1

Temporary Machine Learning R Jobs (NOW HIRING)

Machine Learning Engineer

Minneapolis, MN · On-site

$130 - $170/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Proficient in programming languages such as Python and R * Familiarity with big data technologies such as Apache Spark * Experience with Machine Learning frameworks such as TensorFlow or PyTorch

Proficiency in programming languages such as Python and R * Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience implementing Agent or Context engineering is ...

Machine Learning Compiler

New York, NY · On-site

$140K - $211K/yr

... machine learning (e.g., Python, R, C, C++) • 1+ year of experience using statistics and probability (e.g., conditional probability, Bayes rule). • 1+ year of experience working in a large ...

D. in Computer Science, Data Science, or a related field • Strong programming skills in Python or R • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) • Knowledge of ...

Machine Learning Engineer

$128K - $214K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Train and embed machine learning models into applications using programming languages (Python, Java, R) and core libraries (TensorFlow, Keras, Scikit-learn). * Explore and visualize data to uncover ...

... R • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) • Excellent communication skills • Ability to work in a team • Outstanding ...

Hands on expertise in Machine Learning models using R/Python, SQL, well versed in statistical methodology including deep expertise and experience with statistical data analysi * Requires a ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... Python, R, or Java Experience with ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn ...

Machine Learning Engineer

Ashburn, VA · On-site

$110 - $170/hr

Proficiency in Python, R, Java, or similar programming languages used for machine learning and analytics development. * Experience with machine learning libraries and frameworks such as TensorFlow ...

Ability to write robust code in Python, Java, and R * Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) * Excellent communication skills * Ability ...

Ability to write robust code in Python, Java, and R * Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) * Excellent communication skills * Ability ...

As a Performance Assurance Machine Learning Engineer, you will work under the coaching of Senior ... You will utilize skills to query databases to extract data, use skills in Python or R to analyze ...

Proficiency in Python, R, Java, or similar programming languages used for machine learning and analytics development. * Experience with machine learning libraries and frameworks such as TensorFlow ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... R, or Java • Experience with ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn) • ...

Machine Learning Engineer

Austin, TX · On-site

$100 - $130/hr

  • Medical

Machine Learning Engineer page is loaded## Machine Learning Engineerlocations: Austin, TXtime type ... R, or Java • Experience with ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn) • ...

Showing results 21-40

Temporary Machine Learning R information

See salary details

$25.5K

$42.6K

$88K

How much do temporary machine learning r jobs pay per year?

As of Aug 16, 2026, the average yearly pay for temporary machine learning r in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Machine Learning R vs Data Analyst?

AspectTemporary Machine Learning RData Analyst
Required SkillsProficiency in R, machine learning algorithms, statistical modelingData visualization, SQL, basic statistical analysis
Work EnvironmentProject-based, technical teams, research-focusedBusiness units, reporting, data cleaning
CertificationsR programming, data science certificationsNone specific, often business or analytics certifications

Temporary Machine Learning R roles focus on developing predictive models using R and machine learning techniques, often in research or technical environments. Data Analysts typically handle data cleaning, visualization, and reporting for business insights. While both roles require analytical skills, Temporary Machine Learning R positions demand specialized knowledge in machine learning and R programming, making them more technical and research-oriented.

More about Temporary Machine Learning R jobs

What cities are hiring for Temporary Machine Learning R jobs?

Cities with the most Temporary Machine Learning R job openings:

What are the most commonly searched types of Machine Learning R jobs?

The most popular types of Machine Learning R jobs are:

What states have the most Temporary Machine Learning R jobs?

States with the most job openings for Temporary Machine Learning R jobs include:

Infographic showing various Temporary Machine Learning R job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning Engineer

Solution Design Group

Minneapolis, MN • On-site

$130 - $170/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago


Job description

SDG is a high-performance software community. We are a team of collaborative and creative consultants who build and deliver custom software for some of the most recognizable local and national brands. In this role, you will be asked to leverage your current skills while also learning new ones. Working in over 500 different technologies and continually learning together, you can expect a one-of-a-kind and award-winning work experience. Our team at SDG has exceptional integrity and the desire to create the best possible customer solutions. We are proud to partner with our customers to consistently provide a successful working relationship as a high-performance team.

