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

Data Science Tutor

Houston, TX · Remote

$18 - $40/hr

... online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science & Machine Learning: * Strong foundation in mathematics, statistics, and machine learning * Experience with exploring and extracting insights from multi-dimensional datasets * Proficiency ...

AI Engineer

Houston, TX · On-site

$55K - $187K/yr

Responsibilities - Designing and implementing AI systems to transform raw data into actionable insights - Developing scalable machine learning models using Python and TensorFlow - Integrating data ...

Software Engineer in Data Science

Houston, TX · On-site

$109K - $131K/yr

Vitol is the world's largest independent energy and commodities trading company, and they are seeking an experienced Software Engineer to join their global data science and machine learning team. The ...

Understands how key financial and quantitative indicators impact the business All interested candidates must complete an online application at the ConocoPhillips Careers website to be considered for ...

Showing results 21-40

Online Machine Learning information

See Spring, TX salary details

$22.7K

$37.9K

$78.3K

How much do online machine learning jobs pay per year?

As of Aug 6, 2026, the average yearly pay for online 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 online machine learning?

Online machine learning is a method where models are trained incrementally as new data becomes available, rather than being trained all at once on a fixed dataset. This approach is particularly useful in environments where data arrives continuously, such as real-time analytics, recommendation systems, and fraud detection. Online learning algorithms update their knowledge with each new data point, allowing them to adapt quickly to changes and trends. This makes them ideal for applications that require immediate responses and adaptability to evolving data streams.

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

AspectOnline Machine LearningData Scientist
Required CredentialsBachelor's or master's in CS, ML, or related fields; certifications in ML or data analysisBachelor's or master's in CS, statistics, or related fields; advanced degrees often preferred
Work EnvironmentTech companies, startups, research labs; focus on real-time data processingCorporate, consulting, or research settings; focus on data analysis and modeling
Industry UsageMachine learning applications, AI development, real-time systemsData analysis, predictive modeling, business insights

Online Machine Learning specialists focus on developing algorithms that learn continuously from streaming data, often in real-time environments. Data Scientists analyze large datasets to extract insights, build models, and support decision-making. While both roles require knowledge of machine learning, Online Machine Learning emphasizes real-time data processing, whereas Data Scientists focus on data analysis and modeling for strategic insights.

How does collaboration typically work between online machine learning engineers and data scientists in a project setting?

Online machine learning engineers often work closely with data scientists to ensure that the models they develop can be effectively deployed and updated in real-time environments. While data scientists may focus on feature engineering, model selection, and initial training using historical data, online machine learning engineers are responsible for integrating these models into production systems and implementing mechanisms for continuous learning from live data streams. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth collaboration and ensure that the models remain accurate and efficient as new data arrives.

What are the key skills and qualifications needed to thrive as an online machine learning engineer?

To excel as an Online Machine Learning Engineer, you need a strong background in computer science, statistics, and machine learning algorithms, often supported by a relevant degree and experience with streaming data. Familiarity with tools such as Apache Kafka, Spark Streaming, Python, TensorFlow, and real-time data processing frameworks is critical. Problem-solving ability, adaptability, and effective communication are essential soft skills for collaborating with multidisciplinary teams and responding to rapidly changing data. These competencies are crucial for building scalable, responsive models that provide timely insights in dynamic production environments.
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 cities near Spring, TX are hiring for Online Machine Learning jobs? Cities near Spring, TX with the most Online Machine Learning job openings:

AI and Machine Learning Engineer

Hewlett Packard Enterprise

Spring, TX • Hybrid

Full-time

Posted 2 days ago

New


Hewlett Packard Enterprise rating

8.4

Company rating: 8.4 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

36th of 156 rated electronics manufacturers


Job description

AI and Machine Learning EngineerThis role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

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:

High Performance Computing, AI and Labs are a critical element of HPE. We are focused on delivering innovative solutions that accelerate our customers' digital transformation, enabling them to tackle their complex, and data-intensive workloads. Combining deep expertise and the development of the world's most cutting-edge, high-performance supercomputers, is defining the next era of computing delivering valuable insight & innovation. Join us and redefine what's next for you.

Responsibilities:

  • Installs and configures complex IT infrastructure components (servers, storage, network)

  • Develop software scripts and configurations for automating deployment.

  • Study and improve the performance of Large Language Models run on HPE GPU servers

  • Performssystem levelanalysis of server workloads on variousHPE platforms running DL and ML code to include accelerated hardware and high-speed networks like InfiniBand

  • Writes white papers and other guidance documents for AI workload and model selection

  • Captures and reviews system performance data, logs, traces to understand workload behaviour

  • Develops software and scripts that help analyse AI workload performance data

  • Communicates technical work well and can provide summaries of work to non-technical colleagues

  • Works with software and hardware partners in optimizing systems and resolving performance issues

  • Documents and reports issues discovered when testing and evaluating the systems

  • Communicates project status and concerns to management in a timely manner

  • Provides guidance to less-experienced staff members.

  • Runs AI and HPC benchmarks.

Education and Experience Required:

  • Master's degree or PhD in Computer Science, Engineering, Information Technology or Systems, or relevant field.

  • 5+ years of experience.

Knowledge and Skills:

  • 5+ years of experience in Machine Learning/Artificial Intelligence and 5+ years of experience in HPC

  • Experience running NCCL, HPL and AI benchmarks.

  • Experience working with containers and distributed deep learning and neural networks, to include transformers used in generative AI projects

  • Experience working with High Performance Computer Servers, High Performance Networking, and associated software, including resource managers like Slurm

  • Experience working with Weka I/O, NFTS and Lustre File Systems

  • Programming experience in Python, C, C++

  • Strong analytical and critical thinking skills

  • Scripting, process automation and CI/CD are strongly desired

  • Must be a self-starter and be able to work with minimum supervision in a semi-remote setting

Additional Skills:

Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset.

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

Job:

Engineering

Job Level:

TCP_03"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
- United States of America: Annual Salary USD 120,500 - 276,500 in Texas
The listed salary range reflects base salary. Variable incentives may also be offered."

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

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.

Recruitment Fraud Alert

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual's own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.


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