engineer role?

This is a full-time Senior Machine Learning Engineer position at Fleet Space Technologies.

What benefits does Fleet Space Technologies offer for this position?

Fleet Space Technologies offers the following benefits: Equity, Learning Budget, Employee Assistance Program.

How do I apply for the Senior Machine Learning Engineer position at Fleet Space Technologies?

You can apply for this Senior Machine Learning Engineer position by clicking the "Apply Now" button on this page, which will take you to Fleet Space Technologies's application portal.

Senior Machine Learning Engineer at Fleet Space Technologies

Australia

This role can be based anywhere in Australia with remote first work or in Adelaide or Perth with Hybrid working where our offices are located. Critical minerals are the bottleneck in the clean energy transition, and finding them faster is as much a machine learning problem as a geophysics one. At Fleet Space, our satellite-enabled exploration technology helps generate the data and the models to find deposits faster and more efficiently. To help continue to build and scale our products we are looking for a Senior Machine Learning Engineer to develop, mature and deploy the models and systems behind that work. You will partner with our another Senior ML Engineer & our Data science team to take research models from notebooks and prototypes through to production-grade products, and you will own the pipelines, GPU environments and infrastructure those systems run on. This is a role with genuine ownership over model quality. You will design leakage-safe evaluation, verify that uncertainty calibration holds as new data lands, and keep every model's lineage reproducible from config through to prediction. You will also own our ML experiment platform: MLflow tracking and the model registry, run identity and provenance conventions, and the environments and dependencies that training jobs run in. Where the platform team has shared infrastructure modules you will reuse them, and you will contribute new patterns back. What You’ll Do<ul><li dir="ltr" aria-level="1">Work with the data science team to transition research models into production-ready products, with code quality, scalability and best practice built in rather than retrofitted.</li><li dir="ltr" aria-level="1">Build and maintain robust, efficient ML and data pipelines and the infrastructure behind them, including configuring GPU environments for scalable ML systems.</li><li dir="ltr" aria-level="1">Own model quality across retrain cycles: leakage-safe evaluation, calibrated uncertainty that holds as new data lands, and reproducible lineage from config to prediction.</li><li dir="ltr" aria-level="1">Own the ML experiment platform end to end: MLflow tracking and model registry, run identity and provenance conventions, and the environments and dependencies training jobs run in.</li><li dir="ltr" aria-level="1">Partner with the platform team, reusing shared infrastructure modules where they exist and contributing new patterns back.</li><li dir="ltr" aria-level="1">Write clean, testable Python (SOLID principles) backed by unit tests and automated end-to-end tests.</li><li dir="ltr" aria-level="1">Keep pace with where ML and MLOps are heading, and bring the useful parts back into how we work. </li></ul>What We Are Looking  <ul><li dir="ltr" aria-level="1">Deep expertise in machine learning across modeling, engineering and architecture, with proven experience as a software engineer focused on ML.</li><li dir="ltr" aria-level="1">Alignment to our stack; Python (Pandas, NumPy, scikit-learn, TensorFlow, PyTorch), MLflow, AWS, Databricks, Terraform, GitLab, and Zarr and Icechunk for big-array data.</li><li dir="ltr" aria-level="1">Experience with Geospatial data would be a big plus</li><li dir="ltr" aria-level="1">Experience in startup environments, building ML products and environments from early stages</li><li dir="ltr" aria-level="1">Experience across the full ML lifecycle, from data preprocessing and feature engineering through to training, evaluation and deployment.</li><li dir="ltr" aria-level="1">A track record of taking research artifacts (notebooks, scratch apps, prototype models) to production-grade solutions that scale, for example models served as a service.</li><li dir="ltr" aria-level="1">Data engineering from first principles: deterministic, idempotent pipelines, schema and contract discipline at data boundaries, and deliberate failure and retry semantics.