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Machine Learning Engineer Jobs in Conroe, TX (NOW HIRING)

PROS Holdings, Inc.

Machine Learning Engineer II

Houston, TX · On-site

$93.10K - $127.50K/yr

Machine Learning Engineer II About PROS: PROS, Inc. is the leading offer management provider to the airline industry, helping airlines deliver seamless retail experiences designed to maximize revenue ...

Oxy

AI Machine Learning Engineer

Houston, TX · On-site

We are looking for an experienced and innovative individual contributor to fill the position of AI Machine Learning Engineer within our AI Center of Excellence group based in Houston, TX. The ...

PROS

Machine Learning Engineer II

Houston, TX · On-site

$93.10K - $127.50K/yr

Machine Learning Engineer II About PROS: PROS, Inc. is the leading offer management provider to the airline industry, helping airlines deliver seamless retail experiences designed to maximize revenue ...

Oxy

AI Machine Learning Engineer

Houston, TX

We are looking for an experienced and innovative individual contributor to fill the position of AI Machine Learning Engineer within our AI Center of Excellence group based in Houston, TX. The ...

Vitol

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154.20K/yr

The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow: from working with business stakeholders to help define the project, to data collation and processing ...

Vitol

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154.20K/yr

The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow: from working with business stakeholders to help define the project, to data collation and processing ...

Vitol

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154.20K/yr

The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow: from working with business stakeholders to help define the project, to data collation and processing ...

Beth Page tech

Senior Machine Learning Engineer

Houston, TX · On-site

$99.80K - $137K/yr

Senior Machine Learning Engineer Location: Houston, TX Environment: Standard, 5-days onsite : Must-Have (Technical Expertise & Core Responsibilities) * Deep Neural Networks (DNN): * Hands-on ...

Talentry, LLC

Be Seen First

Machine Learning Guru (Autonomous Navigation)**

Houston, TX · Remote

$200K - $300K/yr

Senior/Principal Machine Learning Engineer 200-300k Remote position possible Description * Develop solutions for autonomous driving, from experimentation to full commercialization. * Explore new ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Conroe, TX

Machine Learning Engineer information

See Conroe, TX salary details

$27K

$110.2K

$165.7K

How much do machine learning engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for machine learning engineer in Conroe, TX is $110,243.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,900.00 and $132,700.00 per year, depending on experience, location, and employer.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Conroe, TX? The most popular types of Machine Learning Engineer jobs in Conroe, TX are:
What job categories do people searching Machine Learning Engineer jobs in Conroe, TX look for? The top searched job categories for Machine Learning Engineer jobs in Conroe, TX are:
What cities near Conroe, TX are hiring for Machine Learning Engineer jobs? Cities near Conroe, TX with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
W2 Machine Learning Engineer

W2 Machine Learning Engineer

Judge Group, Inc.

Houston, TX

$150K - $220K/yr

Other

Posted 11 days ago

Job description

Location: Houston, TX
Salary: $150,000.00 USD Annually - $220,000.00 USD Annually
Description:
Machine Learning Engineer

W2- NO SPONSORSHIP AVAILABLE

Overview:
We are seeking a forward-thinking Machine Learning Engineer to evaluate and integrate emerging and start-up Artificial Intelligence (AI) and Machine Learning (ML) solutions that drive value.
This role blends deep technical expertise in AI and ML with a passion for experimentation, creativity, and solving complex problems in novel ways.
This position is part of the Mechatronics and Digital Labs Team responsible for providing thought leadership and execution of technology trials of emerging technologies to validate value and technical capability.
The function of this role is to partner with the business to identify disruptive and emerging technologies to achieve greater business value faster.
Our team is highly technical, creative, and innovative, and we are cross-functional and passionate about delivering creative solutions that drive significant business value.
We are looking for a Machine Learning Engineer with the ability to bring expertise, an innovative attitude, and excitement for solving complex problems with new technologies and approaches.
There will be no shortage of opportunities to lead, innovate, challenge the status quo, and work directly with Data Scientists, Analytics Professionals, and Business experts to build and deliver innovative, value-driven AI solutions.
Responsibilities:
  • Partner with Digital Innovation teams to evaluate and test emerging AI and machine learning technologies
  • Explore and experiment with Generative AI (GenAI), NLP, and computer vision applications
  • Stay current with the latest AI advancements and integrate them into projects
  • Collaborate with data scientists, data engineers, and solution architects across business units and IT
  • Build and maintain robust data pipelines using platforms such as Databricks
  • Deploy models in production using Docker and cloud platforms (AWS, Azure)
  • Conduct machine learning experiments to validate hypotheses and improve performance
  • Identify and frame AI opportunities to improve workflows, decision-making, and automation
  • Define data, technologies, and architecture patterns to solve business challenges
  • Transform data science prototypes into scalable production solutions
  • Orchestrate infrastructure for low-latency, scalable, and resilient ML workloads
  • Run experiments and fine-tune algorithms for optimal performance
  • Participate in Agile teams to support cross-training and continuous improvement
  • Continuously learn new technologies and design patterns to improve AI solution delivery

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Mathematics, or related field (or equivalent experience)
  • 5+ years of experience in software engineering
  • Strong Python development experience including data structures, OOP, and control flow
  • Experience with ML frameworks and libraries (MLflow, Kubeflow, TensorFlow, Keras, scikit-learn, PyTorch, NumPy, SciPy)
  • Experience with JavaScript frameworks (Angular, React, Node.js)
  • Experience building ML pipelines in Microsoft Azure Machine Learning
  • Experience developing cloud-first solutions using Azure services (Functions, App Services, Event Hubs, SQL DB, Synapse)
  • Strong understanding of design patterns and ability to communicate design ideas
  • Methodical, structured approach to building scalable software components
  • Working knowledge of linear algebra, probability, statistics, and algorithms
  • Experience with data engineering tools such as Databricks, Spark, and Azure Data Factory

Preferred Qualifications:
  • Master's degree in Computer Science, Mathematics, or related field
  • Strong background in statistics and time-series analysis
  • Experience orchestrating large-scale ML/DL workloads using Kubernetes or similar tools
  • Experience designing APIs for ML training and inference
  • Experience building and delivering MLOps frameworks
  • Experience with unstructured data, cognitive services, and computer vision solutions
  • Experience with model optimization and hyperparameter tuning
  • Hands-on experience with Azure ML SDK deployments
  • Strong Python debugging and OOP skills
  • Strong architectural design skills and framework development experience
  • Passion for high-quality software development practices
  • Knowledge of enterprise SaaS requirements (security, scalability, availability, CI/CD, etc.)
  • Strong understanding of software engineering best practices (version control, testing, architecture review)
  • Proven ability to lead cross-functional projects in Agile environments
  • Experience collaborating with data scientists to deploy advanced analytics solutions

Critical Selection Criteria:
  • Technical Capability: Strong software engineering background with ML frameworks, mathematical knowledge, and ability to quickly learn new technologies to deliver AI solutions
  • Business Engagement: Ability to partner with stakeholders to identify and implement machine learning solutions that drive business value
  • Domain Knowledge: Experience in upstream, midstream, or downstream environments with ability to build cross-functional partnerships and deliver scalable AI solutions
  • Communication: Strong verbal and written communication skills with the ability to clearly convey complex ideas and actively listen to stakeholders

By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!

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