We are adding a Machine Learning Engineer to our team! This person will play a key role in designing, implementing, and deploying machine learning models to solve complex problems and enhance our customer’s products and services. You will be a part of a tight-knit technical community, giving you the opportunity to constantly grow your development among top technical talent. You will work closely with a cross-functional team of data scientists, software engineers, and domain experts to drive the development and deployment of machine learning solutions. SDG is looking for a hard worker with a team-oriented mindset, that has at least 3 years of experience and an in-depth understanding of machine learning and cloud data tools. A successful Machine Learning Engineer at SDG is a lifelong learner who is motivated to continually improve their craft and thrives amongst their fellow employee-owners.

SDG’s Machine Learning Engineer’s have proven experience with the following responsibilities. If you do too, we want to hear from you:
  • Design, implement, and optimize machine learning algorithms and models to address specific business challenges.
  • Collaborate with data engineers to preprocess and transform raw data into a format suitable for machine learning models. Conduct feature engineering to extract relevant information for model training.
  • Train, validate, and fine-tune machine learning models using state-of-the-art techniques. Evaluate model performance and iterate on models to improve accuracy and efficiency.
  • Deploy machine learning models into production environments and integrate them into existing systems. Collaborate with software engineers to ensure seamless integration with our products.
  • Stay abreast of the latest developments in machine learning and related fields. Proactively identify opportunities to enhance existing models and propose new approaches to solve business problems.
Requirements:
  • 3+ years of hands-on, professional machine learning development experience, delivering solutions in a large scale enterprise environment
  • Experience with Public Cloud Providers such as AWS and Microsoft Azure
  • Experience with AWS and/or Azure data tools and services
  • Demonstrated experience using AI-assisted development tools (e.g., Claude Code, Codex, GitHub Copilot) to increase development velocity, improve code quality, and support complex problem-solving
  • Strong understanding of data processing, data engineering, and data visualization.
  • Experience with SQL and NoSQL databases
  • Proficient in programming languages such as Python and R
  • Familiarity with big data technologies such as Apache Spark
  • Experience with Machine Learning frameworks such as TensorFlow or PyTorch
  • Ability to work effectively in a collaborative, cross-functional team environment. Excellent communication skills and the ability to explain complex concepts to both technical and non-technical stakeholders.
  • Strong analytical and problem-solving skills. Proven ability to tackle complex problems and deliver robust machine learning solutions.
  • Prior consulting or professional services experience is a bonus
  • Education degree or certification in Computer Science, or the equivalent related work experience
What's in it for you?
  • Full-time salaried consultant position
  • A true stake in success. SDG is an ESOP - 100% employee owned
  • Star Tribune Top Workplace winner the last 7 consecutive years
  • National Top Workplace in 2023, 2024 & 2025
  • Engaged teammates who care about quality solutions
  • Challenging and rewarding work with great customers
  • Various opportunities to give back to the community
  • Be amongst some of the best technologists in the industry
  • Dedicated to our core values of superior customer service, exceptional employee experience, and responsible corporate citizenship
  • Opportunities to connect with other SDGer’s via internal communities, committees, and events – virtually and in person

SDG is proud to offer an array of benefits for our employees including but not limited to medical, dental, and vision insurance benefits, paid time off, paid holidays, short and long-term disability, life insurance options, a monthly technology reimbursement allowance, 401k, birth and non-birth parent leave, ESOP, trainings and certifications, and company-owned cabins. Fair and equitable compensation is important to us. The salary range for this opportunity is $130,000 - $170,000. The offer may fall outside this range given factors such as skills and experience. The salary range is subject to change and may be modified at any time.

Applicants must be authorized to work for ANY employer in the United States. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

#J-18808-Ljbffr