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

Diverse Lynx

AI/ML Software Engineer

Houston, TX · On-site

Diverse Lynx is seeking an experienced AI/ML Software Engineer to design, develop, and deploy scalable AI and Machine Learning solutions. The ideal candidate will collaborate with product managers ...

Crane Worldwide Logistics

Data Scientist

Houston, TX · On-site

Develop, test, and deploy machine learning models to support decision[1]making and optimize business processes * Design and conduct experiments (e.g. A/B testing) to validate hypotheses and measure ...

HP

AI & Data Analytics

Spring, TX · On-site

$101K - $122K/yr

Responsibilities : • Demonstrates proficiency in designing, developing, and deploying machine learning models (e.g., regression, classification, ensemble methods) to address complex analytical ...

New

Scalence L.L.C.

AI ML Software Engineer

Houston, TX · On-site

... machine learning models in production • Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API • Experience with machine learning ...

Chevron

Finance AI & ML Senior Analyst

Houston, TX · On-site +1

$81K - $101K/yr

Total Number of Openings 1 Chevron is accepting online applications for the role of Senior Finance ... Design, build, and own advanced machine learning and statistical models that directly inform ...

Chevron

Finance AI & ML Senior Analyst

Houston, TX · On-site

$81K - $101K/yr

Total Number of Openings 1 Chevron is accepting online applications for the role of Senior Finance ... Design, build, and own advanced machine learning and statistical models that directly inform ...

Varsity Tutors

Python Tutor

Houston, TX · Remote

$18 - $40/hr

... online Python tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ...

Varsity Tutors

Business Analytics Tutor

Houston, TX · Remote

$18 - $40/hr

... online Business Analytics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have ... Ability to explain statistical modeling techniques, machine learning basics, and business ...

Varsity Tutors

Linear Algebra Tutor

Houston, TX · Remote

$18 - $40/hr

... Live Learning Platform has thousands of students looking for online Linear Algebra tutors ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Deloitte

AI Data Engineer - Manager

Houston, TX · On-site

$109K - $131K/yr

Lead the development of AI models (e.g., machine learning, natural language processing, computer vision) and implement scalable AI solutions. Collaboration and Stakeholder Engagement * Collaborate ...

Linde

Data Scientist - Energy

The Woodlands, TX · On-site

You have demonstrated experience in formulating and solving optimization, machine learning, forecasting, and statistical modeling problems such as regression, segmentation, survival analysis ...

swipejobs LLC

Data Engineer

Houston, TX · On-site

$80/hr

Implement ETL processes, optimize database performance, and ensure data quality and accessibility for analytics and machine learning applications. $80.00 / hr LI23 LILive24 Company Description ...

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Showing results 1-20

All JobsOnline Machine Learning JobsOnline Machine Learning Jobs in Spring, TX

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 Jun 26, 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 jobs pay $2000 a day?

In the field of online machine learning, highly specialized roles such as AI consultants, data science experts, or machine learning engineers working on large-scale projects can earn around $2,000 per day, especially with extensive experience, advanced skills in programming and algorithms, and working as independent contractors or consultants. These roles often require strong expertise in tools like Python, TensorFlow, or cloud platforms, and may involve project-based or freelance work with flexible schedules.

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.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI research directors, chief AI officers, or senior machine learning executives, often requiring advanced expertise, leadership skills, and extensive experience. These positions usually involve strategic decision-making, overseeing AI projects, and may require knowledge of deep learning, data science, and relevant tools like TensorFlow or PyTorch.

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, and why are they important?

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 engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in algorithms and data modeling, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation may include base salary, bonuses, and stock options, especially in competitive markets or executive-level roles.

Which 3 jobs will survive AI?

Online machine learning specialists, data scientists, and AI ethics professionals are likely to continue thriving as AI advances, due to their expertise in developing, managing, and overseeing AI systems. These roles require advanced skills in programming, statistical analysis, and domain knowledge, making them less susceptible to automation. Continuous learning and certification in relevant tools like Python, TensorFlow, or cloud platforms can enhance job security in this field.
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 Online Machine Learning jobs in Spring, TX? For Online Machine Learning jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Online Machine Learning jobs in Spring, TX look for? The top searched job categories for Online 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:
Online Machine Learning jobs near you
AI/ML Software Engineer

AI/ML Software Engineer

Diverse Lynx

Houston, TX • On-site

Full-time

Posted 10 days ago

Job description

Job Summary:
Diverse Lynx is seeking an experienced AI/ML Software Engineer to design, develop, and deploy scalable AI and Machine Learning solutions. The ideal candidate will collaborate with product managers and engineering teams to create production-ready AI applications.
Responsibilities:
• Design, develop, and deploy AI/ML/LLM/GenAI solutions
• Build NLP applications including summarization and text generation systems
• Develop automated ML pipelines for model training and deployment
• Fine-tune and optimize generative AI models for business use cases
• Integrate OpenAI APIs and external AI services
• Evaluate model performance and implement improvements
• Monitor production models for accuracy, reliability, and scalability
• Collaborate with Product Managers, Data Scientists, ML Engineers, and stakeholders
• Communicate AI solutions and results to technical and non-technical teams
• Establish and maintain strong working relationships with business stakeholders, technology teams, and support partners.
• Ensure adherence to operational SLAs and support commitments.
• Participate in on-call support and production issue resolution activities when required.
• Promote best practices, process improvements, and operational excellence initiatives.
Qualifications:
Required:
• 6+ years of experience in AI/ML Engineering, Machine Learning, and Software Development
• Strong programming experience with Python
• Hands-on experience with LLM, Generative AI, NLP, and OpenAI APIs
• Experience with ML frameworks: TensorFlow, PyTorch, Scikit-learn
• Experience building and deploying ML models in production environments
• Strong understanding of Machine Learning algorithms, Deep Learning, Classification, Regression, Time Series, Neural Networks, Generative Models (GANs, VAEs)
• Experience with Prompt Engineering and Model Fine-tuning
• Experience with RAG (Retrieval Augmented Generation) pipelines
• Knowledge of prompting techniques: Chain-of-Thought, Tree-of-Thought, Graph-of-Thought
Preferred:
• Experience supporting banking applications, payment systems, lending platforms, or financial transaction systems
• Knowledge of data analytics and reporting tools
• Experience with Splunk, AppDynamics, Grafana, or similar monitoring platforms
• Familiarity with cloud-based application support environments
• Understanding of ITIL best practices and service management frameworks
• Experience with automation and scripting for operational efficiency
• ITIL Foundation Certification or equivalent is a plus
Company:
Diverse Lynx is a WBENC- and NMSDC-certified partner, helping organizations turn diversity goals into measurable impact through staffing and contingent workforce solutions. Founded in 2002, the company is headquartered in Princeton, New Jersey, US, , with a team of 1001-5000 employees. The company is currently Late Stage.
Diverse Lynx logo

About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

Social media

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