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Aws Machine Learning Jobs in Chicago, IL (NOW HIRING)

Bespoke Labs

Machine Learning Engineer

Hammond, IN · On-site

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

The Hartford

Senior AI Machine Learning Engineer

Chicago, IL · Hybrid

$126K - $166K/yr

As a Senior Machine Learning Engineer , you will play a critical role in designing, building, and ... Development experience using both the AWS and GCP suite of tools. * Familiarity with SageMaker ...

The Hartford

Sr AI Machine Learning Engineer

Chicago, IL · Hybrid

$117K - $175K/yr

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations ... Development experience developing solutions within AWS, GCP or both. * Experience developing ...

Career Renew

Senior Machine Learning Engineer

Chicago, IL · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... AWS, GCP, or Azure) Knowledge of handling large scale image data, data version controls, model ...

AppFolio

Sr. Machine Learning Engineer

Chicago, IL · On-site

$107K - $147K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next ... Telephony & cloud: Production experience with Twilio (or comparable telephony) and AWS.

Cccis

Senior Manager - Machine Learning

Chicago, IL · On-site

The Role We are seeking a Senior Manager to lead our Machine Learning (ML) team in the subrogation ... Proficiency with AWS cloud and MLOps (Sagemaker, Lambda, Stepfunctions, IAM) * Strong software ...

Deloitte

Forward Deployed Engineer- AWS

Chicago, IL

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

The Hartford

Senior AI Machine Learning Engineer

Chicago, IL

$126K - $166K/yr

The Hartfordis seeking aSenior AI Machine Learning Engineerwithin Employee Benefits Applied AI and ... Deploy and sustain production AI services, jobs, APIs, and workflows in AWS and GCP environments ...

Accenture

AWS (AABG) Mid-Market Technical Architect

Chicago, IL · On-site

$66.75 - $87.50/hr

... machine learning, and generative AI implementations. * Conduct independent quality assessments and architecture reviews of in-flight projects to evaluate solution soundness, adherence to enterprise ...

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All JobsAws Machine Learning JobsAws Machine Learning Jobs in Chicago, IL

Aws Machine Learning information

See Chicago, IL salary details

$10

$72

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How much do aws machine learning jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for aws machine learning in Chicago, IL is $72.23, according to ZipRecruiter salary data. Most workers in this role earn between $64.18 and $84.28 per hour, depending on experience, location, and employer.

What is an AWS Machine Learning?

An AWS Machine Learning job involves designing, building, and deploying machine learning models using Amazon Web Services (AWS) cloud infrastructure. Professionals in this role work with services like Amazon SageMaker, AWS Lambda, and AWS Glue to develop AI-driven applications. They optimize models for scalability, integrate them into cloud-based systems, and ensure efficient data processing. Strong knowledge of machine learning algorithms, AWS architecture, and MLOps best practices is essential for success in this role.

What are the key skills and qualifications needed for an AWS Machine Learning?

To thrive as an AWS Machine Learning professional, you need a strong understanding of machine learning principles, proficiency in programming languages like Python, and experience with AWS cloud services such as SageMaker. AWS Certified Machine Learning certification and familiarity with data pipelines, EC2, and Lambda are commonly required. Strong problem-solving, communication, and teamwork skills help you translate business requirements into technical solutions and collaborate effectively with diverse stakeholders. These skills are essential to efficiently deploy and manage scalable machine learning models that deliver business value in cloud-based environments.

What does an AWS Machine Learning do?

In an AWS Machine Learning position, you'll typically design, develop, and deploy machine learning models using AWS services like SageMaker, Glue, and Lambda. Daily tasks often include data preprocessing, building and training models, and optimizing performance for production environments. You'll collaborate closely with data engineers, software developers, and business analysts to translate business needs into technical solutions. The role may also involve monitoring deployed models, managing cloud resources, and staying updated on new AWS features to ensure efficient and scalable machine learning workflows.

What are the most commonly searched types of Aws Machine Learning jobs in Chicago, IL? The most popular types of Aws Machine Learning jobs in Chicago, IL are:
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Aws Machine Learning jobs near you
Infographic showing various Aws Machine Learning job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $150,236 per year, or $72.2 per hour.

Machine Learning Engineer

Bespoke Labs

Hammond, IN • On-site

Full-time

Re-posted 25 days ago

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of ML engineering experience — model training, fine-tuning, or post-training pipelines in research or production

Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination

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