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Machine Learning Manager Jobs in Texas (NOW HIRING)

Compunnel

Machine Learning Engineer

Plano, TX · On-site

Develop and manage data ingestion, transformation, and curation processes across Bronze, Silver ... Design and implement machine learning pipelines using Azure Databricks and related cloud ...

Avride

Machine Learning Engineer

Austin, TX · On-site

In this role, you will conduct experiments, manage large-scale datasets, and implement deep ... Develop and Optimize Machine Learning Models: Design, implement, and refine deep learning models to ...

Avride

Machine Learning Engineer

Austin, TX · On-site

In this role, you will conduct experiments, manage large-scale datasets, and implement deep ... Develop and Optimize Machine Learning Models: Design, implement, and refine deep learning models to ...

1872 Consulting

Machine Learning Engineer

Austin, TX

Machine Learning Engineer (Austin, TX) Striveworks is a leader in Machine Learning Operations for ... The product they offer allows their clients to monitor, manage, integrate, visualize, export, and ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

Specific tools, technologies, certifications, or travel requirements may be customized by the hiring manager RESPONSIBILITIES • Design and implement machine learning algorithms and models for ...

Shipwell

Machine Learning Engineer

Austin, TX · On-site +1

Our solution combines everything shippers need, from transportation management and visibility to ... About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building ...

Q2

Machine Learning Engineer

Austin, TX

Specific tools, technologies, certifications, or travel requirements may be customized by the hiring manager RESPONSIBILITIES Design and implement machine learning algorithms and models for various ...

Apple

Machine Learning Engineer

Austin, TX · On-site

... and product managers, to help develop and implement machine learning algorithms and testing ... workflows. 4+ years of related experience building high throughput scalable applications or ...

Cymertek

Machine Learning Engineer

San Antonio, TX

Machine Learning Engineer LOCATIONSan Antonio, TX 78208 CLEARANCETS/SCI Full Poly (Please note this ... Ability to collaborate in cross-functional teams (e.g., engineers, product managers) * Knowledge of ...

Apple

Machine Learning Engineer

Austin, TX

$132K - $244K/yr

... managers, to help develop and implement machine learning algorithms and testing workflows ... responsibilities":"Collaborate with other MLEs to build scalable, production-ready ML solutions ...

Apple

Machine Learning Engineer

Austin, TX

$132K - $244K/yr

... managers, to help develop and implement machine learning algorithms and testing workflows ... responsibilities":"Collaborate with other MLEs to build scalable, production-ready ML solutions ...

Apple

Machine Learning Engineer

Austin, TX

$132K - $244K/yr

... managers, to help develop and implement machine learning algorithms and testing workflows ... responsibilities":"Collaborate with other MLEs to build scalable, production-ready ML solutions ...

Visa

Director, Machine Learning

Austin, TX · On-site

We are currently looking for a Director of Machine Learning who will take the lead and manage several strategic initiatives within our organization. The right candidate will possess strong machine ...

Visa

Director, Machine Learning

Austin, TX · Hybrid

We are currently looking for a Director of Machine Learning who will take the lead and manage several strategic initiatives within our organization. The right candidate will possess strong machine ...

PayPal

Machine Learning Engineer

Austin, TX

We also help merchants connect with their customers, process exchanges and returns, and manage risk ... This job will validate and develop machine learning models and algorithms to solve complex problems.

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$47.5K

$76.1K

$109.9K

How much do machine learning manager jobs pay per year?

As of Jun 18, 2026, the average yearly pay for machine learning manager in Texas is $76,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $86,200.00 per year, depending on experience, location, and employer.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning executive or specialized researcher, often requiring advanced skills, extensive experience, and leadership responsibilities. These roles may involve overseeing AI strategy, managing teams, and working with cutting-edge tools and frameworks, and they are usually found in large tech companies or innovative organizations offering top-tier compensation.

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 machine learning manager?

A machine learning manager oversees teams developing and deploying machine learning models and algorithms. They coordinate projects, set strategic goals, and ensure technical quality, often requiring knowledge of data science, programming, and project management tools. Their role involves collaboration with data scientists, engineers, and stakeholders to implement AI solutions effectively.

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, data analysis, and programming languages like Python or TensorFlow. Salaries vary based on experience, location, and industry, but overall, it is considered a well-compensated role in the tech field.

