... and local market learning. Your goal is simple: enhance steps 1 and 2 of our machine, create ... Collaborate with the UK marketing team and local freelancers to adapt core messaging. You'll ensure ...
... and local market learning. Your goal is simple: enhance steps 1 and 2 of our machine, create ... Collaborate with the UK marketing team and local freelancers to adapt core messaging. You'll ensure ...
... portfolio while learning how marketing initiatives drive business growth. This is a full-time ... Internship, freelance, student portfolio, or 0-2 years of relevant experience. * Demonstrated ...
... portfolio while learning how marketing initiatives drive business growth. This is a full-time ... Internship, freelance, student portfolio, or 0-2 years of relevant experience. * Demonstrated ...
Freelance Nvidia Machine Learning information
See Chicago, IL salary details
$24.23 is the 25th percentile. Wages below this are outliers.
$15.35 - $26.34
31% of jobs
The median wage is $33.11 / hr.
$26.34 - $37.33
31% of jobs
$37.33 - $48.31
4% of jobs
$57.92 is the 75th percentile. Wages above this are outliers.
$48.31 - $59.30
10% of jobs
$59.30 - $70.28
9% of jobs
$70.28 - $81.27
5% of jobs
$81.27 - $92.25
0% of jobs
$92.25 - $103.24
8% of jobs
$103.24 - $114.23
0% of jobs
$114.23 - $125.21
0% of jobs
$125.21 - $136.20
1% of jobs
$15
$49
$136
How much do freelance nvidia machine learning jobs pay per hour?
As of Aug 23, 2026, the average hourly pay for freelance nvidia machine learning in Chicago, IL is $49.15, according to ZipRecruiter salary data. Most workers in this role earn between $25.00 and $63.65 per hour, depending on experience, location, and employer.
What does a freelance Nvidia machine learning specialist do?
A Freelance Nvidia Machine Learning specialist is an independent contractor who uses Nvidia hardware and software platforms, such as CUDA and TensorRT, to develop, optimize, and deploy machine learning models. These professionals often work with clients to accelerate AI workloads, implement deep learning solutions, and leverage GPU computing for data processing tasks. Their projects may include computer vision, natural language processing, or other AI applications that benefit from Nvidia’s technology stack. Freelancers in this field need strong programming skills, familiarity with Nvidia SDKs, and experience optimizing models for high-performance computing environments.
What are the key skills and qualifications needed to thrive as a freelance Nvidia machine learning specialist?
To thrive as a Freelance Nvidia Machine Learning Engineer, you need a strong background in machine learning principles, deep learning frameworks (such as TensorFlow or PyTorch), and proficiency in Python programming, often supported by a relevant degree or certifications. Familiarity with Nvidia hardware (GPUs), CUDA programming, and tools like Nvidia Deep Learning SDKs is essential for optimizing and deploying models efficiently. Exceptional problem-solving, self-management, and client communication skills help you deliver effective solutions and maintain successful freelance relationships. Mastery of these skills ensures you can build high-performance models, meet client expectations, and stay competitive in the rapidly evolving ML landscape.
What are some common challenges freelance Nvidia machine learning specialists face when working with clients remotely?
Freelance Nvidia Machine Learning specialists often encounter challenges such as ensuring compatibility between client hardware and Nvidia GPU requirements, effectively communicating technical needs and project progress to non-expert clients, and managing project timelines without in-person oversight. Additionally, freelancers may need to set up secure access to client data or cloud environments, which can require extra coordination. Proactively clarifying expectations, maintaining clear documentation, and staying current with Nvidia's latest tools (like CUDA, cuDNN, or TensorRT) are essential strategies for overcoming these challenges.
