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Machine Learning Engineer Jobs in Tyler, TX (NOW HIRING)

AI Architect and Program Manager

Van, TX

$53.25 - $70.25/hr

Generative AI, Data Science and Machine Learning, and AI-Enabled Applications; translate approved ... Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related ...

... engineering disciplines while helping to shape the future of electric heavy machinery design. Our culture promotes learning and development, encouraging every team member to expand their skills and ...

... engineering disciplines while helping to shape the future of electric heavy machinery design. Our culture promotes learning and development, encouraging every team member to expand their skills and ...

... engineering disciplines while helping to shape the future of electric heavy machinery design. Our culture promotes learning and development, encouraging every team member to expand their skills and ...

... engineering disciplines while helping to shape the future of electric heavy machinery design. Our culture promotes learning and development, encouraging every team member to expand their skills and ...

Engineer

Tyler, TX · On-site

Engineers will be provided an opportunity to expand their technical knowledge of the distribution system. They will assist and/or lead project teams to create high-quality designs for new projects ...

Engineer

Tyler, TX · On-site

Engineer ID: 1768 Location: Tyler, TX Department: Engineering More about this job > Description In-Office Position General Summary : Engineers will be provided an opportunity to expand their ...

P&C Lead Test Engineer

Tyler, TX · On-site

$96K - $127K/yr

The P&C Lead Test Engineer is responsible for leading the testing, commissioning, validation, and ... Build an environment focused on learning, questioning attitude, and continuous improvement.

Instrumentation Engineer

Tyler, TX · On-site

$110 - $150/hr

Overview Cajun Engineering Solutions is seeking a detail-oriented Instrumentation Engineer with a strong focus on specification, requisitioning, and technical evaluation of instrumentation equipment ...

Lead Lab Engineer

Tyler, TX · On-site

$96K - $127K/yr

This Lead Lab Engineer provides technical support and supervision in the R&D Engineering Lab for a state-of-the-art testing facility customized for Residential HVAC applications. This role will ...

Lead Lab Engineer

Tyler, TX · On-site

$96K - $127K/yr

This Lead Lab Engineer provides technical support and supervision in the R&D Engineering Lab for a state-of-the-art testing facility customized for Residential HVAC applications. This role will ...

Lead Lab Engineer

Tyler, TX · On-site

$96K - $127K/yr

This Lead Lab Engineer provides technical support and supervision in the R&D Engineering Lab for a state-of-the-art testing facility customized for Residential HVAC applications. This role will ...

Lead Lab Engineer

Tyler, TX · On-site

$96K - $127K/yr

This Lead Lab Engineer provides technical support and supervision in the R&D Engineering Lab for a state-of-the-art testing facility customized for Residential HVAC applications. This role will ...

Partners closely with Operations, Process Engineering, IT/OT, and vendors to lead APC/RTO design, testing, and implementation activities, ensuring solutions are operationally robust, maintainable ...

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Machine Learning Engineer information

See Tyler, TX salary details

$29.7K

$121.3K

$182.3K

How much do machine learning engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for machine learning engineer in Tyler, TX is $121,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,600.00 and $146,100.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

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

What job categories do people searching Machine Learning Engineer jobs in Tyler, TX look for?

The top searched job categories for Machine Learning Engineer jobs in Tyler, TX are:

What cities near Tyler, TX are hiring for Machine Learning Engineer jobs?

Cities near Tyler, TX with the most Machine Learning Engineer job openings:

Infographic showing various Machine Learning Engineer job openings in Tyler, TX as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $121,343 per year, or $58.3 per hour.

AI Architect and Program Manager

Van, TX

Van Andel Institute
201 - 500 employees

$53.25 - $70.25/hr

Full-time

Posted 4 days ago


Job description

Van Andel Institute (VAI), a world-class biomedical research institute, located in Grand Rapids, Michigan, is dedicated to improving human health. We are pioneers in the fight against cancer, Parkinson's, and other diseases. We are committed to inspiring the next generation of scientists and educators.

Position Summary

Van Andel Institute is seeking an AI Architect and Program Manager to lead the Institute's enterprise AI program and technical architecture. Reporting to the Chief Information Officer, this role sits at the intersection of strategy, architecture, and execution - translating VAI's AI strategy into a well-governed portfolio of initiatives and the secure, scalable technical foundations that support them.

This is a rare opportunity to build an AI capability from the ground up in a mission-driven organization, shaping how artificial intelligence accelerates world-class biomedical research, science education, and the operations that support them.

