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Python Ml Developer Jobs in Tennessee (NOW HIRING)

Bespoke Labs

Machine Learning Engineer

Memphis, TN

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Intellivo

Senior Data Engineer

Memphis, TN · On-site

$103K - $140K/yr

... ML scoring models and embedded analytics reporting. • Maintain Feature Store pipelines that ... Python, with advanced SQL experience and data quality validation logic. • Experience with ...

Inovalon

Senior Machine Learning Engineer

Nashville, TN · On-site

$118K - $156K/yr

Develop and integrate Python-based ML components that work seamlessly with existing product ... Mentor junior engineers and contribute to team knowledge-sharing around ML best practices, tooling ...

Elevance Health

Gen AI Engineer

Nashville, TN · Hybrid

Gen AI Engineer Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days ... ML, NLP, and computer vision solutions. * Demonstrated 4+ years hands-on experience with Python ...

Elevance Health

Gen AI Engineer

Nashville, TN · Hybrid

Gen AI Engineer Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days ... ML, NLP, and computer vision solutions. * Demonstrated 4+ years hands-on experience with Python ...

Elevance Health

Gen AI Engineer

Nashville, TN · Hybrid

Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days per week ... ML, NLP, and computer vision solutions. * Demonstrated 4+ years hands-on experience with Python ...

Elevance Health

Gen AI Engineer

Nashville, TN · Hybrid

Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days per week ... ML, NLP, and computer vision solutions. * Demonstrated 4+ years hands-on experience with Python ...

Softcom, Inc.

Mainframe Developer with AI Experience

Memphis, TN · On-site

$43.75 - $56.25/hr

Exposure to AI/ML concepts, Generative AI, or AI-assisted development tools. * Experience using AI ... Knowledge of Java, Python, or other modern application development technologies is a plus. Security ...

Spectra Tech, Inc.

I&C Engineer

Oak Ridge, TN

$72K - $93K/yr

Oversee engineering automation via Python, MATLAB, or advanced Excel; review and validate automated outputs. * Champion responsible integration of AI/ML into controls systems, including predictive ...

FOCUSPOINT

AI Engineer

Nashville, TN · On-site

AI Engineer Location: Varies by client Employment Type: Contract Pay: Commensurate with experience ... AI/ML development, with hands-on work deploying models in production * Proficiency in Python ...

TheIncLab

Senior Machine Learning Engineer

Nashville, TN · On-site

$100K - $138K/yr

Experience building and maintaining end-to-end ML pipelines * Strong programming skills in Python (additional languages are a plus) * Experience working with real-world, imperfect datasets * Ability ...

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Python Ml Developer information

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What are the key skills and qualifications needed to thrive as a Python ML Developer, and why are they important?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What are popular job titles related to Python Ml Developer jobs in Tennessee? For Python Ml Developer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Tennessee look for? The top searched job categories for Python Ml Developer jobs in Tennessee are:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Tennessee as of June 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.

Machine Learning Engineer

Bespoke Labs

Murfreesboro, TN

Full-time

Posted 3 days ago

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of ML engineering experience — model training, fine-tuning, or post-training pipelines in research or production

Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination

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