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Ml Engineer Jobs in Spring, TX (NOW HIRING)

Goldenpick Technologies LLC

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

AI/ML Model Development * Design, develop, and optimize machine learning and deep learning models ... Data Engineering & Processing (Optional) * Collect, clean, and preprocess structured and ...

Bespoke Labs

Machine Learning Engineer

Houston, TX

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Houston, TX · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Lorven Technologies

Sr AI Engineer

Houston, TX · On-site

$96K - $132K/yr

AI/ML Model Development Design, develop, and optimize machine learning and deep learning models ... Data Engineering & Processing (Optional) * Collect, clean, and preprocess structured and ...

Munich Re

Data Scientist, AI

Houston, TX · On-site +1

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments and conducting testing. * Participate in the development of modeling presentations and present ...

Bot Auto

Senior ML/RL Engineer, Behavior Planning

Houston, TX · On-site

$99K - $137K/yr

Bot Auto is revolutionizing the transportation of goods with autonomous trucks, and they are seeking a Senior ML/RL Engineer to develop their unified behavioral architecture. This role involves ...

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All JobsMl Engineer JobsMl Engineer Jobs in Spring, TX

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:
Ml Engineer jobs near you
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.

AI Engineer -Remote

NAVA Software Solutions

Houston, TX • On-site, Remote

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

NAVA Software is looking for an AI Engineer
Details:
AI Engineer
Location: 100% Remote
Duration: 6+ month contract-to-hire
Requirement:
  • Implemented GraphRag in AI/ML products (production deployments).
  • Strong Azure cloud experience.
  • Python/PySpark, Java programming.
  • Experience building UI with React/Angular, HTML, CSS, JavaScript.
  • Knowledge graph implementation (Neo4j preferred).
  • LLM optimization & improved response handling.

Responsibilities:
  • Design, develop, and deploy Decision Intelligence & AI-enabled products.
  • Work in Agile teams with engineers, scientists, product managers.
  • Guide architecture, infrastructure, and tools for AI/ML products.
  • Develop rapid prototypes and scale solutions in production.
  • Build MLOps pipelines for structured/unstructured data.
  • Implement observability, monitoring, and compliance with HIPAA/security standards.
  • Mentor engineers and drive innovation.

Preferred Skills:
  • Contributions to open-source AI/ML projects.
  • Healthcare industry knowledge.
  • Experience with medical terminology & clinical workflows.
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

Social media

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