</li><li dir="ltr" aria-level="1">Software delivery from first principles: continuous release with automated gates, observability, and clean design in application architecture.</li><li dir="ltr" aria-level="1">Solid grounding in MLOps: model development, deployment and data versioning, ideally in a startup or scale-up environment.</li><li dir="ltr" aria-level="1">Strong Python, with the common data science and ML libraries, and solid software engineering fundamentals across data structures, algorithms and design patterns.</li><li dir="ltr" aria-level="1">Hands-on AWS and Databricks experience, managing infrastructure as code with Terraform and designing to well-architected principles.</li><li dir="ltr" aria-level="1">Experience with code and data version control such as GitLab, MLflow and Icechunk.</li><li dir="ltr" aria-level="1">A high-ownership mindset: you balance technical debt against speed of value delivery and make that trade-off pragmatically.</li><li dir="ltr" aria-level="1">A high-agency mindset: you are comfortable where structure does not exist yet and needs to be built, and you treat iterative delivery as a means to that end rather than a ceremony.</li><li dir="ltr" aria-level="1">Exposure to big-array data such as remote sensing workflows, including Zarr and Icechunk, would be an advantage, as would experience with big data technologies, contributions to open-source ML projects, and comfort working with AI-assisted development workflows such as agentic coding tools and AI code review. </li></ul>About Fleet Space Fleet Space Technologies' vision from the beginning was to build technologies to help humanity explore and connect the Earth, Moon, and Mars. This led us to develop and launch one of Australia's largest constellation of satellites, create our satellite-enabled mineral exploration technology (ExoSphere), and send Australia's first seismic technology (SPIDER) to the Moon in 2026. ExoSphere, our end-to-end mineral exploration solution powered by space and AI, aims to accelerate critical mineral discovery needed for the clean energy technologies foundational to humanity's future. As part of Fleet's founding vision, we also apply our technology to innovative solutions for defense and space exploration, including an upcoming mission to the Moon. We are headquartered in Adelaide, South Australia, with growing teams in the USA, Canada, and beyond. Company Culture As a company, we are revolutionising the exploration of new worlds with advanced space technology to build a more prosperous future for humanity. As a culture, we are ambitious, innovative, and collaborative and we put our customers first in everything that we do. Our company values guide us to our North Star of ambitious, collaborative success: AD ASTRA (“To the Stars!”) <ul><li dir="ltr" aria-level="1">Add Value: Obsessively add value for our customers</li><li dir="ltr" aria-level="1">Drive Excellence: Benchmark against the best</li><li dir="ltr" aria-level="1">Agile Action: Take Action. Independent, fast, frugal action</li><li dir="ltr" aria-level="1">Seek Truth: Be curious. Explore</li><li dir="ltr" aria-level="1">Take Responsibility: Make decisions and own them</li><li dir="ltr" aria-level="1">Radical Ideas: We are unique. We do things differently</li><li dir="ltr" aria-level="1">Always Deliver: We always find a way to get it done on time </li></ul>Our Benefits Include <ul><li dir="ltr" aria-level="1">We have an extremely flexible work culture, with a mix of onsite, hybrid and remote workers who take time for school runs, exercise and appointments. It's about getting the work done, not time at desk.</li><li dir="ltr" aria-level="1">Equity (ESOP) grants.</li><li dir="ltr" aria-level="1">20 days of annual leave + 10 extra Wellness days per year.</li><li dir="ltr" aria-level="1">Learning budgets.</li><li dir="ltr" aria-level="1">Access to confidential Psychologist appointments via our Employee Assistance Program.</li><li dir="ltr" aria-level="1">Plenty of opportunity to be part of an amazing STEM program to create the next generation of explorers. </li></ul>Equal Opportunity Fleet is an Equal Opportunity Employer; employment with Fleet is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, colour, religion, gender, national origin/ethnicity, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Apply Now

Remote Opportunity

Senior Machine Learning Engineer

Join Fleet Space Technologies as a senior professional working remotely from Australia. Explore the role, benefits, and apply in one place.

