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Machine Learning Part Time Jobs in Texas (NOW HIRING)

Assa Abloy

Principal Firmware Engineer

Austin, TX · On-site

... to machine learning. We are seeking an individual contributor who is a self-starter, has ... We are open to ideas, including flexible work arrangements, job sharing or part-time job seekers.

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Machine Learning Part Time information

See Texas salary details

$23.8K

$39.7K

$82K

How much do machine learning part time jobs pay per year?

As of May 29, 2026, the average yearly pay for machine learning part time in Texas is $39,673.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,300.00 and $42,900.00 per year, depending on experience, location, and employer.

What is a Machine Learning Part Time job?

A Machine Learning Part Time job is a role where individuals work on ML-related tasks with a flexible or reduced schedule. These roles can involve data preprocessing, model development, evaluation, or deployment, depending on the organization's needs. Part-time positions are often suitable for students, freelancers, or professionals looking to gain experience while managing other commitments. They may be remote or on-site and can vary in duration and workload.

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

To thrive as a Machine Learning Part Time professional, you need a strong foundation in statistics, programming (often Python or R), and knowledge of core machine learning algorithms, typically demonstrated through a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, Scikit-learn, or PyTorch and experience with data preprocessing tools or cloud platforms are commonly expected, and certifications like TensorFlow Developer can be beneficial. Effective communication, time management, and the ability to work independently are key soft skills for success in this role. These competencies enable you to efficiently contribute to projects, solve complex problems, and collaborate remotely or in hybrid team environments.

What are the typical responsibilities and expectations for a part-time machine learning role?

In a part-time machine learning position, you are generally expected to assist with data preprocessing, model development, and analysis of project results under the guidance of a senior data scientist or engineer. Your tasks might include cleaning datasets, coding algorithms, running experiments, and preparing reports or presentations for team meetings. The work is often project-based and requires regular communication with team members to ensure alignment on objectives and deliverables. This structure allows you to gain hands-on experience with real-world datasets and industry tools while maintaining a flexible schedule, making it ideal for students or professionals transitioning into the field.
More about Machine Learning Part Time jobs
What are the most commonly searched types of Machine Learning jobs in Texas? The most popular types of Machine Learning jobs in Texas are:
What are popular job titles related to Machine Learning Part Time jobs in Texas? For Machine Learning Part Time jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Machine Learning Part Time jobs in Texas look for? The top searched job categories for Machine Learning Part Time jobs in Texas are:
What cities in Texas are hiring for Machine Learning Part Time jobs? Cities in Texas with the most Machine Learning Part Time job openings:
Machine Learning Part Time jobs near you
Infographic showing various Machine Learning Part Time job openings in Texas as of May 2026, with employment types broken down into 100% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $39,673 per year, or $19.1 per hour.
Associate, Digital Finance Transformation - Data Scientist - Private Equity Performance Improvement

Associate, Digital Finance Transformation - Data Scientist - Private Equity Performance Improvement

Alvarez and Marsal

Dallas, TX

$90K - $130K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 29 days ago

Job description

Description

Digital Finance Transformation - Data Scientist:  Associate –  Private Equity Performance Improvement

About Alvarez & Marsal

Alvarez & Marsal (A&M) is a global consulting firm with over 10,000 entrepreneurial, action and results-oriented professionals in over 40 countries. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work—guided by A&M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity—are why our people love working at A&M.

The Team

A&M’s Private Equity Performance Improvement Services (PEPI) practice works with private equity held portfolio companies and provides our clients with solutions to preserve and generate value for their businesses. Our goal is to improve transparency to key drivers and business performance, to support increasing cash and EBITDA, and to provide benefits through hands-on involvement in our clients’ operations. Our job is to support PE firms to ensure their portfolio companies have credible plans and the ability to execute and deliver financial outcomes.

Our PEPI CFO Services practice includes the following pillar of services:

  • Strategic Finance and Liquidity Management
  • Accounting Advisory and Financial Reporting Solutions
  • Working Capital Optimization
  • Digital Finance Transformation
  • Interim Management

How you will contribute

We are seeking an Associate or Senior Associate to join our Digital Finance Transformation team within PEPI. This role focuses on helping private equity portfolio companies accelerate digital enablement within the finance function—modernizing data environments, automating processes, and building analytics-driven tools that create measurable business impact.

The ideal candidate blends strong technical expertise in Python, SQL, and modern data platforms with a solid understanding of finance and accounting operations. You will work directly with CFOs, Controllers, and FP&A leaders to design, implement, and operationalize digital solutions that improve performance, transparency, and scalability.

Qualifications

  • 3-6 plus years of professional experience; consulting or professional services experience preferred.
  • Advanced Python programming experience, including familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • Strong SQL skills and experience with modern data platforms (Snowflake, Databricks, Azure Synapse, Microsoft Fabric).
  • Experience with ETL/orchestration tools (Dagster, Temporal, Azure Data Factory, AWS Glue, Fivetran, Matillion).
  • Demonstrated ability to develop lightweight finance applications using Streamlit or Retool.
  • Solid understanding of finance and accounting concepts, including forecasting, working capital management, and three-statement modeling.
  • Exceptional communication and collaboration skills; proven ability to translate between finance and technology teams.
  • Ability to travel as required

#LI-LS1

Your journey at A&M

We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person’s unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career.

We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&M. The possibilities are endless for high-performing and passionate professionals.

The salary range is $90,000--$130,000 annually, dependent on several variables including but not limited to education, experience, skills, and geography. In addition, A&M offers a discretionary bonus program which is based on a number of factors, including individual and firm performance.  Please ask your recruiter for details.

Alvarez & Marsal recruits on an ongoing basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) that they are qualified for and that are of interest to them.

Full-time Positions and Part-time Positions Over 30 hours

Regular employees working 30 or more hours per week are also entitled to participate in Alvarez & Marsal Holdings’ fringe benefits consisting of healthcare plans, flexible spending and savings accounts, life, AD&D, and disability coverages at rates determined periodically as well as a 401(k) retirement savings plan. Provided the eligibility requirements are met, employees will also receive an annual discretionary contribution to their 401(k) retirement savings plan from Alvarez & Marsal. Additionally, employees are eligible for paid time off including vacation, personal days, seventy-two (72) hours of sick time (prorated for part time employees), ten federal holidays, one floating holiday, and parental leave. The amount of vacation and personal days available varies based on tenure and role type. Click here for more information regarding A&M’s benefits programs.

Inclusive Diversity

A&M’s entrepreneurial culture celebrates independent thinkers and doers who can positively impact our clients and shape our industry. The collaborative environment and engaging work—guided by A&M’s core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity—are the main reasons our people love working at A&M. Inclusive Diversity means we embrace diversity, and we foster inclusiveness, encouraging everyone to bring their whole self to work each day. It runs through how we recruit, develop employees, conduct business, support clients, and partner with vendors. It is the A&M way.

Equal Opportunity Employer

It is Alvarez & Marsal’s practice to provide and promote equal opportunity in employment, compensation, and other terms and conditions of employment without discrimination because of race, color, creed, religion, national origin, ancestry, citizenship status, sex or gender, gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, family medical history, genetic information or other protected medical condition, political affiliation, or any other characteristic protected by and in accordance with applicable laws. Employees and Applicants can find A&M policy statements and additional information by region here.

Unsolicited Resumes from Third-Party Recruiters

Please note that as per A&M policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that A&M will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.

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