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Microsoft Machine Learning Jobs in Houston, TX (NOW HIRING)

Kirkland & Ellis LLP.

AI Engineer II

Houston, TX · On-site

$116K - $144K/yr

Experience with Microsoft Azure AI services (e.g., Azure Machine Learning, Azure OpenAI Service, Azure AI Search) along with Docker and Kubernetes (AKS). * Engineering Practices: Familiarity with ...

NAVA Software Solutions

Sr. Data Engineer

Sugar Land, TX · On-site

$105K - $126K/yr

... machine learning initiatives, ensuring high-quality, well-documented, AI-ready data products. Key ... Hands-on experience with a modern cloud data platform / lake house (Databricks, Microsoft Fabric ...

Sagis

Automation Engineer

Houston, TX · On-site

$100 - $130/hr

Integrate with Microsoft 365 applications and APIs * Test, deploy, and maintain automation ... Machine Learning and LLM experience * Knowledge of AI agents and agentic workflows * Azure services ...

Deloitte

Oracle Gen AI Manager

Houston, TX · On-site

... machine learning initiatives * Identify high-value AI use cases and guide teams on prompt ... Microsoft Azure, or Google Cloud Platform * Experience with LangChain, LangGraph, NVIDIA NIM, or ...

Aramco

Market Risk Analyst

Houston, TX · On-site

Apply advanced statistical techniques and machine learning algorithms to improve the accuracy and ... Proficiency in Microsoft Excel and other relevant analytical tools. * Strong numerical and ...

Hp

Data Solutions - Data Engineer

Spring, TX

$130K - $205K/yr

... Machine Learning Microsoft Azure Python (Programming Language) Scala (Programming Language) Scalability SQL (Programming Language) Cross-Org Skills Effective Communication Results Orientation ...

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Microsoft Machine Learning information

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How much do microsoft machine learning jobs pay per year?

As of Aug 22, 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 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 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 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 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 August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $40,666 per year, or $19.6 per hour.

AI Engineer II

Kirkland & Ellis LLP.

Houston, TX • On-site

$116K - $144K/yr

Full-time

Medical, Retirement, PTO

Re-posted 21 days ago

Job description

About Kirkland & Ellis
At Kirkland & Ellis, we don't just meet the standard for legal excellence - we set it. Our culture is built on teamwork, ingenuity and an unwavering commitment to continuous growth. We tackle the most sophisticated legal challenges with bold ideas and innovative solutions, powered by the exceptional experience and ambition of our 7,000+ people, including 4,000+ attorneys, across 24 offices worldwide. Our dedicated professionals share our lawyers' commitment to excellence and show up each day to do meaningful work that helps drive global business, investment and innovation forward.
What You'll Do
Are you passionate about building scalable, real-world AI solutions that transform how professionals work? As an AI Engineer II, you'll design, build, and optimize enterprise AI solutions that power innovation across Information Technology's Innovation Technology and Litigation Practice Technology (LPT) teams. Reporting to the AI Engineering Lead, you'll take ownership of the full AI solution lifecycle-from architecture and deployment to evaluation and continuous improvement-while collaborating closely with cross-functional stakeholders.
In this role, you'll combine technical depth with practical impact, helping deliver secure, production-ready solutions while also mentoring junior engineers and contributing to the evolution of AI capabilities across the organization.
  • Solution Architecture: Design scalable, secure AI architecture and translate business needs into actionable technical solutions and implementation plans.
  • AI Development & Deployment: Build and deploy AI models, large language model (LLM)-powered applications, and retrieval-augmented generation (RAG) pipelines across enterprise environments.
  • Quality & Evaluation: Create and manage evaluation frameworks including regression testing, benchmark datasets, and human-in-the-loop validation to ensure high-quality outputs.
  • Troubleshooting & Optimization: Diagnose and resolve complex issues across AI systems and integrations, performing root cause analysis and implementing long-term fixes.
  • Automation & Efficiency: Develop and enhance automated pipelines for AI delivery using tools like Azure DevOps, GitHub Actions, Python, and PowerShell.
  • Security & Responsible AI: Ensure solutions meet security standards, data governance requirements, and Responsible AI (RAI) guidelines while complying with regulatory expectations.
  • Collaboration & Mentorship: Partner with engineers, architects, and stakeholders across teams while mentoring junior team members and contributing to knowledge sharing.

What You'll Bring
  • Education: Bachelor's degree in Computer Science, Engineering, Data Science, or a related field; advanced degree or certifications (e.g., Microsoft Certified: Azure AI Engineer Associate) are a plus.
  • Experience: 3-5 years of hands-on experience in software engineering, cloud engineering, or AI/machine learning (AI/ML) development with a track record of delivering solutions end-to-end.
  • Programming & AI Development: Strong Python skills with experience building AI/ML models, APIs, and LLM or RAG-based solutions.
  • Cloud & Platform Expertise: Experience with Microsoft Azure AI services (e.g., Azure Machine Learning, Azure OpenAI Service, Azure AI Search) along with Docker and Kubernetes (AKS).
  • Engineering Practices: Familiarity with continuous integration and continuous delivery (CI/CD) pipelines, infrastructure as code (IaC) tools (Terraform or Bicep), and modern API/integration patterns.
  • Evaluation & Optimization: Understanding of AI evaluation techniques, including prompt testing, benchmarking, and performance tuning.
  • Technical Versatility: Experience with GPU environments, Linux systems, and frameworks such as LangChain, Semantic Kernel, or Azure Prompt Flow.
  • Collaboration & Mindset: Strong problem-solving skills, a collaborative approach, and a passion for mentoring and continuous improvement.

If you're excited to build impactful AI solutions, collaborate with forward-thinking teams, and drive innovation in this AI Engineer II role, we'd love to hear from you!
Compensation
The base salary range below represents the low and high end of the salary range for this position in Chicago. This range may differ based on your geographic location and cost of living considerations. At Kirkland & Ellis, we consider compensation more than just a base salary. We offer an exceptional range of flexible benefits including comprehensive healthcare, paid time off, and retirement. We also offer personal support and tailored learning and development opportunities all designed to help you realize your full potential both in life and at work.
Compensation Range:
Chicago: $116,000 - $144,000
How to Apply
Thank you for your interest in Kirkland & Ellis LLP. To complete an application and submit your resume, please click "Apply Now."
Don't meet every job requirement? That's okay! If you're excited about this role but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others at Kirkland.
Equal Employment Opportunity
All employment decisions, including the recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment (if necessary) are made without regard to the employee's race, color, creed, religion, sex, pregnancy or childbirth, personal appearance, family responsibilities, sexual orientation or preference, gender identity, political affiliation, source of income, place of residence, national or ethnic origin, ancestry, age, marital status, military veteran status, unfavorable discharge from military service, physical or mental disability, or on any other basis prohibited by applicable law. #LI-Hybrid #LI-SM1

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