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Scientific Machine Learning Jobs in Tennessee (NOW HIRING)

Varsity Tutors

Machine Learning Tutor

Memphis, TN · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Knoxville, TN · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Nashville, TN · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Murfreesboro, TN · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Kingsport, TN · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Chattanooga, TN · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Crowe LLP

Machine Learning Intern

Nashville, TN · On-site

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will ...

Crowe LLP

Machine Learning Intern

Nashville, TN · On-site

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will ...

Crowe LLP

Machine Learning Intern

Knoxville, TN · On-site

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will ...

Crowe LLP

Machine Learning Intern

Knoxville, TN

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will ...

Revecore

Senior Machine Learning Engineer

Franklin, TN · Remote

$118K - $155K/yr

Scientific thinking isa must. Experience working in a similar role, with a focus on machine learning or data science. Experience developing and deploying machine learning models in a production ...

TheIncLab

Senior Machine Learning Engineer

Nashville, TN · On-site

$100K - $138K/yr

Bachelor's degree in Computer Science, Engineering, Applied Mathematics, or a related field * 7+ years of professional experience, including significant hands-on machine learning development * Strong ...

TheIncLab

Senior Machine Learning Engineer

Nashville, TN

$100K - $138K/yr

Bachelor's degree in Computer Science, Engineering, Applied Mathematics, or a related field * 7+ years of professional experience, including significant hands-on machine learning development * Strong ...

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All JobsScientific Machine Learning JobsScientific Machine Learning Jobs in Tennessee

Scientific Machine Learning information

What is scientific machine learning?

Scientific machine learning (SciML) is an interdisciplinary field that combines principles from machine learning and scientific computing to solve complex scientific and engineering problems. It involves developing algorithms and models that can learn from data and physical laws, such as differential equations, to make predictions, optimize systems, or gain insights into phenomena. SciML is widely used in areas like physics, biology, climate science, and engineering, enabling researchers to accelerate simulations and make data-driven discoveries. The field often leverages both traditional numerical methods and modern machine learning techniques, making it a rapidly evolving area of research.

What are the key skills and qualifications needed to thrive as a scientific machine learning professional, and why are they important?

To thrive as a Scientific Machine Learning professional, you need a strong background in mathematics, statistics, programming (often Python), and domain-specific scientific knowledge, typically with a graduate degree in a STEM field. Proficiency in machine learning frameworks (such as TensorFlow or PyTorch), scientific computing tools (like NumPy, SciPy), and experience with high-performance computing are commonly required. Critical thinking, problem-solving, and collaborative communication are vital soft skills for designing experiments and interpreting complex data. These skills ensure robust, reproducible results and the ability to bridge scientific inquiry with advanced computational methods.

What are some common challenges faced by professionals in scientific machine learning, and how can they be addressed?

Professionals in Scientific Machine Learning often encounter challenges such as integrating domain-specific scientific knowledge with machine learning models, managing large and complex datasets, and ensuring that models are interpretable and physically consistent. Collaboration with domain experts and interdisciplinary teams is essential to bridge knowledge gaps and validate results. To address these challenges, it is helpful to invest time in understanding the underlying scientific principles, keep up-to-date with advancements in both machine learning and scientific fields, and utilize specialized tools and frameworks designed for scientific data.

What is the difference between Scientific Machine Learning vs Data Scientist?

AspectScientific Machine LearningData Scientist
Required credentialsAdvanced degrees in CS, ML, or related fields; knowledge of scientific computingDegree in CS, statistics, or related fields; strong analytical skills
Work environmentResearch labs, academia, industry R&D teamsBusiness analytics, tech companies, consulting firms
Industry usageResearch, scientific computing, engineering simulationsBusiness insights, predictive modeling, data analysis

Scientific Machine Learning focuses on integrating scientific knowledge with machine learning techniques for research and engineering applications. Data Scientists analyze data to extract insights and build predictive models for business or operational purposes. While both roles require strong technical skills, Scientific Machine Learning emphasizes scientific computing and domain-specific modeling, whereas Data Scientists focus on data analysis and visualization.

What are popular job titles related to Scientific Machine Learning jobs in Tennessee?

For Scientific Machine Learning jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Scientific Machine Learning jobs in Tennessee look for?

The top searched job categories for Scientific Machine Learning jobs in Tennessee are:

What cities in Tennessee are hiring for Scientific Machine Learning jobs?

Cities in Tennessee with the most Scientific Machine Learning job openings:

Scientific Machine Learning jobs near you
Infographic showing various Scientific Machine Learning job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Data Scientist (Applied Machine Learning)

FOCUSPOINT

Brentwood, TN • On-site

$35 - $53/hr

Contractor

Medical, Dental, Vision, Life

Re-posted 5 days ago

Job description

Job Title: Data Scientist (Applied Machine Learning)
Location: Varies by client
Employment Type: Contract, Contract To Hire and Full Time
Pay: Commensurate with experience

Job Overview:
FOCUSPOINT is seeking experienced Data Scientists for our client base.

Our clients, leading innovators, are seeking a highly skilled Data Scientists with a focuses on Applied Machine Learning to join their dynamic teams. These is a high-impact roles where you'll translate complex data into actionable insights, build scalable ML models, and directly influence product development and strategic decision-making.

As a staffing partner, we’re looking for candidates who thrive in fast-paced environments, bring deep technical expertise, and are passionate about solving real-world problems with machine learning.

We’re actively sourcing candidates who combine strong analytical rigor with practical problem-solving and communication skills. If you enjoy turning patterns into strategy and are ready to leverage your data expertise to drive real-world outcomes, we want to hear from you.

Core Responsibilities:

  • Design, develop, and deploy machine learning models for production use
  • Collaborate with cross-functional teams (engineering, product, analytics) to identify opportunities for ML-driven solutions
  • Conduct exploratory data analysis and feature engineering on structured and unstructured datasets
  • Optimize model performance and scalability using best practices in ML engineering
  • Communicate findings and model outcomes to technical and non-technical stakeholders
  • Stay current with advancements in ML algorithms, frameworks, and tools

Required Skills and Experience:

  • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or related field (PhD preferred for research-heavy roles)
  • 3+ years of experience in applied machine learning or data science roles
  • Proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
  • Strong understanding of supervised and unsupervised learning, deep learning, and model evaluation techniques
  • Experience with cloud platforms (AWS, Azure, GCP) and data pipeline tools
  • Excellent communication and problem-solving skills

Preferred Skills

  • Experience with NLP, computer vision, or time-series modeling
  • Familiarity with MLOps tools and CI/CD workflows
  • Background in deploying models in real-time systems or edge environments
  • Contributions to open-source ML projects or publications in peer-reviewed journals

Benefits:

  • Dental insurance
  • Health insurance
  • Vision insurance
  • Health savings account
  • Life insurance
  • Disability insurance

Why Work With Us

As a trusted staffing partner, we offer:

  • Direct access to top-tier companies and cutting-edge projects
  • Personalized career guidance and interview coaching
  • Competitive compensation packages and benefits
  • Opportunities for long-term placement and career growth

About FOCUSPOINT:
FOCUSPOINT specializes in connecting top-tier professionals with exceptional opportunities in accounting, technology, healthcare, and leadership. We prioritize building meaningful connections, ensuring candidates find roles that align with their skills, goals, and passions.