Senior Machine Learning Engineer

Fleet Space Technologies

Full Time

2 weeks ago

This role can be based anywhere in Australia with remote first work or in Adelaide or Perth with Hybrid working where our offices are located. Critical minerals are the bottleneck in the clean energy transition, and finding them faster is as much a machine learning problem as a geophysics one.

Australia

Senior

Machine Learning

Python

MLOps

+5 more

Job Description

This role can be based anywhere in Australia with remote first work or in Adelaide or Perth with Hybrid working where our offices are located.

Critical minerals are the bottleneck in the clean energy transition, and finding them faster is as much a machine learning problem as a geophysics one. At Fleet Space, our satellite-enabled exploration technology helps generate the data and the models to find deposits faster and more efficiently.

To help continue to build and scale our products we are looking for a Senior Machine Learning Engineer to develop, mature and deploy the models and systems behind that work. You will partner with our another Senior ML Engineer & our Data science team to take research models from notebooks and prototypes through to production-grade products, and you will own the pipelines, GPU environments and infrastructure those systems run on.

This is a role with genuine ownership over model quality. You will design leakage-safe evaluation, verify that uncertainty calibration holds as new data lands, and keep every model's lineage reproducible from config through to prediction. You will also own our ML experiment platform: MLflow tracking and the model registry, run identity and provenance conventions, and the environments and dependencies that training jobs run in. Where the platform team has shared infrastructure modules you will reuse them, and you will contribute new patterns back.

What You’ll Do

Work with the data science team to transition research models into production-ready products, with code quality, scalability and best practice built in rather than retrofitted.
Build and maintain robust, efficient ML and data pipelines and the infrastructure behind them, including configuring GPU environments for scalable ML systems.
Own model quality across retrain cycles: leakage-safe evaluation, calibrated uncertainty that holds as new data lands, and reproducible lineage from config to prediction.
Own the ML experiment platform end to end: MLflow tracking and model registry, run identity and provenance conventions, and the environments and dependencies training jobs run in.
Partner with the platform team, reusing shared infrastructure modules where they exist and contributing new patterns back.
Write clean, testable Python (SOLID principles) backed by unit tests and automated end-to-end tests.
Keep pace with where ML and MLOps are heading, and bring the useful parts back into how we work.

What We Are Looking

Deep expertise in machine learning across modeling, engineering and architecture, with proven experience as a software engineer focused on ML.
Alignment to our stack; Python (Pandas, NumPy, scikit-learn, TensorFlow, PyTorch), MLflow, AWS, Databricks, Terraform, GitLab, and Zarr and Icechunk for big-array data.
Experience with Geospatial data would be a big plus
Experience in startup environments, building ML products and environments from early stages
Experience across the full ML lifecycle, from data preprocessing and feature engineering through to training, evaluation and deployment.
A track record of taking research artifacts (notebooks, scratch apps, prototype models) to production-grade solutions that scale, for example models served as a service.
Data engineering from first principles: deterministic, idempotent pipelines, schema and contract discipline at data boundaries, and deliberate failure and retry semantics.
Software delivery from first principles: continuous release with automated gates, observability, and clean design in application architecture.
Solid grounding in MLOps: model development, deployment and data versioning, ideally in a startup or scale-up environment.
Strong Python, with the common data science and ML libraries, and solid software engineering fundamentals across data structures, algorithms and design patterns.
Hands-on AWS and Databricks experience, managing infrastructure as code with Terraform and designing to well-architected principles.
Experience with code and data version control such as GitLab, MLflow and Icechunk.
A high-ownership mindset: you balance technical debt against speed of value delivery and make that trade-off pragmatically.
A high-agency mindset: you are comfortable where structure does not exist yet and needs to be built, and you treat iterative delivery as a means to that end rather than a ceremony.
Exposure to big-array data such as remote sensing workflows, including Zarr and Icechunk, would be an advantage, as would experience with big data technologies, contributions to open-source ML projects, and comfort working with AI-assisted development workflows such as agentic coding tools and AI code review.

