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

SupplyHouse

Senior Product Manager

Houston, TX · Remote

$109K - $137K/yr

This is a remote-based role within select states in the United States. At this time, we are only ... Identifies and prioritizes opportunities to apply AI and machine learning -- such as dynamic ...

Munich Re

Data Scientist, AI

Houston, TX · On-site +1

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI solutions that shape strategy and outcomes. American Modern Insurance Group, Inc., a Munich Re company ...

Imubit

Financial Controller

Houston, TX · On-site +1

Imubit is looking for a top-notch Financial Controller to help disrupt the manufacturing world with breakthrough machine learning technologies. This role is open to remote candidates in the US.

Wesco

AI Product Owner

Jersey Village, TX · Remote

Drive AI product strategy , identifying opportunities to leverage machine learning, generative AI ... PSM/PSPO OR SAFe POPM certifications preferred #LI-JB1 #LI-REMOTE This amount is what we reasonably ...

Quvia

Sales Engineer, Energy

Houston, TX · Remote

Our platform uses AI and machine learning to orchestrate connectivity across satellite, terrestrial ... We are headquartered in the greater Miami region, with remote teams spanning the U.S., Europe, and ...

Quvia

Sales Engineer, Energy

Houston, TX · On-site +1

Our platform uses AI and machine learning to orchestrate connectivity across satellite, terrestrial ... We are headquartered in the greater Miami region, with remote teams spanning the U.S., Europe, and ...

Crowe LLP

Senior AI Engineer

Houston, TX · On-site +1

$99K - $137K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... The Senior AI Engineer 1 (Senior Staff) leads the development of advanced AI and machine learning ...

ABB

OEM Sales Director-Machinery

Houston, TX · On-site +1

This role can be remote in the United States and supports the Motion Drive Products Division in New ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

Consor Engineers

Structural CAD Technician

Houston, TX · On-site +1

... copy machines. May occasionally be exposed to noise. * While performing the duties of this job ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

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Showing results 1-20

All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Spring, TX

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 Jul 17, 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 engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

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.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
More about Remote Machine Learning jobs
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:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Spring, TX as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $37,895 per year, or $18.2 per hour.
Lead Delivery Solution Architect

Lead Delivery Solution Architect

Hewlett Packard Enterprise

Spring, TX • Remote

$119K/yr

Full-time

Re-posted 8 days ago

Hewlett Packard Enterprise rating

8.4

Company rating: 8.4 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

26th of 143 rated electronics manufacturers

Job description

Lead Delivery Solution ArchitectThis role has been designated as 'Remote/Teleworker', which means you will primarily work from home.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.Our culture thrives onfinding new and better ways to accelerate what's next.We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs.We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you.Open up opportunities with HPE.

Job Description:

We are looking for Lead Delivery Solution Architect (LDSA) to join our team!

  • Senior technical leader responsible for shaping and delivering complex, high-value solutions during both the early engagement phases and throughout the lifecycle of large-scale customer programs

  • LDSA plays pivotal role in:

    • Early Engagement: Supporting solutioning activities during the early stages of the sales cycle, acting as the technical design authority and trusted advisor to customers. The LDSA ensures that proposed solutions are technically sounds, aligned with business objectives, and feasible for delivery.

    • Program Architecture Leadership: Leading the technical execution of large, multi-domain programs, ensuring architectural integrity, stakeholder alignment, and successful delivery outcomes.

  • The role requires experience in:

    • Designing and delivering hybrid cloud and enterprise-scale solutions

    • Acting as a single point of contact for solution architecture across internal and external stakeholders

    • Driving quality, governance and continuous improvement across delivery teams

    • Collaborating with pursuit managers, program managers, managed services and cross-functional teams to ensure seamless transition from design to run.

  • The LDSA is expected to operate with strategic foresight, technical depth, and strong leadership, enabling HPE to deliver differentiated value to customers and accelerate business outcomes.

Knowledge and Skills:

  • Expertise with the Nvidia AI solutions

  • Expertise with Machine Learning and deep learning

  • Data Science knowledge and experience

  • Big data and cloud computing

  • Experience with large-scale AI Solution deployments

  • Preferred experience with HPE HPC products and solutions

  • Experience with planning and implementation AI solutions for customers

  • Strong communication and consulting skills

  • Bridge gap between business requirements and technical capabilities, ensuring that initiatives align with customers organizational goals

  • Strong system integration skills

Additional Skills:

Accountability, Accountability, Active Learning, Active Listening, Bias, Business Growth, Client Expectations Management, Coaching, Creativity, Critical Thinking, Cross-Functional Teamwork, Customer Centric Solutions, Customer Relationship Management (CRM), Design Thinking, Empathy, Follow-Through, Growth Mindset, Information Technology (IT) Infrastructure, Infrastructure as a Service (IaaS), Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity, Process Improvements, Product Services, Relationship Building {+ 5 more}

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#unitedstates#servicesandsupport

Job:

Services

Job Level:

TCP_05

States with Pay Range Requirement

The expected salary/wage range for a U.S.-based hire filling this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. If this is a sales role, then the listed salary range reflects combined base salary and target-level sales compensation pay. If this is a non-sales role, then the listed salary range reflects base salary only. Variable incentives may also be offered. Information about employee benefits offered can be found at https://myhperewards.com/main/new-hire-enrollment.html.

USD Annual Salary: $119,500.00 - $275,000.00

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

No Fees Notice & Recruitment Fraud Disclaimer

It has come to HPE's attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates.

Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendorswill never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process.The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.

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