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Ml Engineer Jobs in Spring, TX (NOW HIRING)

ERP AI Engineer - Manager

Houston, TX · On-site

$99K - $232K/yr

As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships, and translate complex business challenges into AI-driven strategies and solutions. This role offers ...

AI/ML Data Engineer - Landmark

Houston, TX · On-site

$98K - $118K/yr

SQL and Data Modeling * ETL / Data Pipeline engineering * AI/ML tools and frameworks * Cloud AI services/platforms * Full-stack development (preferably Angular/Node.js or equivalent) * Strong ...

AI/ML Data Engineer - Landmark

Houston, TX

$109K - $131K/yr

SQL and Data Modeling * ETL / Data Pipeline engineering * AI/ML tools and frameworks * Cloud AI services/platforms * Full-stack development (preferably Angular/Node.js or equivalent) * Strong ...

AI/ML Data Engineer - Landmark

Houston, TX · On-site

$98K - $118K/yr

SQL and Data Modeling * ETL / Data Pipeline engineering * AI/ML tools and frameworks * Cloud AI services/platforms * Full-stack development (preferably Angular/Node.js or equivalent) * Strong ...

AI/ML Data Engineer - Landmark

Houston, TX

$109K - $131K/yr

SQL and Data Modeling * ETL / Data Pipeline engineering * AI/ML tools and frameworks * Cloud AI services/platforms * Full-stack development (preferably Angular/Node.js or equivalent) * Strong ...

They are seeking a mid-career MLOps / AI Ops Engineer to support the deployment, monitoring, and ... ML models for upstream use cases (e.g., production optimization, subsurface modeling, drilling ...

AI Architect

Houston, TX

$60.75 - $78.25/hr

We are seeking a technically deep and visionary AI/ML Engineer to lead the development and deployment of agentic AI solutions and drive enterprise-wide data standardization. This role is pivotal to ...

The AI Platform Engineer will own the Databricks AI/ML platform layer, drive enterprise AI governance, review and remediate shadow AI solutions, and directly deliver automation use cases with ...

AI Architect

Houston, TX · On-site

$60.75 - $78.25/hr

We are seeking a technically deep and visionary AI/ML Engineer to lead the development and deployment of agentic AI solutions and drive enterprise-wide data standardization. This role is pivotal to ...

We are seeking a midcareer MLOps / AI Ops Engineer to support the deployment, monitoring, and ... Operationalize ML models for upstream use cases (e.g., production optimization, subsurface modeling ...

We are seeking a mid-career MLOps / AI Ops Engineer to support the deployment, monitoring, and ... Operationalize ML models for upstream use cases (e.g., production optimization, subsurface modeling ...

Expert AI Engineer

Houston, TX · On-site

$147K - $210K/yr

AI Research & Innovation - Stay updated with the latest AI/ML advancements, exploring new ... Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks. * Strong problem ...

Gen AI/ML Solution Architect

Houston, TX · On-site

$60.25 - $79.25/hr

Lead end-to-end Gen AI/ML solution architecture -- from problem definition, data acquisition, and feature engineering to model deployment and monitoring. * Collaborate with business stakeholders to ...

Overview Seeking an AI Engineer to design, develop, and deploy scalable enterprise AI solutions ... Build and deploy AI/ML, LLM, and RAG-based solutions. * Design secure, scalable AI architectures.

Showing results 21-40

Ml Engineer information

See Spring, TX salary details

$29.4K

$79.4K

$126.4K

How much do ml engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for ml engineer in Spring, TX is $79,363.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,200.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an ML engineer?

To thrive as an ML Engineer, you need a solid background in mathematics, statistics, computer science, and experience with machine learning algorithms, often supported by a degree in a related field. Familiarity with programming languages like Python or R, ML frameworks such as TensorFlow or PyTorch, and data processing tools is typically required, with relevant certifications being a plus. Strong problem-solving, critical thinking, and communication skills help you translate complex data insights into actionable solutions and work effectively in teams. These abilities ensure accurate model development, effective deployment, and successful collaboration on data-driven projects.