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. Roles requiring high-level strategic thinking, creativity, and emotional intelligence—such as healthcare professionals, educators, and skilled tradespeople—are also likely to persist despite AI advancements. These jobs often involve tasks that are difficult for AI to replicate fully.

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 Texas? The most popular types of Machine Learning jobs in Texas are:
What are popular job titles related to Machine Learning Manager jobs in Texas? For Machine Learning Manager jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Machine Learning Manager jobs in Texas look for? The top searched job categories for Machine Learning Manager jobs in Texas are:
What cities in Texas are hiring for Machine Learning Manager jobs? Cities in Texas with the most Machine Learning Manager job openings:
Machine Learning Manager jobs near you
Machine Learning Engineer

Machine Learning Engineer

Compunnel

Plano, TX • On-site

Contractor

Posted 18 days ago

Job description

Job Summary
We are seeking a Machine Learning Engineer with strong expertise in machine learning model development, data engineering, and modern cloud-based analytics platforms. This role will focus on building ML-ready data architectures, developing scalable machine learning solutions, and supporting enterprise analytics initiatives. The ideal candidate will possess hands-on experience with Azure Databricks, Python-based model development, Medallion Architecture, and MLOps practices, along with the ability to collaborate effectively with business and technical stakeholders.
Key Responsibilities
  • Design, develop, and maintain machine learning solutions that support advanced analytics and predictive modeling initiatives.
  • Build and optimize ML-ready data pipelines and data architectures using Medallion Architecture principles.
  • Develop and manage data ingestion, transformation, and curation processes across Bronze, Silver, and Gold data layers.
  • Create scalable feature engineering workflows and production-grade machine learning assets.
  • Design and implement machine learning pipelines using Azure Databricks and related cloud technologies.
  • Leverage Delta Lake, MLflow, and workflow orchestration tools to operationalize machine learning models and data transformations.
  • Develop and maintain Python-based machine learning models, feature engineering processes, and MLOps automation solutions.
  • Build and optimize SQL transformations, views, and ELT pipelines to support analytics and machine learning workloads.
  • Design and maintain feature stores, semantic layers, and curated datasets that support enterprise reporting and machine learning initiatives.
  • Integrate machine learning outputs into analytics platforms, dashboards, and business intelligence solutions.
  • Collaborate with business stakeholders, technical teams, and leadership to translate business requirements into scalable data and machine learning solutions.
  • Establish engineering standards, best practices, and scalable development processes for machine learning and data engineering initiatives.
  • Monitor data quality, model performance, and operational effectiveness of machine learning solutions.

Required Qualifications
  • 5-7 years of hands-on experience in machine learning engineering and data engineering.
  • 10+ years of experience delivering enterprise-scale data, analytics, and machine learning solutions.
  • Strong experience building machine learning models and supporting model development using Python.
  • Extensive experience with Azure Databricks for machine learning, feature engineering, and data engineering workloads.
  • Deep understanding of Medallion Architecture, including Bronze, Silver, and Gold data layer design and implementation.
  • Experience designing ML-ready data architectures and scalable data engineering solutions.
  • Experience migrating workloads to Databricks and implementing modern data platform architectures.
  • Hands-on experience with Delta Lake, MLflow, and Databricks Workflows.
  • Strong proficiency in Python for model development, feature engineering, and MLOps automation.
  • Advanced SQL skills with experience building optimized transformations, views, and ELT pipelines.
  • Experience designing feature stores, semantic models, and machine learning-ready datasets.
  • Strong understanding of machine learning lifecycle management, data engineering best practices, and scalable architecture patterns.
  • Ability to lead technical initiatives and establish engineering standards and development practices.
  • Strong business acumen and ability to communicate effectively with technical and business stakeholders.
  • Experience working in collaborative, fast-paced environments that encourage experimentation and innovation.

Preferred Qualifications
  • Experience working within Microsoft Azure cloud environments.
  • Experience integrating machine learning outputs into analytics platforms and business intelligence solutions.
  • Experience designing dashboards and reporting solutions that surface machine learning insights, data quality metrics, and model performance indicators.
  • Familiarity with Power BI, including DAX, semantic modeling, and visualization best practices.
  • Experience supporting enterprise-scale analytics, data science, and AI initiatives.
  • Experience mentoring technical teams and providing technical leadership on machine learning and data engineering projects.
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About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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