2

Remote Machine Learning Finance Jobs in Madison, TN

Senior Data Engineer

Franklin, TN ยท 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 ยท 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 ยท 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 ...

Business Analytics Tutor

Nashville, TN ยท Remote

$18 - $40/hr

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 15, 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:

AI Data Engineer - Remote / Telecommute

CYNET SYSTEMS

Nashville, TN โ€ข Remote

$55/hr

Contractor

Re-posted 23 hours ago


Job description

Job Overview:

Requirement/Must Have:

  • 1+ years of experience in Python, SQL, and PySpark.
  • Experience in ETL/ELT development.
  • Knowledge of Data Modeling (Star Schema, Snowflake Schema).
  • Familiarity with Apache Spark and Databricks.
  • Experience with Airflow, Dataflow, Informatica, ADF, Synapse, or equivalent tools.
  • Understanding of Relational & NoSQL Databases.
  • Knowledge of Data Warehousing concepts.
  • Experience with REST APIs and Microservices.
  • Familiarity with Git, CI/CD, and DevOps practices.

Responsibilities:

  • Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
  • Build and optimize data lakes, data warehouses, and AI-ready data platforms.
  • Develop ingestion, transformation, and orchestration frameworks using cloud-native technologies.
  • Prepare, cleanse, and engineer datasets for AI/ML and Generative AI workloads.
  • Integrate Large Language Models (LLMs), vector databases, embeddings, and RAG (Retrieval-Augmented Generation) pipelines into enterprise solutions.
  • Implement data governance, security, lineage, and quality controls.
  • Collaborate with Data Scientists, AI Engineers, Business Analysts, and Solution Architects.
  • Monitor, troubleshoot, and optimize data pipelines and platform performance.
  • Automate deployment, testing, and monitoring of data engineering workflows.
  • Create technical documentation and data dictionaries for enterprise data assets.

Skills:

  • Machine Learning fundamentals.
  • Data preparation for AI models.
  • Vector Databases (Pinecone, ChromaDB, FAISS).
  • LLM Integration (OpenAI, Azure OpenAI, Gemini, Claude, etc.).
  • RAG Architecture.
  • Embeddings and Semantic Search.
  • Prompt Engineering fundamentals.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.

Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media