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Remote Machine Learning Engineer Jobs in Huntsville, AL

Pae

Data Architect IRES - HSV

Redstone Arsenal, AL · On-site +1

$65 - $83.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

None available at this time Remote/Telework: NO Clearance Type: DoD Secret Shift: Day shift Travel ... Must have an understanding of Machine Learning (ML), Natural Language Processing (NLP), and ...

Varsity Tutors

Linear Algebra Tutor

Huntsville, AL · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Summit 7 Systems

Cloud Engineer

AL · On-site +1

$70K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Huntsville, AL / Remote SOC Code: 15-1243 Salary*: $70000 - $110,000 *Dependent upon qualifications ... Constantly operates a computer and other office productivity machinery, such as a calculator, copy ...

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All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Huntsville, AL

Remote Machine Learning Engineer information

See Huntsville, AL salary details

$31K

$126.9K

$190.7K

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

As of Aug 14, 2026, the average yearly pay for remote machine learning engineer in Huntsville, AL is $126,879.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $152,700.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

What are the most commonly searched types of Machine Learning Engineer jobs in Huntsville, AL?

The most popular types of Machine Learning Engineer jobs in Huntsville, AL are:

What are popular job titles related to Remote Machine Learning Engineer jobs in Huntsville, AL?

For Remote Machine Learning Engineer jobs in Huntsville, AL, the most frequently searched job titles are:

What cities near Huntsville, AL are hiring for Remote Machine Learning Engineer jobs?

Cities near Huntsville, AL with the most Remote Machine Learning Engineer job openings:

Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in Huntsville, AL as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $126,879 per year, or $61 per hour.

Senior Data Visualization Developer

Essnova Solutions, Inc.

Huntsville, AL • On-site, Remote

Full-time

Re-posted 18 days ago

Job description

Essnova Solutions, Inc. is an award-winning SBA 8(a) and HUBZone-certified small business delivering advanced technology and professional services to federal, state, local, and commercial clients. Our expertise spans geospatial, healthcare, and environmental solutions, and we are committed to supporting agencies with high-impact, compliance-driven projects.
We are seeking a Senior Data Visualization Developer to serve as the technical lead for the National Center for Health Statistics (NCHS) visualization and solutions development. This role is pivotal in driving the end-to-end lifecycle of data visualization products, ensuring accuracy, accessibility, and compliance with federal standards. You will architect reusable visualization components, bridge communication between statisticians and developers, and uphold rigorous data validation and accessibility requirements.
Key responsibilities include:
  • Lead the technical execution of NCHS visualization and solutions development tasks, overseeing the full development lifecycle from requirements gathering to deployment and documentation.
  • Make strategic decisions on visualization tool selection (e.g., Tableau, Power BI, R/Shiny, Python/Dash, D3.js) and architect/build/maintain a reusable component library for NCHS.
  • Develop and maintain automated data validation scripts to ensure compliance with statistical accuracy and suppression logic.
  • Translate requirements between statisticians and developers by producing implementable specifications, including data models, query patterns, suppression logic rules, and annotated wireframes.
  • Conduct and oversee Section 508/WCAG accessibility testing using automated and manual screen reader tools in coordination with project management methodology.
  • Provide technical guidance on data architecture, technology risk assessment, and enterprise architecture artifacts, including process and data-flow diagrams.
  • Support Adobe Analytics administration and reporting as needed.
  • Collaborate closely with Data Engineers and PMs to ensure compliance with federal statistical agency standards and protected data requirements.

Requirements
Required Qualifications:
  • Bachelor's degree in Computer Science, Data Science, Statistics, Information Systems, or a related field
  • 7+ years of data visualization development experience in federal agencies or compliance-driven environments
  • Advanced proficiency in at least three of the following: Tableau, Power BI, R (ggplot2/Shiny/R Markdown), Python (plotly/Dash/pandas/matplotlib), D3.js, with working proficiency in the remaining tools
  • Experience serving as technical lead for end-to-end data visualization development, including requirements, preprocessing, design, build, review, accessibility testing, deployment, and documentation
  • Experience presenting statistical data, including confidence intervals, weighted estimates, and suppression rules
  • Experience conducting Section 508 / WCAG 2.0 Level AA accessibility testing using automated tools (axe or WAVE) and manual screen reader testing (JAWS or NVDA)
  • Proficiency with Git for code reviews and embedded documentation, and SQL for analytics/visualization data needs
  • Experience translating requirements between statisticians and developers by producing implementable specifications (data models, query patterns, annotated wireframes)
  • Experience administering and reporting with Adobe Analytics or equivalent digital analytics platforms
  • Active Tier 4 / High Risk Public Trust (Level 6+) clearance at time of proposal submission and eligibility for HSPD-12/PIV credentialing
  • Currently located in the United States and able to overlap core working hours in Eastern Time
Preferred Qualifications:
  • Master's degree in Computer Science, Data Science, Statistics, Information Systems, or a related field
  • Experience with NCHS, CDC, or federal statistical data environments
  • Experience applying machine learning techniques to analysis or visualization tasks
  • Familiarity with HHS EPLC or equivalent federal project lifecycle methodologies

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