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R Programming Language Jobs in Chicago, IL (NOW HIRING)

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 · 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 ...

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 JobsR Programming Language JobsR Programming Language Jobs in Chicago, IL

R Programming Language information

See Chicago, IL salary details

$82.4K

$127.7K

$155.6K

How much do r programming language jobs pay per year?

As of Jul 11, 2026, the average yearly pay for 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 are the most common challenges faced by R Programmers in a typical work environment?

R Programmers often encounter large and complex datasets that require efficient data cleaning and transformation techniques to ensure accuracy in analyses. Another common challenge is optimizing R code for performance, especially when working with big data or integrating R with other programming languages or systems. Additionally, clear communication of technical findings to non-technical stakeholders can be demanding but is essential for business impact. Being adaptable and willing to continuously learn new packages and tools helps overcome these challenges and adds significant value to the team.

What is an R Programming Language job?

An R Programming Language job involves using R, a statistical computing and graphics programming language, to analyze data, build statistical models, and create visualizations. Professionals in these roles often work in data science, machine learning, finance, healthcare, and academic research. Responsibilities may include writing R scripts, cleaning and processing data, creating reports, and implementing predictive models. Many R developers also integrate R with other tools like SQL, Python, or cloud platforms for data-driven decision-making.

What are the key skills and qualifications needed to thrive in the R Programming Language position, and why are they important?

Excelling in an R Programmer role requires strong proficiency in R programming, data analysis, and statistical modeling, usually supported by a degree in statistics, data science, computer science, or a related field. Familiarity with data visualization tools (such as ggplot2 or Shiny), version control systems (like Git), and relevant certifications such as the Data Science Council of America (DASCA) or equivalent are often valuable. Strong problem-solving abilities, clear communication, and collaboration skills help R Programmers effectively translate data insights to non-technical stakeholders and work efficiently within project teams. These competencies are crucial for delivering accurate, actionable analyses in various industries including finance, healthcare, and research.

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 R Programming Language jobs in Chicago, IL? For R Programming Language jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching R Programming Language jobs in Chicago, IL look for? The top searched job categories for R Programming Language jobs in Chicago, IL are:
R Programming Language jobs near you
Infographic showing various R Programming Language job openings in Chicago, IL as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote 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

Re-posted 8 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