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Contractual R Programming Language Jobs in Chicago, IL

Accord Technologies Inc.

MLOPS Engineer

Chicago, IL · On-site

MLOPS Engineer Location: Chicago, IL Duration: 12+ months Position type: W2 contract Required Skills f or the MLOps Engineer: - Bachelor's plus 9+ years of experience, Master ...

Next Step Systems

Tactics Associate

Northbrook, IL · On-site

Qualifications: - Advanced quantitative skills. - Proficiency in a high-level programming language (R or Python). - Experience working with large data sets. - Knowledge of Databases (MySQL, SQL, etc ...

Next Step Systems

Quantitative Analyst

Northbrook, IL · On-site

Qualifications: - Advanced quantitative skills. - Proficiency in a high-level programming language (R or Python). - Experience working with large data sets. - Knowledge of Databases (MySQL, SQL, etc ...

IMC

Graduate Quantitative Trader

Chicago, IL

$250K/yr

Experience in a programming language is a plus (e.g. Python, Matlab or R) * Interest in Financial Markets; previous knowledge is NOT required * Must be available for full-time employment starting in ...

CME Group

Lead Security Software Engineer

Chicago, IL · On-site

Demonstrate high skill in programming language proficiency, with mastery in at least one primary ... R eview code to proactively identify and mitigate potential issues and defects and help to identify ...

IMC

Graduate Quantitative Trader

Chicago, IL · On-site

$250K/yr

Experience in a programming language is a plus (e.g. Python, Matlab or R) * Interest in Financial Markets; previous knowledge is NOT required * Must be available for full-time employment starting in ...

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All JobsContractual R Programming Language JobsContractual R Programming Language Jobs in Chicago, IL

Contractual R Programming Language information

See Chicago, IL salary details

$82.4K

$127.7K

$155.6K

How much do contractual r programming language jobs pay per year?

As of Jul 27, 2026, the average yearly pay for contractual r programming language in Chicago, IL is $127,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $143,700.00 per year, depending on experience, location, and employer.

What is the difference between Contractual R Programming Language vs Data Analyst?

AspectContractual R Programming LanguageData Analyst
Required skillsProficiency in R, statistical analysis, data visualizationData manipulation, statistical analysis, reporting
Work environmentProject-based, freelance or contractual rolesFull-time or part-time in organizations
Industry usageResearch, finance, healthcare, academiaBusiness, marketing, finance, healthcare

Contractual R Programming Language specialists focus on applying R for specific projects on a contractual basis, often working independently or with consulting firms. Data Analysts typically work within organizations, using R among other tools to analyze data and generate reports. While both roles require knowledge of R, Contractual R Programmers emphasize project-based work, whereas Data Analysts have broader responsibilities within a company.

What are the most commonly searched types of R Programming Language jobs in Chicago, IL? The most popular types of R Programming Language jobs in Chicago, IL are:
What are popular job titles related to Contractual R Programming Language jobs in Chicago, IL? For Contractual R Programming Language jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Contractual R Programming Language jobs in Chicago, IL look for? The top searched job categories for Contractual R Programming Language jobs in Chicago, IL are:
Contractual R Programming Language jobs near you
Infographic showing various Contractual R Programming Language job openings in Chicago, IL as of June 2026, with employment types broken down into 100% Full Time. Highlights an 90% In-person, and 10% Hybrid job distribution, with an average salary of $127,738 per year, or $61.4 per hour.
MLOPS Engineer

MLOPS Engineer

Accord Technologies Inc.

Chicago, IL • On-site

Contractor

Posted 25 days ago

Job description

Title: MLOPS Engineer
Location: Chicago, IL
Duration: 12+ months
Position type: W2 contract
 
 
Required Skills for the MLOps Engineer:
- Bachelor's plus 9+ years of experience, Master's plus 6+ years of experience
- Experience working with an object-oriented programming language (Python, Golang, Java, C/C++ etc.)
- Experience with MLOps frameworks like MLflow, Kubeflow, etc
- Proficiency in programming (Python, R, SQL)
- Ability to design and implement cloud solutions and build MLOps pipelines on cloud solutions (e.g., AWS)
- Strong understanding of DevOps principles and practices, CI/CD, etc. and tools (Git, GitHub, jFrog Artifactory, Azure DevOps, etc.)
- Experience with containerization technologies like Docker and Kubernetes
- Strong communication and collaboration skills
- Ability to help work with a team to create User Stories and Tasks out of higher-level requirements
 
Preferred Skills:
- Ability to create model inference systems with advanced deployment methods that integrate with other MLOps components like MLFlow
- Knowledge of inference systems like Seldon, Kubeflow, etc
- Knowledge of deploying applications and systems in Langfuse or Kubernetes using Helm and Helmfile
- Knowledge of infrastructure orchestration using CloudFormation or Terraform
- Exposure to observability tools (such as Evidently AI)
 
MLOps Engineer Overview:
The MLOps Platform Team works within the Enterprise Data and Analytics Organization driving the ability to work with Internal Teams to be able to support the full life-cycle of AI and machine learning development through to beyond production. Helping build a platform that enables data driven decisions across the enterprise, helping teams build high-value data and AI/ML products, and enable the operationalization and reliability of all models. We are searching for a driven and highly skilled MLOps Engineer to join our MLOps Platform team at ServiceNow. The role will build the MLOps Platform, build self-service ML Development tooling, and building platform adoption.
 
Responsibilities:
- Define scalable and secure architectures, frameworks and pipelines for building, deploying and diagnosing production ML applications
- Enable users & teams on the ML platform; troubleshoot and debug user issues; maintain user-friendly documentation and training
- Collaborate with internal stakeholders to build a comprehensive MLOps Platform
- Design and implement cloud solutions and build MLOps pipelines on cloud solutions (e.g., AWS)
- Develop standards and examples to accelerate the productivity of data science teams
- Run code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality, including data & concept drift
- Create way to automate the testing, validation, and deployment of data science models
- Provide best practices and execute POC for automated and efficient MLOps at scale
 
Education Requirements:
- Bachelor's degree or Master's degree