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Remote Machine Learning Finance Jobs in Madison, TN

Senior Data Engineer

Franklin, TN · Remote

$102K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote-USA Revecore is embarking on re-architecting and modernizing its core platform. The Data ... This team is composed of Data Engineering, Analytics Engineering, Data Science and Machine Learning ...

Director, AI Engineering - Remote

Brentwood, TN · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... machine learning. * Architect healthcare-specific AI solutions with expertise in health data ... financial performance. For individuals living in Washington or Colorado: Premise offers the ...

Senior DevOps Engineer (US REMOTE)

Brentwood, TN · Remote

$140K - $170K/yr

  • Medical

  • Dental

  • Retirement

Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ... Candidate can live anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years ...

This position is remote, but you MUST be located in our business footprint, which includes the ... Knowledge of artificial intelligence and machine learning. * Understanding of workflow-based logic.

This position is remote, but you MUST be located in our business footprint, which includes the ... Knowledge of artificial intelligence and machine learning. * Understanding of workflow-based logic.

Ability to explain statistical modeling techniques, machine learning basics, and business ... finance, and supply chain applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Showing results 21-40

Remote Machine Learning Finance information

See Madison, TN salary details

$23.1K

$85.7K

$125.4K

How much do remote machine learning finance jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote machine learning finance in Madison, TN is $85,748.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,400.00 and $100,900.00 per year, depending on experience, location, and employer.

How do remote machine learning finance professionals typically collaborate with cross-functional teams?

Remote machine learning professionals in finance often work closely with data analysts, financial experts, and software engineers to develop and deploy predictive models. Collaboration is typically facilitated through virtual meetings, shared documentation, and project management tools. Clear communication and regular check-ins are crucial for aligning goals and ensuring that machine learning solutions address real business needs. Many organizations also encourage participation in virtual workshops and code reviews to maintain a strong sense of teamwork despite the remote setting.

What are the key skills and qualifications needed to thrive as a remote machine learning finance professional?

To excel in Remote Machine Learning Finance, strong analytical skills, a solid background in statistics or mathematics, and experience with financial data are essential, often supported by a degree in computer science, finance, or a related field. Familiarity with programming languages like Python or R, experience with machine learning frameworks (such as TensorFlow or Scikit-learn), and knowledge of financial modeling tools are typically required. Excellent problem-solving, communication, and the ability to work independently are standout soft skills in this remote environment. These abilities are crucial for developing effective financial models, interpreting complex data, and collaborating with distributed teams to drive business value.

What is a remote machine learning finance professional?

A Remote Machine Learning Finance job involves applying machine learning techniques and algorithms to financial data and problems, often from a remote location. Professionals in this field develop models to predict market trends, assess risks, automate trading, or detect fraud using large datasets. Remote roles allow employees to work from anywhere, collaborating with teams virtually and using cloud-based tools to analyze data. These positions typically require strong programming skills, knowledge of finance, and experience with machine learning frameworks.

What job categories do people searching Remote Machine Learning Finance jobs in Madison, TN look for?

The top searched job categories for Remote Machine Learning Finance jobs in Madison, TN are:

Senior Data Engineer

Revecore

Franklin, TN • Remote

$102K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


Revecore rating

8.1

Company rating: 8.1 out of 10

Based on 22 frontline employees who took The Breakroom Quiz


Job description

Start your next chapter atRevecore! For over 25 years,Revecorehas been at the forefront of specialized claims management, helping healthcare providers recover meaningful revenue to enhance quality patient care in their communities.We'repowered by people, driven by technology, and dedicated to our clients and employees. Ifyou'relooking for a collaborative and diverse culture witha great work/life balance, look no further.

RevecorePerks:

  • We offer paid training and incentive plans
  • Our medical, dental, vision, and life insurance benefits are available from the first day of employment
  • We enjoy excellent work/life balance
  • Our Employee Resource Groups build community and foster a culture of belonging and inclusion
  • We match 401(k) contributions
  • We offer career growth opportunities
  • We celebrate 12 paid holidays and generous paid time off

Location:Remote-USA

Revecore is embarking on re-architecting and modernizing its core platform. The Data Technology at Revecore is empowering the business in unlocking new opportunities by integrating data and machine learning across our products and business functions. This team is composed of Data Engineering, Analytics Engineering, Data Science and Machine Learning (ML) Engineering specializations.

The Senior Data Engineer will join the Technology function, solving complex data problems for the Revecore Data Platform. The ideal candidate is capable of contributing to platform, architecture, and automation best practices, while also diving deep into specific areas and finding the best path forward. You are expected to pave the path for the data teams around data ingestion, data pipelines and data operations. You will be responsible for building a modern data lakehouse platform that will transform Revecore and its capabilities.

What You'll Do

  • Accountable for the implementation and quality of the data platforms (availability, reliability, resilience, security, etc.) and adherence to consistent standards for engineering excellence.
  • Improve the quality of the engineering practice, and the quality of the domain's output.
  • Design and develop scalable, maintainable, and reliable data pipelines.
  • Work directly with other Data Engineers to understand their needs and develop tooling and automation to improve developer efficiency.
  • Monitor data systems and performance and look for ways to drive down our warehouse and infrastructure costs.
  • Proactively research and understand industry trends on various components of the data platform.

Technical Requirements

  • Strong experience with Azure Cloud services is required, including hands-on work with Azure Synapse, Azure Data Lake Storage Gen2, Azure DevOps Pipelines, and Power BI.
  • Proven ability to design and build scalable ELT pipelines, data lakes, and data warehouse solutions using modern tools such as Snowflake, dbt, and Airflow.
  • Deep expertise in Python and SQL is required.
  • Strong proficiency in C#, with experience maintaining and enhancing complex, homegrown codebases used for data orchestration, transformation, file movement, and delivery. Familiarity with .NET Framework and .NET Core is essential.
  • Ability to bridge legacy systems with modern cloud-native architectures, contributing to platform modernization efforts.
  • Experience with Infrastructure as Code (e.g., Terraform, CloudFormation) and CI/CD best practices for data platforms.
  • Solid understanding of the data software development lifecycle (SDLC) and deployment automation workflows.
  • Bachelor's or Master's degree in computer science or equivalent experience.

Work at Home Requirements:

  • A quiet, distraction-free environment to workfrom inyour home.
  • A secure internet connection isrequired.
  • Home internet with speeds >20 Mbps for downloads and >10 Mbps for uploads.
  • The workspace area accommodates all workstation equipment and related materials and provides adequate surface area to be productive.

Revecoreis an equal opportunity employer that does not discriminate based on race, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin, age, disability status, veteran status, genetic information, or any other legally protected status.
We believe that a diverse workforce fosters innovation and creativity, enriches our culture, and enables us to better serve the needs of our clients and communities. We welcome and encourage individuals of all backgrounds, perspectives, and abilities to apply.

Mustresidein the United Stateswithin one of the states listed below:

Alabama, Arkansas, Delaware, Florida, Georgia, Iowa, Illinois, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Maine, Maryland, Michigan, Minnesota, Missouri, Mississippi, Montana, North Carolina, Nebraska, New Hampshire, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Virginia, Wisconsin, and West Virginia


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