What is the difference between Freelance Nvidia Machine Learning vs Freelance Data Scientist?
| Aspect | Freelance Nvidia Machine Learning | Freelance Data Scientist |
|---|---|---|
| Required Credentials | Knowledge of Nvidia GPU architectures, CUDA programming, machine learning frameworks | Statistics, programming, data analysis skills, often with similar certifications |
| Work Environment | Project-based, remote, often with tech companies or startups | Project-based or consulting, remote or on-site, across various industries |
| Industry Usage | AI, deep learning, GPU-accelerated applications | Data analysis, predictive modeling, business insights |
Freelance Nvidia Machine Learning specialists focus on GPU-accelerated AI projects using Nvidia technologies, while Freelance Data Scientists handle broader data analysis and modeling tasks. Both roles are in high demand for tech-driven projects but differ in technical focus and tools used.
What are the most commonly searched types of Nvidia Machine Learning jobs in Chicago, IL?
The most popular types of Nvidia Machine Learning jobs in Chicago, IL are:
What are popular job titles related to Freelance Nvidia Machine Learning jobs in Chicago, IL?
For Freelance Nvidia Machine Learning jobs in Chicago, IL, the most frequently searched job titles are:
- Machine Learning Engineer
- Machine Learning Engineer New Grad
- Embedded Machine Learning Engineer
- Machine Learning Engineer Biotech
- Volunteer Junior Machine Learning Engineer
- Machine Learning Engineer Apprenticeship
- Help Nlp Engineer
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- Full Time Machine Learning Engineer New Grad
- Senior Machine Learning Researcher
What job categories do people searching Freelance Nvidia Machine Learning jobs in Chicago, IL look for?
The top searched job categories for Freelance Nvidia Machine Learning jobs in Chicago, IL are:
- Physics Informed Machine Learning
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What cities near Chicago, IL are hiring for Freelance Nvidia Machine Learning jobs?
Cities near Chicago, IL with the most Freelance Nvidia Machine Learning job openings:
Full-time
Re-posted just now
Job description
About us
Risk Ledger is developing a network of connected organisations, all working together to defend against cybersecurity attacks in the supply chain.
Organisations rely on us to establish trust, through sharing their security maturity and visualising the risks posed by their supply chain ecosystem. And we're already trusted by customers like ASOS, British Airways, BAE Systems and the NHS.
We are putting together an amazing and talented team from a diverse set of backgrounds and skillsets to drive us towards our vision. Risk Ledger is built on the respect we have for one another and our users, united by our shared values and mission.
Every one of us is still learning: it's how we grow as individuals. We're curious. We're ambitious. And we're humble and honest. At Risk Ledger, we aim high to find the best solutions we can and always put our users first.
This Role:
Risk Ledger is expanding into the US, and we're looking for our first dedicated in-market marketing hire.
Working directly with Matt Fox, US Regional Sales Director, you will own the top of the funnel. While you will collaborate closely with our UK-based Head of Marketing and marketing team to leverage their core systems, your day-to-day mission is to build awareness and capture demand to fuel our US go-to-market motion.
This role is perfect for a hands-on, commercially minded marketer who thrives on autonomy and is excited by the challenge of building a new market from scratch. This is a broad regional role covering campaigns, events, content localization, HubSpot execution, and local market learning. Your goal is simple: enhance steps 1 and 2 of our machine, create momentum in the US, and establish a predictable pipeline engine.
What You'll Be Doing:
You will own the Top of the US Funnel to establish our footprint, focusing heavily on generating and capturing demand while the rest of the GTM team focuses on conversion and closing.
The US is the massive next frontier for Risk Ledger. While our GTM Director optimizes conversion and closing (Steps 3 & 4), you will be the engine that drives the top of the funnel (Steps 1 & 2). You will create the initial momentum, build the awareness, and lay the foundations for a highly repeatable US growth engine.
*Compensation Note: We have advertised a salary for the fixed-term contract, but we are open to compensating via an hourly/monthly rate as an alternative.
Chicago pay range
$125,000-$175,000 USD
Risk Ledger is developing a network of connected organisations, all working together to defend against cybersecurity attacks in the supply chain.
Organisations rely on us to establish trust, through sharing their security maturity and visualising the risks posed by their supply chain ecosystem. And we're already trusted by customers like ASOS, British Airways, BAE Systems and the NHS.
