ZipRecruiter

Log In

1

Microsoft Machine Learning Jobs (NOW HIRING)

iHerb

OR · On-site

$134K - $180K/yr

Job Summary: The Machine Learning Engineer will tackle challenging problems and create scalable ... Experience with Microsoft Office Suite (Word, Excel, PowerPoint) * Experience with Google Business ...

iHerb

Principal Machine Learning Engineer

$138K - $185K/yr

The Machine Learning Engineer will tackle challenging problems and create scalable machine learning ... Experience with Microsoft Office Suite (Word, Excel, PowerPoint) * Experience with Google Business ...

AvePoint

Senior Machine Learning Engineer

Jersey City, NJ · On-site

$190K - $220K/yr

... Microsoft, Google, Salesforce, and other collaboration environments. AvePoint's global channel ... Solution Design: Design, build, and deploy machine learning models leveraging structured and ...

next page

Showing results 1-20

All JobsMicrosoft Machine Learning Jobs

Microsoft Machine Learning information

See salary details

$25.5K

$42.6K

$88K

How much do microsoft machine learning jobs pay per year?

As of Jul 12, 2026, the average yearly pay for microsoft machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 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.
More about Microsoft Machine Learning jobs
What cities are hiring for Microsoft Machine Learning jobs? Cities with the most Microsoft Machine Learning job openings:
What are the most commonly searched types of Microsoft Machine Learning jobs? The most popular types of Microsoft Machine Learning jobs are:
What states have the most Microsoft Machine Learning jobs? States with the most job openings for Microsoft Machine Learning jobs include:
What job categories do people searching Microsoft Machine Learning jobs look for? The top searched job categories for Microsoft Machine Learning jobs are:
Microsoft Machine Learning jobs near you
Infographic showing various Microsoft Machine Learning job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Instructor, Microsoft AI Machine Learning, Simplilearn (Part time)

Instructor, Microsoft AI Machine Learning, Simplilearn (Part time)

Fullstack Academy

Remote

Part-time

Posted 12 days ago

Job description

About: Simplilearn
Simplilearn is the world's #1 online Bootcamp provider, enabling learners around the globe with rigorous and highly specialized training offered in partnership with world-renowned universities and leading corporations. We focus on emerging technologies and skills, such as data science, cloud computing, programming, and more - that are transforming the global economy. Our training is hands-on and immersive, including live virtual classes, integrated labs and projects, 24x7 support, and a collaborative learning environment. Over two million professionals and 2000 corporate training organizations across 150 countries have harnessed our award-winning programs to achieve their career and business goals.
Simplilearn has collaborated with Fullstack Academy to leverage its widespread footprint in the US region and partnerships with Top US universities to grow internationally.
Requirements
ABOUT THE ROLE
As an Instructor at Simplilearn, you will play a vital role in shaping the future of artificial intelligence and machine learning aspirants and professionals. Specifically, you will deliver content from our AI and Machine Learning Post Graduate Program, developed in collaboration with Microsoft. This program is designed to provide learners with comprehensive knowledge and hands-on experience in building intelligent systems using machine learning, deep learning, and neural networks.
In this role, you will lead live online classes, mentor students through lab exercises and real-world projects, and facilitate discussions that connect AI/ML concepts to practical business applications. By breaking down complex theoretical ideas into easy-to-understand modules, you'll help learners become proficient in the tools and techniques that drive AI innovation across industries.
This is a part-time, remote role. All sessions are conducted live in a fully online, interactive format.
RESPONSIBILITIES
In this role, you will:
  • Create a positive, professional and inclusive learning environment, by:
  • Teaching select lessons in accordance with learning objectives and fidelity to session plans provided by Simplilearn
  • Employing strategies known to meet the needs of adult learners, including leveraging tech tools, instructional best practices and connecting content to the real world by sharing industry insights and professional experiences
  • Managing regular communication with students to align on progress,expectations, celebrate milestones and address concern areas
  • Providing individualized student support during synchronous class sessions and outside class synchronously during office hours and asynchronously through timely communication
  • Evaluate student performance and progression toward competencies based on course deliverables and course rubrics, by:
  • Providing constructive and timely feedback to students in the cohort
  • Assisting in the management of Performance Action Plans for individual students who need additional support
  • Serve as role model for students and as an ambassador for our brand, by:
  • Exhibiting professionalism and an ethical and empathetic approach when engaging with Simplilearn staff, students, and the public
  • Promoting student retention and amplify student satisfaction by creating a positive classroom culture for the Learning Team, communicating timely with students and leveraging effective interventions and sharing of resources
  • Encouraging teamwork and seek feedback for continuous improvement

QUALIFICATIONS
You are a great candidate for this role if you have:
  • 5+ years of hands-on experience in Machine Learning (ML) and Deep Learning (DL), including developing and deploying models using Python, TensorFlow, PyTorch, or other ML frameworks
  • A deep understanding of machine learning algorithms and concepts, such as supervised and unsupervised learning, neural networks, support vector machines, decision trees, and reinforcement learning
  • Solid background in mathematical foundations of machine learning, including probability theory, linear algebra, optimization, and statistical analysis
  • Experience with the full ML lifecycle, from data pre-processing, feature engineering, and model selection, to model evaluation and deployment in real-world applications
  • Proficiency with the ML stack, including libraries like Pandas, NumPy, Scikit-learn, Keras, and working knowledge of big data tools such as Spark or Hadoop (optional but preferred)
  • Experience working with real-world data, including handling structured and unstructured datasets, data cleaning, and performing exploratory data analysis (EDA)
  • Previous teaching or mentoring experience, ideally in an online learning environment
  • A passion for teaching and the ability to simplify complex AI/ML topics to make them accessible to learners at various skill levels
  • Strong communication and presentation skills (verbal and written), with a focus on engaging and student-centric teaching methods
  • Professionalism, integrity, and empathy in all learner and team interactions.

Benefits
Compensation:
The expected compensation for this role is $50 - $55 per hour for candidates who fulfill the qualifications listed. Candidates with advanced qualifications or domain expertise are encouraged to apply as well. All final offers will be determined based on individual experience, skillset, and alignment with the program needs. Not all candidates will qualify for the top of the salary range.

Apply