What You'll Do

AI Program Leadership

  • Facilitate and steward the Institute's AI strategy and multi-year roadmap - owned by the AI Governance Council - across three AI pillars: Generative AI, Data Science and Machine Learning, and AI-Enabled Applications; translate approved strategy into executable plans aligned to IT strategic pillars and institutional priorities
  • Own and prioritize the AI use-case intake pipeline; evaluate opportunities across Research, Education, and Operations for value, feasibility, and fit
  • Lead the Generative AI Center of Excellence and curate the approved-tool toolkit as an enterprise program
  • Drive AI adoption and change management using a structured methodology (ADKAR) in partnership with functional teams across the Institute
  • Serve as the primary liaison to the AI Governance Council, preparing and presenting materials for oversight and approval
  • Track and report AI value, adoption, and outcomes to IT leadership and the Institute's executive and advisory governance bodies
  • Define the scope, workload, and criteria justifying future dedicated AI resources, and lead them as the capability scales

AI Architecture and Enablement

  • Define the AI reference architecture and design patterns spanning the three AI pillars
  • Architect the data and machine learning platform foundations required to operationalize AI securely and at scale
  • Establish secure, reusable build patterns for AI-enabled applications and integrations with enterprise systems and research data
  • Lead technical evaluation of AI tools, models, and vendors in coordination with Cybersecurity
  • Embed responsible-AI design practices - security, privacy, data protection, and monitoring - as first-class architectural requirements, consistent with a secure-by-design approach
  • Provide technical depth and hands-on architecture leadership for priority AI initiatives

Governance Partnership

  • Prepare and submit governance inputs - including risk-tiering analysis, AI inventory and register entries, and use-case review packages - for review and approval by the AI Governance Council
  • Partner with Cybersecurity, which owns the AI governance framework and its ongoing compliance management, to keep AI initiatives aligned with Institute policy and industry frameworks
  • Operate within a defined separation of duties, with risk decisions and use-case approvals resting with the AI Governance Council

What You'll Work With

  • Enterprise generative AI platforms and the approved-tool toolkit, cloud AI services, and modern data and machine learning tooling
  • Enterprise applications including Workday
  • The Microsoft 365 ecosystem and research computing and secure data environments
  • Governance, risk, and compliance tooling in partnership with Cybersecurity
  • Cross-functional teams and governance bodies spanning Research, Education, and Operations

What We're Looking For

Required Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related field (or equivalent experience)
  • 8+ years of progressive technology experience, including 3+ years in AI/ML, data platform, or solution architecture
  • Hands-on experience designing and delivering generative AI or LLM-based solutions in an enterprise setting
  • Experience with enterprise architecture and integration patterns across SaaS and data platforms
  • Proven ability to lead cross-functional programs from strategy through execution
  • Excellent communication skills, including the ability to present to executive audiences and influence without direct authority

Preferred Qualifications

  • Experience in research, healthcare, higher education, or other regulated or mission-driven environments
  • Familiarity with responsible AI and risk frameworks such as the NIST AI Risk Management Framework
  • Experience with cloud AI platforms and services (e.g., Azure, AWS)
  • Experience integrating with Workday or similar enterprise SaaS platforms
  • Formal change management experience (ADKAR or similar methodology)
  • Relevant certifications in cloud architecture, AI/ML, or program management

Compensation and Benefits

All full-time employees of Van Andel Institute are eligible for benefits effective Day One. VAI offers a competitive and comprehensive benefits package.

Your Next Steps

If you're excited about shaping how artificial intelligence advances discovery in a mission-driven organization, we'd love to connect. Apply through the Van Andel Institute careers site.

About Van Andel Institute

Established in Grand Rapids, Michigan, in 1996 by the Van Andel family, VAI is now home to nearly 500 scientists, educators and support staff, who work with national and international collaborators to foster discovery. The Institute's scientists study the origins of cancer, Parkinson's and other diseases and translate their findings into breakthrough prevention and treatment strategies. Our educators develop inquiry-based approaches for K-12 education to help students and teachers prepare the next generation of problem-solvers, while our Graduate School offers a rigorous, research-intensive Ph.D. program in molecular and cellular biology.

VAI is committed to excellence through broad participation and diverse perspectives. We welcome applications from individuals of all backgrounds and experiences who share our passion for innovation and collaboration.

Van Andel Institute is an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer.

As Van Andel Institute is a drug free employer, all prospective new employees undergo a urinalysis/drug test as part of our pre-employment process. This is a 7-panel drug screen and it includes testing for Marijuana, Cocaine, Amphetamines, Opiates, PCP, Barbiturates, and Benzodiazepines.

About Grand Rapids, MI

Van Andel Institute is in downtownGrand Rapids, Michigan in the center of the Medical Mile.A remarkable combination of a cosmopolitan atmosphere and small-town warmth,Grand Rapidsis known for its philanthropic and sustainability-driven community. It's fun affordable and family-friendly.

Located on the banks of the Grand River,Grand Rapids offers all the big-city excitement you'd expect from a million-resident metropolis, featuring hundreds of restaurants and nightspots, theaters, museums, sports and concerts. The safe and clean downtown is surrounded by an eclectic mix of walkable neighborhoods and natural areas. The downtown area is safe and clean with an eclectic mix of walkable neighborhoods and natural areas.