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Machine Learning Contract Jobs in Saint Louis, MO

Experience applying CV and machine learning (ML) techniques to EO imagery and data to address ... federal contract labor categories, wage rates, prior experience, skillsets, education, and ...

Python Tutor

Saint Louis, MO · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Ability to explain statistical modeling techniques, machine learning basics, and business ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Data Engineer

O Fallon, IL · On-site

$62 - $141/hr

Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that ... as well as contract-specific affordability and organizational requirements. The projected ...

Your duties will include performing CNC machine setups, tooling adjustments and changeovers, as ... Overtime is not available during the contract period but may be offered up to 2-3 hours per week ...

Data Scientist - Mid

Saint Louis, MO · On-site

$69K - $141K/yr

Familiarity with machine learning frameworks and model deployment. Experience operating within SAFe ... and contract wage rates, relevant prior work experience, specific skills and competencies ...

Sr. Procurement Manager

Saint Louis, MO · On-site

$92K - $124K/yr

Apply machine learning models to create dynamic supplier scorecards, analyze performance patterns ... and contract management systems * Must possess legal knowledge, ability to prepare/negotiate ...

Showing results 21-40

Machine Learning Contract information

See Saint Louis, MO salary details

$13

$22

$30

How much do machine learning contract jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for machine learning contract in Saint Louis, MO is $22.19, according to ZipRecruiter salary data. Most workers in this role earn between $19.18 and $24.76 per hour, depending on experience, location, and employer.

What is a machine learning contract?

A Machine Learning Contract job is a temporary or project-based role where professionals develop and implement machine learning models for a company. Contractors may work on tasks such as data preprocessing, model training, evaluation, and deployment. These roles are often remote or short-term, allowing companies to hire expertise for specific projects without long-term commitments.

What are the typical responsibilities and workflow for a machine learning contract?

As a Machine Learning Contract professional, you’ll often be brought in to design, build, and deploy machine learning models tailored to a client’s specific challenges, ranging from data preprocessing and exploratory analysis to model selection and performance tuning. You may also be responsible for documenting your work, presenting results to stakeholders, and advising on best practices for model integration. Contract positions frequently involve collaborating remotely with cross-functional teams and meeting project milestones within set timelines. This role is ideal for those who enjoy variety, autonomy, and leveraging their expertise across different industries and datasets.

What are the key skills and qualifications needed to thrive in a machine learning contract, and why are they important?

To thrive as a Machine Learning Contract professional, you need a solid background in programming (Python, R), data analysis, and machine learning algorithms, usually supported by a relevant degree in computer science or a related field. Familiarity with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn, as well as experience with cloud platforms like AWS or Azure, is typically required. Strong problem-solving abilities, time management, and effective communication are standout soft skills in contract-based roles. These competencies are crucial for efficiently delivering project-based solutions, collaborating with clients, and staying adaptable to varied organizational needs.

What are the most commonly searched types of Machine Learning jobs in Saint Louis, MO?

The most popular types of Machine Learning jobs in Saint Louis, MO are:

What job categories do people searching Machine Learning Contract jobs in Saint Louis, MO look for?

The top searched job categories for Machine Learning Contract jobs in Saint Louis, MO are:

Infographic showing various Machine Learning Contract job openings in Saint Louis, MO as of August 2026, with employment types broken down into 78% Full Time, and 22% Part Time. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $46,150 per year, or $22.2 per hour.

Senior AWS Cloud SRE - AI/ML Platform

Eightelevengroup

Maryland Heights, MO • On-site

$96 - $110/hr

Other

Medical, Dental, Vision, Retirement

Posted 3 days ago

New


Key responsibilities

  • Design, operate, and support scalable AWS infrastructure powering production AI/ML, GenAI, and anomaly-detection workloads

  • Collaborate with AI/ML and application engineers to productionize models, ML pipelines, LLM/RAG solutions, and other AI-driven services

  • Build and maintain infrastructure automation using Terraform and CI/CD, supporting containerized workloads on Kubernetes/EKS and related services