Are machine learning engineers still in demand?

Machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. They typically require skills in programming, data analysis, and frameworks like TensorFlow or PyTorch, and often find opportunities in tech, finance, healthcare, and other sectors investing in AI solutions.

What is an ML engineer?

ML Engineers, or Machine Learning Engineers, are professionals who design, build, and deploy machine learning models into production systems. They bridge the gap between data science and software engineering, ensuring that machine learning solutions are scalable, reliable, and efficient. ML Engineers work with large datasets, develop algorithms, and optimize models for performance. They also collaborate with data scientists, software developers, and business stakeholders to solve real-world problems using artificial intelligence.

What is the difference between Ml Engineer vs Data Scientist?

AspectML EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related fields; knowledge of ML frameworksBachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDevelops, deploys, and maintains ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, startups, and enterprises deploying ML solutionsResearch institutions, tech firms, and industries relying on data analysis

While both roles involve working with data and machine learning, ML Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights to inform business decisions. The roles often overlap but differ in their core responsibilities and focus areas.

What are some common challenges ML engineers face when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring models remain accurate over time as data changes (known as data drift), optimizing models for speed and scalability, and integrating models seamlessly with existing software systems. Additionally, maintaining model performance in real-world environments can require continuous monitoring, retraining, and close collaboration with data engineers and DevOps teams. Addressing these challenges typically involves robust testing, using automated pipelines, and staying up-to-date with the latest MLOps best practices.
What are popular job titles related to Ml Engineer jobs in Spring, TX? For Ml Engineer jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Ml Engineer jobs in Spring, TX look for? The top searched job categories for Ml Engineer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Ml Engineer jobs? Cities near Spring, TX with the most Ml Engineer job openings:
Infographic showing various Ml Engineer job openings in Spring, TX as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $79,363 per year, or $38.2 per hour.

ERP AI Engineer - Manager

Pwc

Houston, TX • On-site

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Oracle

Management Level

Manager

Job Description & Summary

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives.
In Oracle data and analytics at PwC, you will utilise Oracle's suite of tools and technologies to work with data and derive insights from it. You will be responsible for tasks such as data collection, data cleansing, data transformation, data modelling, data visualisation, and data analysis using Oracle tools like Oracle Database, Oracle Analytics Cloud, Oracle Data Integrator, Oracle Data Visualization, and Oracle Machine Learning.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Analyse and identify the linkages and interactions between the component parts of an entire system.
Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
Develop skills outside your comfort zone, and encourage others to do the same.
Effectively mentor others.
Use the review of work as an opportunity to deepen the expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
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 Data and Analytics Engineering team, you will serve as both a technical leader and a trusted advisor to clients, combining AI/ML knowledge with business acumen to design and deliver AI solutions that drive measurable client outcomes. As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships, and translate complex business challenges into AI-driven strategies and solutions. This role offers the chance to shape AI solution architecture while driving innovation and excellence in client engagements.
Responsibilities
- Lead and mentor teams of data scientists and ML engineers
- Manage client relationships and promote satisfaction with deliverables
- Translate intricate business challenges into AI-driven strategies
- Design and implement AI solution architectures
- Drive innovation and excellence in client engagements
- Analyze data to derive actionable insights and solutions
- Collaborate with stakeholders to align on project objectives
- Uphold exceptional standards of quality and integrity in every task
What You Must Have
- Bachelor's Degree
- At least 7 years of experience in AI/ML engineering, data science, or a related technical role
What Sets You Apart
- Master's Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related field preferred
- Experience with Large Language Models and prompt engineering
- Building scalable, cloud-native microservices and containerized deployments
- Proficiency with MLOps tooling and CI/CD pipelines for ML
- Experience with vector databases and semantic search architectures
- Translating complex business problems into AI solution designs
- Contributing to business development and proposal writing
- Cloud certifications in AI/ML or solutions architecture preferred
- Familiarity with Responsible AI principles and bias mitigation practices

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. 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.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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