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

Accenture

AI Architect, Manager

Houston, TX · On-site +1

$60.25 - $79.25/hr

... machine learning - or an equivalent combination of education and experience. You're likely to be a MSFT Certified Data Science Associate and you have been in a similar professional position for ...

Pwc

Finance Data and AI Senior Associate

Houston, TX

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Finance Management Level Senior Associate & Summary At ... machine learning - Executing finance process analytics for performance improvement - Owning ...

Deloitte

Azure AI Security Manager

Houston, TX · On-site

... Machine Learning, Azure Cognitive Services, Azure AI Studio), Azure Platform & Infrastructure ... Azure AI Engineer Associate, Azure Security Engineer Associate, SC-100/200/300/400, or SC-900.

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Associate Machine Learning information

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$30.1K

$127.1K

$300.3K

How much do associate machine learning jobs pay per year?

As of May 31, 2026, the average yearly pay for associate machine learning in Houston, TX is $127,070.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,900.00 and $192,900.00 per year, depending on experience, location, and employer.

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

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by Associate Machine Learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

What does an Associate Machine Learning Engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.

What is the difference between Associate Machine Learning vs Data Scientist?

AspectAssociate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

What are the most commonly searched types of Machine Learning jobs in Houston, TX? The most popular types of Machine Learning jobs in Houston, TX are:
What are popular job titles related to Associate Machine Learning jobs in Houston, TX? For Associate Machine Learning jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Associate Machine Learning jobs in Houston, TX look for? The top searched job categories for Associate Machine Learning jobs in Houston, TX are:
What cities near Houston, TX are hiring for Associate Machine Learning jobs? Cities near Houston, TX with the most Associate Machine Learning job openings:
Associate Machine Learning jobs near you
Cyber Strategy, Risk & Compliance - AI Engineering for Cybersecurity - Senior Associate

Cyber Strategy, Risk & Compliance - AI Engineering for Cybersecurity - Senior Associate

Pwc

Houston, TX

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

20th of 57 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Cybersecurity & Privacy

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in risk and compliance focus on maintaining regulatory compliance and managing risks for clients, providing advice, and solutions. They help organisations navigate complex regulatory landscapes and enhance their internal controls to mitigate risks effectively.
In regulatory risk compliance at PwC, you will focus on confirming adherence to regulatory requirements and mitigating risks for clients. You will provide guidance on compliance strategies and help clients navigate complex regulatory landscapes.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

  • Respond effectively to the diverse perspectives, needs, and feelings of others.
  • Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
  • Use critical thinking to break down complex concepts.
  • Understand the broader objectives of your project or role and how your work fits into the overall strategy.
  • Develop a deeper understanding of the business context and how it is changing.
  • Use reflection to develop self awareness, enhance strengths and address development areas.
  • Interpret data to inform insights and recommendations.
  • Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

The Opportunity

As part of the Cyber Strategy, Risk & Compliance team, you will be at the forefront of transforming cybersecurity for our clients through innovative, AI-driven solutions. As a Senior Associate, you will analyze complex problems, mentor junior team members, and build meaningful client relationships while navigating the intricacies of cybersecurity challenges. This role offers the chance to work with advanced technologies, empowering you to enhance your technical knowledge and personal brand in a rapidly evolving field.

Responsibilities

- Develop, test, and deploy AI/ML systems and applications for cybersecurity use cases, such as threat detection, risk management, and security operations automation

- Implement and maintain data pipelines for model training and inference on cloud platforms like AWS and GCP

- Build proofs-of-concept and prototypes for innovative agentic and generative AI systems to solve specific client security problems

- Write clean, high-quality, and production-ready code and documentation for AI-powered security solutions.

- Collaborate with senior team members to contribute to the design and architecture of AI-enabled security solutions

- Assist in developing and presenting technical findings and the results of your work to both technical and non-technical stakeholders.

What You Must Have

- Bachelor's Degree

- At least 3 years of experience in software development or AI/ML engineering

What Sets You Apart

- Master's Degree in software development, AI/ML engineering, or another relevant technical field preferred

- Demonstrating proficiency in Python and AI/ML frameworks

- Building applications with LLM orchestration frameworks

- Implementing cloud-native AI services on AWS or GCP

- Gaining experience in a cybersecurity-related domain

- Contributing to open-source projects in AI or cybersecurity

- Utilizing ML Ops tools and practices such as Docker, Kubemetes, CI/CD for models

- Working with AI-enabled automation platforms such as Swimlane, Torq or Tines

- Professional certifications in cloud platforms preferred (e.g. (e.g., AWS Certified Machine Learning - Specialty, Google Professional Machine Learning Engineer)

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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