Job description

Senior AWS Cloud SRE – AI/ML Platform

13736 Riverport Drive, Maryland Heights, MO 63043 (Hybrid: 4 days onsite, 1 day remote)

Contract

Compensation: $70 - $80 per hour, DOE

ABOUT THE ROLE

Brooksource is seeking a Senior AWS Cloud Site Reliability Engineer (SRE) – AI/ML Platform to join a high-impact Fraud Prevention AI/ML Engineering Team within a Fortune 500 telecommunications client. In this contract role, you will own and enhance AWS infrastructure, automation, reliability, and production environments supporting modern AI/ML and GenAI workloads. You will operate at the intersection of traditional SRE/cloud engineering and modern MLOps/LLMOps, enabling teams to move AI applications and models into reliable, scalable production environments. The broader program includes agentic AI and anomaly-detection capabilities, leveraging technologies such as SageMaker, Bedrock, graph-based solutions, RAG, and other machine-learning services. This engagement is expected through the end of 2026, with potential for extension based on performance and business needs. You will have the opportunity to contribute to a high-visibility, new-build AI/ML initiative and work alongside talented engineers in a dynamic, relationship-driven environment.

WHAT YOU'LL DO
  • Design, operate, and support scalable AWS infrastructure powering production AI/ML, GenAI, and anomaly-detection workloads
  • Administer and automate AWS services across networking, compute, identity, storage, containers, serverless, monitoring, and security
  • Collaborate with AI/ML and application engineers to productionize models, ML pipelines, LLM/RAG solutions, and other AI-driven services
  • Build and maintain infrastructure automation using Terraform and CI/CD, supporting containerized workloads on Kubernetes/EKS and related services
  • Enhance platform reliability through monitoring, observability, incident response, troubleshooting, scaling, operational automation, and post-deployment validation
  • Support AI/ML platform capabilities involving SageMaker, Bedrock, graph databases, vector databases, and retrieval-based architectures
  • Ensure operational controls and best practices for production AI/ML, GenAI, and classical ML services
  • Take ownership of technical requirements from implementation through integration, deployment, and ongoing support
WHAT YOU BRING
  • 8+ years of overall technical experience, including 3+ years in SRE, DevOps, Cloud Administration, or Cloud Engineering roles within production AWS environments
  • Deep hands-on AWS experience with services such as EC2, VPC, IAM, S3, RDS, EKS/ECS, Lambda, CloudWatch, and CloudTrail
  • Strong Infrastructure-as-Code and automation skills using Terraform and scripting (Python, Bash, or similar)
  • Hands-on experience operating Kubernetes/EKS workloads, including scaling, networking, deployment, and secrets management
  • Working knowledge of the machine-learning lifecycle and production experience with SageMaker, Bedrock, or comparable AI/ML platforms
  • Experience supporting production AI/ML, GenAI, LLM/RAG, or classical ML services with observability, reliability, and operational controls
  • Demonstrated ownership mindset, taking technical requirements through implementation, integration, deployment, and ongoing support
WHAT'S IN IT FOR YOU
  • 401(k) Matching Plan
  • Medical, Dental, & Vision Plans
  • Relationship-driven process to find your best fit
  • 6 Paid Holidays
  • Regular meetings to ensure quality in your engagement
  • Employee Assistance Program (EAP) with virtual counseling, financial and legal services, life coaching, and more
  • Flexible, supportive work environment within a nationally recognized IT and Engineering services provider
ABOUT US

At Brooksource, relationships are the foundation of everything we do. Since 2000, we’ve built lasting partnerships with clients, consultants, and internal teams to deliver an exceptional experience across every engagement. As a trusted IT and Engineering services provider, Brooksource supports Fortune 500 organizations through Experience-Driven Staffing, Professional Services, and Elevate, our proprietary Workforce Transformation program. We offer flexible hiring models, including contract, contract-to-hire, and direct placement to meet your evolving business needs. Brooksource is a certified partner of leading platforms, including Salesforce, AWS, Microsoft, and Google Cloud, enabling us to deliver scalable, end-to-end technology solutions. With a growing national footprint, Brooksource is redefining expectations in IT consulting, engineering services, and technology workforce solutions.

EEO STATEMENT

Brooksource is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.

PAY DISCLAIMER

The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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