We are putting together an amazing and talented team from a diverse set of backgrounds and skillsets to drive us towards our vision. Risk Ledger is built on the respect we have for one another and our users, united by our shared values and mission.
Every one of us is still learning: it's how we grow as individuals. We're curious. We're ambitious. And we're humble and honest. At Risk Ledger, we aim high to find the best solutions we can and always put our users first.
This Role:
Risk Ledger is expanding into the US, and we're looking for our first dedicated in-market marketing hire.
Working directly with Matt Fox, US Regional Sales Director, you will own the top of the funnel. While you will collaborate closely with our UK-based Head of Marketing and marketing team to leverage their core systems, your day-to-day mission is to build awareness and capture demand to fuel our US go-to-market motion.
This role is perfect for a hands-on, commercially minded marketer who thrives on autonomy and is excited by the challenge of building a new market from scratch. This is a broad regional role covering campaigns, events, content localization, HubSpot execution, and local market learning. Your goal is simple: enhance steps 1 and 2 of our machine, create momentum in the US, and establish a predictable pipeline engine.
What You'll Be Doing:
You will own the Top of the US Funnel to establish our footprint, focusing heavily on generating and capturing demand while the rest of the GTM team focuses on conversion and closing.
- Step 1: Demand Generation (Cold ICP → Awareness): Turn our cold US Ideal Customer Profile (ICP) into highly aware prospects. You'll design and execute regional campaigns, leverage digital channels, and create buzz to get Risk Ledger on the radar of US security leaders.
- Step 2: Demand Capture (Awareness → Leads): Turn that awareness into high-intent inbound leads. You'll manage hands-on campaign execution in HubSpot (including lists, emails, landing pages, forms, workflows, and tracking) to capture interest.
- Field & Event Activity: Plan and deliver targeted US event activity; including intimate dinners, roundtables, webinars, and partner sessions, designed to spark meaningful conversations/pipeline with target accounts.
- Content & Message Localization: Collaborate with the UK marketing team and local freelancers to adapt core messaging. You'll ensure our campaign assets, event copy, email sequences, and blogs speak fluently to the nuances of the US cybersecurity and risk market.
- Feedback Loop: Act as our eyes and ears on the ground. Bring local market insights back to the wider team to help us understand what is resonating, which channels are working, and where we should double down.
- The Cyber Startup Blueprint: You have "zero-to-one" marketing experience in a B2B cybersecurity, risk, compliance, or GRC startup. Ideally, you've been part of an early-stage team (Pre-Seed or Seed) and helped scale that marketing motion through to Series A or B.
- Top-of-Funnel Masters: You have 3-5 years of B2B marketing experience with a proven track record in heavy demand generation and demand capture. You know how to get a technical audience to lean in.
- HubSpot Operators: You possess strong, hands-on HubSpot skills and understand how to build, track, and optimize clean marketing operational workflows.
- Autonomous Builders: You don't need a playbook handed to you. You are comfortable working closely with sales, managing multiple campaign deadlines, and executing independently across events, content, and digital channels.
- Commercial Mindset: You treat marketing as a revenue driver, not a coloring department. You understand how your top-of-funnel efforts directly feed into the broader sales machine.
- Deep familiarity with supply chain risk, third-party risk management (TPRM), or highly regulated industries.
- Experience supporting a UK/European company entering the US market.
- Exposure to modern GTM tools and tech stacks (e.g., ABM platforms, intent data, LinkedIn Ads, Salesforce, Clay, Lemlist, Factors.ai).
The US is the massive next frontier for Risk Ledger. While our GTM Director optimizes conversion and closing (Steps 3 & 4), you will be the engine that drives the top of the funnel (Steps 1 & 2). You will create the initial momentum, build the awareness, and lay the foundations for a highly repeatable US growth engine.
*Compensation Note: We have advertised a salary for the fixed-term contract, but we are open to compensating via an hourly/monthly rate as an alternative.
Chicago pay range
$125,000-$175,000 USD