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Machine Learning Engineer Jobs in Memphis, TN (NOW HIRING)

Prophecy Technologies

Senior Data Engineer

Memphis, TN · On-site

$103K - $139K/yr

We are seeking an experienced Senior Data Engineer with strong expertise in Azure Databricks, Spark ... Develop and deploy machine learning models and predictive analytics solutions to support healthcare ...

FedEx

Cloud Engineering Advisor

Memphis, TN · On-site

$49.75 - $66.50/hr

Summary As a Platform Engineer you will be responsible for the development, integration and ... Machine Learning & Deep Learning: Deep expertise in ML algorithms and modern deep learning ...

FedEx Group

AI Engineer III

Memphis, TN · On-site

$125 - $150/hr

Summary The AI Engineer is responsible for designing, developing, deploying, and maintaining artificial intelligence and machine learning solutions that support intelligent automation, predictive ...

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Showing results 21-40

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Memphis, TN

Machine Learning Engineer information

See Memphis, TN salary details

$28.1K

$114.9K

$172.7K

How much do machine learning engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for machine learning engineer in Memphis, TN is $114,933.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,600.00 and $138,300.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs

What are the most commonly searched types of Machine Learning Engineer jobs in Memphis, TN?

The most popular types of Machine Learning Engineer jobs in Memphis, TN are:

What are popular job titles related to Machine Learning Engineer jobs in Memphis, TN?

For Machine Learning Engineer jobs in Memphis, TN, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer jobs in Memphis, TN look for?

The top searched job categories for Machine Learning Engineer jobs in Memphis, TN are:

What cities near Memphis, TN are hiring for Machine Learning Engineer jobs?

Cities near Memphis, TN with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Memphis, TN as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 22% Part Time, 2% Contract, and 1% Nights. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $114,933 per year, or $55.3 per hour.

Senior Data Engineer

Memphis, TN • On-site

Prophecy Technologies
Professional, Scientific, and Technical Services • 11 - 50 employees
Learn more about Prophecy Technologiesexternal

$103K - $139K/yr

Full-time

Re-posted 21 days ago

Job description


We are seeking an experienced Senior Data Engineer with strong expertise in Azure Databricks, Spark, and Azure data services to design and deliver scalable, cloud-based data solutions for healthcare analytics.
The ideal candidate will have hands-on experience in building modern data platforms, implementing CI/CD pipelines, and enabling advanced analytics and machine learning initiatives while ensuring data security and regulatory compliance.
Responsibilities
  • Design, develop, and maintain scalable, secure, and high-performance ETL/ELT pipelines using Azure Databricks, PySpark, Synapse Analytics,
  • Work with structured and unstructured data from various healthcare sources (EHR, claims data, etc.).
  • Implement and optimize data storage solutions using Azure technologies such as Databricks, Azure Data Lake, Azure SQL, Synapse Analytics.
  • Develop and deploy machine learning models and predictive analytics solutions to support healthcare analytics.
  • Ensure data quality, integrity, and security in compliance with HIPAA and other healthcare regulations.
  • Collaborate with data scientists, analysts, and software engineers to deliver high-performance data solutions.
  • Automate data workflows using cicd, and other cloud tools.
  • Monitor and troubleshoot data pipelines to ensure optimal performance and reliability.
  • Participate in technical design reviews and contribute to data platform architecture decisions.
  • Promote data engineering best practices across the organization.

Required Skills & Qualifications:
  • 8+ years of experience as a Data Engineer with a focus on Azure cloud services.
  • Strong understanding of Delta Lake, Lakehouse Architecture, and data warehousing concepts.
  • Strong expertise in SQL, Python, Spark, and Databricks.
  • Azure/Databricks certifications such as Microsoft Certified: Azure Data Engineer Associate.
  • Hands-on experience with Azure Data Factory, Azure Synapse, Azure Data Lake, and Power BI.
  • Knowledge of machine learning models and data science techniques in a healthcare setting.
  • Experience working with FHIR, HL7, and other healthcare data standards.
  • Familiarity with DevOps and CI/CD pipelines for data workflows.
  • Strong problem-solving skills and ability to work in an agile environment.

Apply