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Machine Learning Analyst Jobs in Austin, TX (NOW HIRING)

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Summary The Machine Learning Engineer designs and evolves enterprise AI systems and architectures ... Identify, analyze, and resolve gaps related to scalability, data readiness, interoperability, and ...

Summary The Machine Learning Engineer designs and evolves enterprise AI systems and architectures ... Identify, analyze, and resolve gaps related to scalability, data readiness, interoperability, and ...

Senior Machine Learning Engineer

Austin, TX · On-site +1

$121K - $160K/yr

Developing machine learning models and custom analytics that are applied to image, video, text, geospatial, time series, and structured data * Orchestrating and automating complex data engineering ...

We are looking for visionary Machine Learning Engineers to join our Applied Group, where you'll ... Excellent problem-solving and analytical skills, with a proactive approach to challenges. * Ability ...

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

... scientists/analysts, and product managers, to help develop and implement machine learning ... algorithms and testing workflows. Bachelor's degree in Computer Science, Statistics, Mathematics ...

... Data analysts/Data Scientists. Who Should Apply Recent IT graduates looking to make their careers ... NLP, Deep Learning, Data visualization, Scala, Django. Our candidates always get projects with well ...

... scientists/analysts, and product managers, to help develop and implement machine learning ... algorithms and testing workflows.","responsibilities":"Collaborate with other MLEs to build ...

... scientists/analysts, and product managers, to help develop and implement machine learning ... algorithms and testing workflows.","responsibilities":"Collaborate with other MLEs to build ...

... scientists/analysts, and product managers, to help develop and implement machine learning ... algorithms and testing workflows.","responsibilities":"Collaborate with other MLEs to build ...

Sr Machine Learning Engineer

Austin, TX · On-site

$55.25 - $73/hr

Develop and optimize machine learning models for various applications ... Preprocess and analyze large datasets to extract meaningful insights. * Deploy ML solutions into ...

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Showing results 1-20

Machine Learning Analyst information

See Austin, TX salary details

$30.2K

$71.4K

$126.8K

How much do machine learning analyst jobs pay per year?

As of Jun 10, 2026, the average yearly pay for machine learning analyst in Austin, TX is $71,439.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,200.00 and $84,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Learning Analyst position, and why are they important?

To thrive as a Machine Learning Analyst, you need strong analytical skills, a solid grasp of statistics and programming languages such as Python or R, and typically a degree in computer science, mathematics, or a related field. Experience with machine learning frameworks like TensorFlow or scikit-learn, data visualization tools such as Tableau, and relevant certifications (e.g., Google Data Analytics) are often expected. Excellent problem-solving, collaboration, and communication abilities help you explain complex results and work effectively with cross-functional teams. Together, these skills ensure you can accurately interpret data, build robust models, and present actionable insights that drive organizational growth.

What is a Machine Learning Analyst job?

A Machine Learning Analyst is responsible for analyzing data, building models, and extracting insights using machine learning techniques. They work with large datasets, clean and preprocess data, and apply statistical methods to drive business decisions. Their role often involves collaborating with data scientists, engineers, and business teams to optimize predictive models. Strong programming skills in Python or R, knowledge of machine learning frameworks, and experience with data visualization are essential for this role.

What are typical projects or tasks a Machine Learning Analyst handles on a daily basis?

Machine Learning Analysts commonly work on tasks such as collecting, cleaning, and analyzing large datasets, developing predictive models, and interpreting results to generate actionable business insights. They may also collaborate closely with data engineers, software developers, and business stakeholders to translate business problems into data-driven solutions. Regular responsibilities include preparing data visualizations, running experiments to improve model performance, and documenting their findings for non-technical audiences. This hands-on work in a team-oriented environment ensures that their analyses directly contribute to key business decisions and continuous improvement.

What job categories do people searching Machine Learning Analyst jobs in Austin, TX look for? The top searched job categories for Machine Learning Analyst jobs in Austin, TX are:
What cities near Austin, TX are hiring for Machine Learning Analyst jobs? Cities near Austin, TX with the most Machine Learning Analyst job openings:
Machine Learning Tutor

Machine Learning Tutor

Varsity Tutors

Austin, TX • Remote

$40/hr

Part-time

Posted 7 days ago


Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

13th of 21 rated private schools and tutoring


Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Machine Learning Tutor
  • Advanced Subject Mastery: Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep learning fundamentals. Ability to explain linear regression, decision trees, random forests, support vector machines, and neural network architectures while preparing students for data science roles and advanced AI coursework.
  • Conceptual Teaching & Problem-Solving: Skilled at breaking down model training pipelines, hyperparameter tuning, and evaluation metric interpretation. Guides students through data preprocessing, feature selection, building and comparing classification and regression models, implementing clustering algorithms, and interpreting confusion matrices and ROC curves. Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics.
  • Curriculum Awareness & Adaptive Instruction: Familiar with machine learning curricula and common challenges such as understanding bias-variance tradeoff, selecting appropriate algorithms for problem types, and interpreting model performance beyond accuracy. Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to support students from introductory statistics-based ML through advanced deep learning and deployment.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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