About Fleet Space

Fleet Space Technologies' vision from the beginning was to build technologies to help humanity explore and connect the Earth, Moon, and Mars.

This led us to develop and launch one of Australia's largest constellation of satellites, create our satellite-enabled mineral exploration technology (ExoSphere), and send Australia's first seismic technology (SPIDER) to the Moon in 2026. ExoSphere, our end-to-end mineral exploration solution powered by space and AI, aims to accelerate critical mineral discovery needed for the clean energy technologies foundational to humanity's future.

As part of Fleet's founding vision, we also apply our technology to innovative solutions for defense and space exploration, including an upcoming mission to the Moon. We are headquartered in Adelaide, South Australia, with growing teams in the USA, Canada, and beyond.

Company Culture

As a company, we are revolutionising the exploration of new worlds with advanced space technology to build a more prosperous future for humanity.

As a culture, we are ambitious, innovative, and collaborative and we put our customers first in everything that we do.

Our company values guide us to our North Star of ambitious, collaborative success: AD ASTRA (“To the Stars!”)

Add Value: Obsessively add value for our customers
Drive Excellence: Benchmark against the best
Agile Action: Take Action. Independent, fast, frugal action
Seek Truth: Be curious. Explore
Take Responsibility: Make decisions and own them
Radical Ideas: We are unique. We do things differently
Always Deliver: We always find a way to get it done on time

Our Benefits Include

We have an extremely flexible work culture, with a mix of onsite, hybrid and remote workers who take time for school runs, exercise and appointments. It's about getting the work done, not time at desk.
Equity (ESOP) grants.
20 days of annual leave + 10 extra Wellness days per year.
Learning budgets.
Access to confidential Psychologist appointments via our Employee Assistance Program.
Plenty of opportunity to be part of an amazing STEM program to create the next generation of explorers.

Equal Opportunity

Fleet is an Equal Opportunity Employer; employment with Fleet is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, colour, religion, gender, national origin/ethnicity, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Benefits

Equity
Learning Budget
Employee Assistance Program

Skills

Machine Learning

Python

MLOps

AWS

Databricks

Terraform

MLflow

PyTorch

Ready to Apply?

Join Fleet Space Technologies today

Posted 2 weeks ago

More AI roles you might like

Discover similar opportunities from companies that are also hiring remotely.

AI Product Lead, AI Experience & Quality

Flodesk

Full Time

$150k - $200k

23 hours ago

Flodesk is recognized in the Inc 5000 as one of the world's fastest-growing email marketing companies, built to help entrepreneurs sell online and design emails that people love to get.

Worldwide

Machine Learning

Senior

AI product management

Prompt Engineering

LLM Evaluation

+5 more

Senior Applied AI Engineer, Agent Quality & Evaluations

Flodesk

Full Time

$150k - $250k

23 hours ago

Flodesk is recognized in the Inc 5000 as one of the world's fastest-growing email marketing companies, built to help entrepreneurs sell online and design emails that people love to get.

Worldwide

Machine Learning

Senior

Python

TypeScript

LLM

+5 more

Senior Developer Relations Manager - Gen AI

NVIDIA

Full Time

23 hours ago

We are seeking a highly technical and strategic Senior Developer Relations Manager to join our team, with a focus on engaging developer ecosystems across emerging technology domains.

Germany

Machine Learning

Staff

Agentic AI

Generative AI

LLMs

+5 more

Explore more remote openings

Browse fresh listings from our global community of remote-friendly teams.

Mortgage Processor

American National Bank & Trust

Full Time

19 hours ago

GENERAL DESCRIPTION : The Mortgage Processor is responsible for processing residential real estate loans from application through closing while ensuring compliance with Bank policies, investor guidelines, and applicable federal and state regulations.

United States

Engineering

Backend Engineering

Mid

Mortgage processing

Loan Origination Systems

Regulatory Compliance

+5 more

Senior Communications Specialist

Vistra Communications

Full Time

21 hours ago

Vistra is seeking a Senior Communications Specialist to analyze, develop, and execute written/visual communication content related to suicide prevention, intervention, and postvention.

