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Remote Machine Learning Engineer Jobs in Tennessee

Experience with Databricks workspace administration, machine learning operations (MLOps), or ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Experience with Databricks workspace administration, machine learning operations (MLOps), or ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Experience with Databricks workspace administration, machine learning operations (MLOps), or ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Senior Azure Cloud Engineer

Oak Ridge, TN · Remote

$53.25 - $71.25/hr

... services, Azure Machine Learning, Azure OpenAI, and Terraform * Implement and maintain ... Continuously improve Azure engineering practices to support efficient delivery across a growing ...

... remote work and setting your own schedule. We are looking for proficient programmers to help ... machine learning, and other engineers -- who are driving real‐world impact in AI development. Our ...

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Algorithms, Data Analysis, Machine Learning (ML), Natural Language, Python (Programming Language ...

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Remote Machine Learning Engineer information

See Tennessee salary details

$28.6K

$116.9K

$175.6K

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

As of May 30, 2026, the average yearly pay for remote machine learning engineer in Tennessee is $116,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,100.00 and $140,700.00 per year, depending on experience, location, and employer.

What is a Remote Machine Learning Engineer job?

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 key skills and qualifications needed to thrive in the Remote Machine Learning Engineer position, and why are they important?

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 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 most commonly searched types of Machine Learning Engineer jobs in Tennessee? The most popular types of Machine Learning Engineer jobs in Tennessee are:
What are popular job titles related to Remote Machine Learning Engineer jobs in Tennessee? For Remote Machine Learning Engineer jobs in Tennessee, the most frequently searched job titles are:
What cities in Tennessee are hiring for Remote Machine Learning Engineer jobs? Cities in Tennessee with the most Remote Machine Learning Engineer job openings:
Stream Restoration Engineer

Stream Restoration Engineer

Geosyntec Consultants, Inc.

Johnson City, TN • On-site, Remote

Full-time

Posted 16 days ago


Job description

Overview

Are you seeking an opportunity to improve the world around you through stewardship of precious natural resources?

We are looking for a mid-career Stream Restoration Engineer to be in one of our following offices: Charlotte, NC; Raleigh, NC; Asheville, NC; Greenville, SC; Johnson City, TN. This opportunity offers a Hybrid work schedule within one of the offices listed. Typical work efforts include planning, design and construction assistance services on various projects including ecosystem restoration, urban stream/wetland improvement, mitigation banking, riverine engineering, stormwater engineering, coastal resiliency, along with associated environmental permitting and compliance. 

Geosyntec is an innovative, international engineering and consulting firm serving private and public-sector clients to address new ventures and complex problems involving our environment, natural resources, and civil infrastructure. Our engineers, scientists, technical and project employees serve our clients from offices across the world. Consistently ranked by ENR as one of the top environmental engineering design firms, Geosyntec is internationally known for its technical leadership, breadth of expertise, and exceptional client service. 

We invest in our people.  Each employee is unique, and your career at Geosyntec will be too.  We offer competitive pay and benefits, and well-being programs to support you and your family.

To Learn More Visit: http://www.geosyntec.com/careers/.

Essential Duties and Responsibilities
  • Directing multi-disciplinary project teams;
  • Performing and overseeing detailed fluvial geomorphic, sediment transport, biological, soil science, hydrologic and hydraulic studies;
  • Applying knowledge of CWA mitigation regulations and standard operation procedures (SOPs) for the establishment of stream and wetland mitigation banks within the U.S. Army Corps of Engineers Savannah, Mobile, Charleston, Wilmington, and Nashville Districts;
  • Leading and conducting field investigations and providing construction support services;
  • Developing construction documents, including engineering drawings and technical specifications;
  • Applying and/or directing innovative hydrologic and hydraulic modeling software, from 1-D to 3-D hydrologic, sediment transport and/or morphodynamic models;
  • Interacting with client representatives;
  • Project-level responsibility for scoping, performing, managing and delivering multiple concurrent project assignments;
  • Consistent with our sell-manage-do business model, play a role supporting lead generation, business development, staff development, and mentoring; and
  • Help broaden our reputation via publishing and visibility at prominent industry conferences.
  • Drive personal, company, and rental vehicles to client or company project or office sites, and other business locations, as needed.
Education and Licensure
  • Bachelor's degree in civil, agricultural, biological, or biosystem engineering, natural resources science, hydrotechnical, with emphasis on water resources or closely related discipline. (required)
  • Advanced degree in geology, natural resources science, environmental or civil engineering, with emphasis on water resources or closely related discipline. (preferred)
  • Ability to obtain Professional registration (within 3 years) if not presently held (i.e., P.E., P.G., P.W.S., A.E., C.E., CERP, CPSS and/or CPSC). (preferred)
Skills, Experience and Qualifications
  • At least 5 years (7+ years preferred) of consulting experience in fluvial geomorphology, ecological restoration (riverine/wetland/riparian systems), soil science, biological monitoring, mitigation banking, and natural resources remote sensing; or equivalent combination of education and experience. (required) 
  • Experience planning, conducting field and desktop data collection, data analysis, and application in an engineering context to restore degraded stream/riverine and wetland systems (e.g., developing engineering plans for construction execution). (required)
  • Experience producing Mitigation Plans and/or Mitigation Banking Instrument documents, including related agency (USACE) coordination.(preferred)
  • Significant experience with conducting fluvial geomorphologic assessments in streams and riverine systems (including the various methodologies that can be employed) and using remote sensing GIS toolsets for related analysis. (preferred)
  • Experience with remote sensing/modeling/design tools such as ArcGIS Pro, ArcGIS Hydro, coding in Python (or other code languages), HEC-RAS (1D & 2D), groundwater flow (riparian zones) models, HydroCAD and AutoCAD Civil 3D.  (preferred)
  • Experience with a variety of unmanned aerial systems (UAS) for geospatial data collection (e.g., LIDAR, imagery, etc.) and possessing an FAA remote pilot license (Part 107) or willingness to attain and maintain license. (preferred)
  • Experience with the application of the theory of machine learning and/or artificial intelligence (AI) methods to natural resource data analysis and solution generation. (preferred)
  • Strong oral and technical writing skills. (required)
  • Valid U.S. driver's license and a satisfactory driving record for business travel. (required)

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Employment Type: FULL_TIME