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Remote Machine Learning Jobs in Spring, TX (NOW HIRING)

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

As a Lead Machine Learning Engineer specializing in conversational and agentic systems at NobleAI ... Remote-first with co-working access at Industrious offices * 401(k) with employer match * Equity ...

Lead Machine Learning Engineer

Houston, TX · Remote

$104K - $138K/yr

As a Lead Machine Learning Engineer specializing in conversational and agentic systems at NobleAI ... Remote-first with co-working access at Industrious offices * 401(k) with employer match * Equity ...

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

As a Lead Machine Learning Engineer specializing in conversational and agentic systems at NobleAI ... Remote-first with co-working access at Industrious offices * 401(k) with employer match * Equity ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

A specialization in machine-learning, artificial intelligence, cognitive science or data science is ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

AI Software Engineer

Houston, TX · Remote

$115K - $145K/yr

Domain - Prior work in agriculture, agronomy, remote sensing, climate, energy, or environmental markets. About Arva Intelligence Arva is a machine learning software-based SaaS company with offices ...

Software Engineer in Data Science

Houston, TX · On-site +1

$109K - $131K/yr

The individual will work both with our data scientists and machine learning engineers but will also need to directly engage with the commercial teams (across trading, operations, support functions ...

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Remote Machine Learning information

See Spring, TX salary details

$22.7K

$37.9K

$78.3K

How much do remote machine learning jobs pay per year?

As of Aug 27, 2026, the average yearly pay for remote machine learning in Spring, TX is $37,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,900.00 and $40,900.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

What are the most commonly searched types of Machine Learning jobs in Spring, TX?

The most popular types of Machine Learning jobs in Spring, TX are:

What are popular job titles related to Remote Machine Learning jobs in Spring, TX?

For Remote Machine Learning jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning jobs in Spring, TX look for?

The top searched job categories for Remote Machine Learning jobs in Spring, TX are:

What cities near Spring, TX are hiring for Remote Machine Learning jobs?

Cities near Spring, TX with the most Remote Machine Learning job openings:

Infographic showing various Remote Machine Learning job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $37,895 per year, or $18.2 per hour.

Machine Learning & AI Infrastructure Engineer

KORE1 Technologies

Houston, TX • Remote

$190K/yr

Contractor

Re-posted 23 days ago


Job description


KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a Machine Learning & AI Infrastructure Engineer that is fully remote. 

Summary:
We are seeking a Machine Learning & AI Infrastructure Engineer to help design, deploy, and support advanced AI, machine learning, and high-performance computing (HPC) environments. This hands-on technical role will work directly with compute, storage, networking, and containerized infrastructure to deliver scalable, high-performance solutions for enterprise, healthcare, research, and academic organizations.
The ideal candidate is passionate about AI infrastructure, thrives in complex technical environments, and enjoys solving challenging engineering problems while working alongside cross-functional teams.
Key Responsibilities
  • Deploy, administer, and optimize AI and HPC infrastructure environments.
  • Support compute, storage, networking, and container platforms across customer and internal environments.
  • Troubleshoot system performance, reliability, and scalability issues.
  • Assist with infrastructure automation and operational improvements.
  • Collaborate with engineering teams to design and implement modern AI and machine learning platforms.
  • Monitor and maintain infrastructure to ensure high availability and performance.
  • Support customer implementations and ongoing operational needs.

Required Qualifications
  • Strong experience administering HPC bare-metal environments.
  • Experience with NVIDIA Base Command Manager, Bright Cluster Manager, or similar HPC management platforms preferred.
  • Hands-on Kubernetes administration experience, particularly with persistent storage provisioning and CSI integrations.
  • Strong Linux administration skills, preferably Ubuntu.
  • Experience with Bash and/or Python scripting.
  • Strong troubleshooting and systems engineering capabilities.

Preferred Qualifications
  • Experience administering enterprise storage platforms such as Dell PowerScale/Isilon, VAST Storage, NetApp ONTAP, DDN IntelliFlash, or similar technologies.
  • Experience with DDN Exascaler, Lustre, or other parallel file systems.
  • Containerization and container orchestration experience.
  • Familiarity with InfiniBand networking and NVIDIA UFM.
  • Experience supporting enterprise Ethernet networking environments.
  • Exposure to AI, machine learning, or GPU-accelerated computing environments.

What Success Looks Like
  • Reliable deployment and operation of AI and HPC environments.
  • Strong system performance, scalability, and uptime.
  • Effective collaboration with engineering and customer teams.
  • Continuous improvement of infrastructure automation and operational processes.
  • Successful delivery of complex technical solutions supporting advanced AI and research initiatives.




Compensation depends on experience but is typically $170-190k/year.

ABOUT KORE1
Specializing in professional and technical recruiting, KORE1 is committed to supporting top IT, Engineering, Creative, Scientific, Accounting and Finance professionals in their career paths. We build deep relationships with leading companies, connecting them to exceptional talent every day. With extensive industry expertise and unmatched opportunities, our goal is to provide a unique experience for our contractors and consultants as they prepare for their next role. We are passionate about matching the right people with the right companies.

Kore1 provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Kore1 complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Kore1 expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Kore1's employees to perform their job duties may result in discipline up to and including discharge.
Education:Employment Type: CONTRACTOR