United States

Engineering

Backend Engineering

Staff

Strategic Communications

Public affairs

Marketing

+5 more

Area Sales Manager - Pacific Northwest

Bidadoo Inc

Full Time

$60k - $80k

21 hours ago

The Area Sales Manager for Pacific Northwest, ideally based in Washington or Oregon will play a key role in managing existing accounts, acquiring new customers, and serving as a trusted consultant.

United States

Sales

Account Executive

Mid

Sales

Outside Sales

Lead Generation

+5 more

Account Executive

Leading Edge Administrators LLC

Full Time

$80k - $100k

22 hours ago

This position offers the flexibility to work remotely. However, candidates located near our offices in Wall Street, Brooklyn or Tampa are preferred, as proximity to these locations may be beneficial for occasional in-person collaboration.

United States

Sales

Account Executive

Senior

Account Management

Sales

Healthcare Insurance

+5 more

Senior Site Reliability Engineer Lead

Akamai

Full Time

$121.4k - $218.6k

23 hours ago

Do you have a passion for cutting edge technologies and tackling system problems? Are you a self-starting professional who thrives in a dynamic environment? Join our highly skilled Site Reliability team!

United States

Engineering

DevOps / SRE

Senior

Site reliability engineering

Linux

Hardware architecture

+5 more

Channel Account Manager

CoreView

Full Time

23 hours ago

About CoreView CoreView is the global leader in Microsoft 365 (M365) tenant resilience, serving over 23 million users worldwide. We empower the world’s leading organizations to master the complexity of Microsoft M365.

United States

Engineering

Backend Engineering

Mid

Channel Management

SaaS

Microsoft 365

+5 more

Staff Data Scientist

Boulevard

Full Time

$164k - $205k

23 hours ago

Who is Boulevard? Boulevard provides the first and only client experience platform for appointment-based, self-care businesses. We empower our customers to give their clients more of the magical moments that matter most.

United States

Data

Data Science

Senior

Data Science

Product Analytics

SQL

+5 more

Staff Data Scientist

Boulevard

Full Time

$164k - $205k

23 hours ago

United States

Data

Data Science

Senior

Data Science

Product Analytics

SQL

+5 more

Remote Phone Fundraiser – Use Your Voice to Make a Difference

Public Outreach Consultancy Inc

Full Time

$0.019k - $0.024k

23 hours ago

Remote Phone Fundraiser – Use Your Voice to Make a Difference | $19–$24/hr Work remotely. Build real connections. Fundraise for causes that matter. Are you someone who can talk to almost anyone, tell a great story, and get genuinely excited about something you care about?

United States

Engineering

Backend Engineering

Entry

Communication

Storytelling

fundraising

+5 more

Solutions Engineer

Yuno

Full Time

23 hours ago

Remote, Latam, Full Time, Individual Contributor, +4 years of experience Who We Are At Yuno, we are building the payment infrastructure that allows all companies to participate in the global market.

Mexico

France

Engineering

Backend Engineering

Mid

Solutions engineering

Technical implementation

REST APIs

+5 more

Technical Program Manager – SAP Signavio

Tech Mahindra (America's) Inc

Full Time

$120k - $160k

23 hours ago

Technical Program Manager – SAP Signavio Location: Remote US Employment: Full Time We are looking for an experienced Technical Program Manager (TPM) – SAP Signavio to lead enterprise process transformation initiatives within our clients’ ecosystem.

United States

Operations

Senior

Technical Program Management

BPMN 2.0

Process Mining

+5 more

Senior Editor, Conferences & Events

Bionews, Inc.

Full Time

23 hours ago

<h1>About the Role</h1>Bionews is looking for a Senior Editor to build and lead the editorial strategy and content programming across live and virtual rare disease conferences and events.

United States

Engineering

Backend Engineering

Senior

Editorial strategy

Journalism

Project Management

+5 more