ZipRecruiter

Log In

1

Microsoft Machine Learning Jobs in Houston, 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 ... Familiarity with Linux environments and cloud platforms, preferably Microsoft Azure. * Strong ...

PROS

Machine Learning Engineer II

Houston, TX · On-site

$93.10K - $127.50K/yr

Machine Learning Engineer II PROS, Inc. is the leading offer management provider to the airline ... Familiarity with Linux environments and cloud platforms, preferably Microsoft Azure. * Strong ...

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 ... Familiarity with Linux environments and cloud platforms, preferably Microsoft Azure. * Strong ...

Diverse Lynx

Senior AI Engineer

Houston, TX · On-site

$99.80K - $137K/yr

Strong experience with Microsoft Azure, including AI/ML services and cloud native architecture * Hands on experience deploying and operating ML pipelines using Azure Machine Learning * Proficiency in ...

Anveta

Senior AI Engineer

Houston, TX · Remote

$55 - $60/hr

Strong experience with Microsoft Azure , including AI/ML services and cloud-native architecture. * Hands-on experience with Azure Machine Learning for deploying and managing ML pipelines.

Deloitte

Azure AI Security Senior Consultant

Houston, TX · On-site

$109.30K - $149.90K/yr

... and Machine Learning solutions on the Microsoft Azure platform. You will: * Lead security implementation of Azure AI Services (OpenAI Service, Machine Learning, Cognitive Services, AI Studio ...

Strike

AI Analyst I

Spring, TX · On-site

Support development and testing of machine learning models and AI solutions. * Help monitor model ... Experience using Microsoft's Copilot suite. * Basic knowledge of data pipelines or ETL processes.

Strike

AI Analyst I

Spring, TX · On-site

Support development and testing of machine learning models and AI solutions. * Help monitor model ... Experience using Microsoft's Copilot suite. * Basic knowledge of data pipelines or ETL processes.

Strike LLC

AI Analyst I

Spring, TX · On-site

Support development and testing of machine learning models and AI solutions. * Help monitor model ... Experience using Microsoft's Copilot suite. * Basic knowledge of data pipelines or ETL processes.

Strike LLC

AI Analyst I

Shenandoah, TX · On-site

Support development and testing of machine learning models and AI solutions. * Help monitor model ... Experience using Microsoft's Copilot suite. * Basic knowledge of data pipelines or ETL processes.

Oxy

AI ML Operations Engineer

Houston, TX

$66.40K - $89.80K/yr

... and machine learning methods and algorithms * Strong Python or R programming skills required * Knowledge of Linux environment required * Strong knowledge of Microsoft products (Excel, Project ...

Oxy

AI ML Operations Engineer

Houston, TX · On-site

$66.40K - $89.80K/yr

... and machine learning methods and algorithms * Strong Python or R programming skills required * Knowledge of Linux environment required * Strong knowledge of Microsoft products (Excel, Project ...

Oxy

AI ML Operations Engineer

Houston, TX · On-site

$66.40K - $89.80K/yr

... and machine learning methods and algorithms * Strong Python or R programming skills required * Knowledge of Linux environment required * Strong knowledge of Microsoft products (Excel, Project ...

next page

Showing results 1-20

People also search for

All JobsMicrosoft Machine Learning JobsMicrosoft Machine Learning Jobs in Houston, TX

Microsoft Machine Learning information

See Houston, TX salary details

$24.4K

$40.7K

$84K

How much do microsoft machine learning jobs pay per year?

As of May 28, 2026, the average yearly pay for microsoft machine learning in Houston, TX is $40,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,000.00 and $43,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Microsoft Machine Learning Engineer, you need a solid background in computer science, mathematics, and statistics, typically supported by a relevant degree and experience in machine learning model development. Proficiency with tools such as Azure Machine Learning, Python, TensorFlow or PyTorch, and familiarity with cloud computing platforms is expected, along with certifications like Microsoft Certified: Azure AI Engineer Associate. Strong problem-solving skills, collaboration, and effective communication are crucial soft skills for successful project delivery and stakeholder engagement. These skills and qualities are vital for developing robust, scalable ML solutions that meet business objectives in dynamic environments.

What types of projects do Microsoft Machine Learning engineers typically work on, and how does collaboration with other teams factor into their daily responsibilities?

Microsoft Machine Learning engineers often work on projects involving large-scale data analysis, building predictive models, and developing AI-powered features for Microsoft products and services. Collaboration is a key part of the role; engineers frequently partner with data scientists, software developers, and product managers to align machine learning solutions with business objectives and user needs. Regular cross-functional meetings, code reviews, and joint problem-solving sessions are common, fostering a collaborative and innovative work environment. This teamwork not only enhances project outcomes but also provides valuable learning opportunities across different disciplines.

What is a Microsoft Machine Learning Engineer?

A Microsoft Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models using Microsoft technologies such as Azure Machine Learning, Python, and various data science tools. They work with large datasets to develop predictive models, automate processes, and provide data-driven insights for businesses. Their responsibilities often include data preprocessing, model training, evaluation, and deploying solutions to the cloud. They collaborate closely with data engineers, data scientists, and software developers to integrate machine learning solutions into applications. Proficiency in Microsoft Azure and knowledge of AI frameworks are essential for this role.
What are popular job titles related to Microsoft Machine Learning jobs in Houston, TX? For Microsoft Machine Learning jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Microsoft Machine Learning jobs in Houston, TX look for? The top searched job categories for Microsoft Machine Learning jobs in Houston, TX are:
Microsoft Machine Learning jobs near you
Infographic showing various Microsoft Machine Learning job openings in Houston, TX as of May 2026, with employment types broken down into 2% Internship, 5% As Needed, 73% Full Time, 18% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $40,666 per year, or $19.6 per hour.
W2 Machine Learning Engineer

W2 Machine Learning Engineer

Judge Group, Inc.

Houston, TX

$150K - $220K/yr

Other

Posted 9 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!

Apply