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

Software Engineer in Data Science

Houston, TX · On-site

$109K - $131K/yr

... science and machine learning team. The role focuses on supporting GenAI tools and involves ... Manage relationships and priorities across projects, focused on maximising value • Actively ...

... Management and Analysis * Work with senior team members to collect, clean, and preprocess data for analysis. * Assist in the development and implementation of machine learning algorithms and ...

Project Manager, AI and Data Science

Houston, TX · Hybrid

$49.50 - $66.75/hr

On the platform side, you will work across AWS services to support building Machine Learning and Generative AI products. On the SaaS side, you will lead pilots and rollouts, change management ...

On the platform side, you will work across AWS services to support building Machine Learning and Generative AI products. On the SaaS side, you will lead pilots and rollouts, change management ...

Implement CI/CD pipelines and manage code repositories using GitHub Enterprise. * Design and optimize mathematical programming and machine learning models for real-world applications like Incentive ...

C. is a company focused on AI and machine learning solutions, and they are seeking an AI ML ... Responsibilities : • Work closely with product managers, data scientists, ML engineers, and other ...

Participate in and manage multiple projects which will require interaction with vendors, division personnel and IS team * Analytical skills in mathematics, statistics and machine learning * Ability ...

... as machine learning, optimization, and cluster analysis. The incumbent will lead and help to ... Manage use case design and build teams on day-to-day basis, providing guidance and feedback as they ...

Showing results 41-60

Machine Learning Manager information

See Houston, TX salary details

$48.7K

$78K

$112.7K

How much do machine learning manager jobs pay per year?

As of Jul 24, 2026, the average yearly pay for machine learning manager in Houston, TX is $78,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $88,300.00 per year, depending on experience, location, and employer.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and their role involves understanding algorithms, data processing, and model deployment. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and overseeing complex AI solutions, making complete replacement unlikely in the near term.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning manager or director, often involving leadership, advanced technical skills, and strategic responsibilities. These roles usually require extensive experience, expertise in AI tools and frameworks, and may include performance-based bonuses or stock options that contribute to the total compensation. Such salaries are common in large tech companies or organizations with significant AI investments.

What are the key skills and qualifications needed to thrive as a Machine Learning Manager, and why are they important?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

Is ML a high paying job?

Machine Learning Managers typically earn high salaries due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Compensation varies based on experience, location, and industry, but it is generally above average compared to many other tech roles.

Which 3 jobs will survive AI?

Machine Learning Managers will continue to be essential as they oversee AI projects, interpret complex data, and coordinate teams, tasks that require strategic thinking and human judgment. Roles that involve creative problem-solving, emotional intelligence, and domain-specific expertise, such as healthcare professionals, educators, and skilled tradespeople, are also likely to persist despite AI advancements. These jobs rely on human intuition and adaptability that AI cannot fully replicate.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
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 cities near Houston, TX are hiring for Machine Learning Manager jobs? Cities near Houston, TX with the most Machine Learning Manager job openings:
Infographic showing various Machine Learning Manager job openings in Houston, TX 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 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $78,029 per year, or $37.5 per hour.
AI/ML Computational Science Specialist

AI/ML Computational Science Specialist

Accenture

Houston, TX • On-site

$70K - $205K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

51st of 454 rated business services


Job description

We Are:
The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI - backed by a $3B investment and commitment to our people to do industry-defining work.

With over 45,000 professionals dedicated to Data & AI, Accenture's Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You Are:

As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real-world problems into practical, efficient, and scalable AI and Machine Learning solutions. You will be responsible for developing and implementing cutting-edge artificial intelligence solutions that drive innovation and enhance performance. You will collaborate with cross-functional teams and leverage your expertise in machine learning, deep learning, and data analysis to solve complex problems and deliver impactful AI-driven solutions.

Position Responsibilities:

  • Collaborate with stakeholders to engineer innovative solutions for new system roll-outs, enhancements, and maintenance of existing applications, ensuring adherence to programming standards.

  • Develop system specifications, create test plans, and conduct project and issue management for the assigned scope of work.

  • Design/Build solutions using AI services and machine learning models to address unique use cases, employing cutting-edge techniques and methodologies.

  • Utilize machine learning and advanced AI techniques to extract valuable insights from complex datasets and solve intricate problems.

  • Deploy trained models into production environments, ensuring scalability, reliability, and optimal performance, while integrating seamlessly with existing systems and applications.

  • Design and implement agents and multi-agent architectures to optimize client workflows.

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Job Qualifications Here's what you need:

  • Minimum of 3 years of full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science

  • Minimum of 2 years of experience in machine learning, deep learning, or demonstrated proficiency in Natural Language Processing (NLP)

  • Minimum of 2 years of experience with AI/ML and cognitive services provided by at least one cloud service provider

  • Minimum of 1 year of experience in building Conversational AI applications using cloud-based services and in orchestrating AI/ML services for building a complete solution

  • Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience)

Bonus points if you have:

  • Hands-on involvement with speech-to-text, text-to-speech, and chatbot technologies

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 06/25/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Accenture

Role Location Annual Salary Range

California $70,350 to $205,800

Cleveland $59,100 to $164,600

Colorado $63,800 to $177,800

District of Columbia $68,000 to $189,300

Illinois $59,100 to $177,800

Maine $54,400 to $151,400

Maryland $63,800 to $177,800

Massachusetts $63,800 to $189,300

Minnesota $63,800 to $177,800

New York $66,300 to $205,800

New Jersey $68,000 to $205,800

Virginia $59,100 to $189,300

Washington $80,200 to $189,300

About Accenture

Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

What We Believe

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities.Read more here

Requesting An Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us anemailor speak with your recruiter.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the Accenture Equal Opportunity Statement

Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, pleaseclick herefor additional important information.

Please read Accenture'sRecruiting and Hiring Statementfor more information on how we process your data during the Recruiting and Hiring process.


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