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Entry Level Machine Learning Engineer Jobs in Spring, TX

DPR Construction

MLOps Engineer

Houston, TX

We are looking for aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering. Position ...

Oxy

AI Optimization Engineer

Houston, TX · On-site

... machine learning, and algorithmic techniques to build, maintain, and improve on decision systems ... Required : • Master's degree in Engineering, Applied Mathematics, or a related field. • Strong ...

Pwc

US Tech - AI Engineering Senior Associate

Houston, TX · On-site

$55K - $187K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

GATE Energy

Engineering Consultant

Houston, TX · On-site

Machine learning and data analytics expertise is employed in developing tools to optimize ... Master's Degree in Chemical Engineering. GATE Energy is an Equal Opportunity Employer

EOG Resources, Inc.

Data Engineer II

Houston, TX · On-site

$109K - $131K/yr

Create and deploy both math and machine learning models to support current and future applications ... Bachelor's degree in Computer Science or Engineering or Information Technology. MINIMUM EXPERIENCE:

EOG Resources, Inc.

Data Engineer II

Houston, TX · On-site

$109K - $131K/yr

Create and deploy both math and machine learning models to support current and future applications ... Bachelor's degree in Computer Science or Engineering or Information Technology.  MINIMUM ...

Capgemini

Entry Level Technologist

Houston, TX · On-site

As an Entry-Level Technology Consultant at Sogeti, you will join one of our core practices based on ... Explore emerging tech-from artificial intelligence/machine learning to cloud-native engineering ...

Goldenpick Technologies LLC

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Design, develop, and optimize machine learning and deep learning models * Build NLP, computer ... Data Engineering & Processing (Optional) * Collect, clean, and preprocess structured and ...

EOG Resources, Inc.

Data Engineer II

Houston, TX · On-site

$109K - $131K/yr

Create and deploy both math and machine learning models to support current and future applications ... Bachelor's degree in Computer Science or Engineering or Information Technology. MINIMUM EXPERIENCE:

Pwc

ERP AI Engineer - Senior Associate

Houston, TX · On-site

$77K - $202K/yr

Responsibilities - Design and implement advanced AI and machine learning solutions - Analyze ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Amentum

Enterprise System Engineer

Houston, TX · On-site

$102K - $127K/yr

As NASA's largest engineering solutions provider working together with NASA at centers across the ... GitLab, Machine Learning, Debugging, Collaborative Development, Code Reviews Why Join Our Team? In ...

TallGrass

AI System Developer I

Houston, TX · On-site

The AI System Developer I serves as an entry-level individual contributor responsible for ... Degrees in Artificial Intelligence or Machine Learning are welcomed and applicable. * A minimum of ...

New

Pae

Enterprise System Engineer

Houston, TX · Hybrid

$102K - $127K/yr

Included in this hybrid IT Engineering role will be extensive Cloud-native ... GitLab, Machine Learning, Debugging, Collaborative Development, Code Reviews Why Join Our Team? In ...

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All JobsMachine Learning Engineer JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Spring, TX

Entry Level Machine Learning Engineer information

See Spring, TX salary details

$26.7K

$61.7K

$105K

How much do entry level machine learning engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for entry level machine learning engineer in Spring, TX is $61,725.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,800.00 and $69,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the most commonly searched types of Machine Learning Engineer jobs in Spring, TX? The most popular types of Machine Learning Engineer jobs in Spring, TX are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Spring, TX? For Entry Level Machine Learning Engineer jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Spring, TX look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Entry Level Machine Learning Engineer jobs? Cities near Spring, TX with the most Entry Level Machine Learning Engineer job openings:
Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Spring, TX as of August 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 33% In-person, 34% Hybrid, and 33% Remote job distribution, with an average salary of $61,725 per year, or $29.7 per hour.

MLOps Engineer

DPR Construction

Houston, TX

Full-time

Re-posted 7 days ago

DPR Construction rating

8.0

Company rating: 8.0 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

19th of 80 rated construction

Job description

Job DescriptionDPR is looking for an experienced Data and MLOps Engineer to join our Data and AI team and work closely with the Data Platform, BI and Enterprise architecture teams to influence the technical direction of DPR's AI initiatives.
You will work closely with cross-functional teams, including business stakeholders, data engineers, and technical leads, to ensure alignment between business needs and data architecture and define data models for specific focus areas.

MLOps Engineer

DPR is a leading construction company committed to delivering high-quality, innovative projects. Our team integrates cutting-edge technologies into the construction process to streamline operations, enhance decision-making, and drive efficiency at all levels. We are looking for aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering.

Position Overview

TheMLOps Engineerwill be instrumental inthe designand implementation of scalable, cloud-nativesolutions to meet the growing needs of ourData & Developmentteam.Thesuccessful candidatewill demonstrate the abilitytoabstract complexity andcreatereusable, scalable patternsthat accelerate development.The MLOps Engineerwilldesign, build and support the infrastructureand systemsthat enable our teams to deliver reliable, high-impactdata,workflows, and collaboratingclosely with data engineers, software developers, data scientists and product teams.

Responsibilities

  • Lead hands-on implementation of automation-first DevOps and MLOps practices, enabling infrastructure-as-code and consistent, repeatable environment provisioning

  • Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly detection

  • Standardize observability practicesacross AI/ML and other development teamsincluding logging, metrics, tracing, and model performance monitoring, ingesting data from multiple platforms

  • Design and deploy containerized MLworkloads,partnering withInfrastructureEngineering for cluster provisioning and governance

  • Extend existing CI/CD pipelines to support automated infrastructure changes and ML workflows

  • Implement AI-driven data validation, schema drift detection, and metadata management.

  • Establish governance frameworks for AI systems, including bias detection, explainability, and auditability

  • Extend existing Azure RBAC strategy by automating role and permission management to reduce manual intervention

  • Collaborate withInfrastructureEngineering toautomate infrastructure provisioning

  • Act as a technical point of contact forDevOps andMLOps practices,developing reusable patterns, documentation, and proof-of-concepts to drive adoption

Qualifications

  • Bachelor's degree in Computer Science,Data Science,Information Systems, or a related field

  • 5+years of experience inDevOps, MLOps,Data Engineering,Software Engineeringor Site Reliability Engineering

  • Strong understanding of cloudinfrastructure and experience working with at least one major cloudprovider, preferably Azure

  • Proficiencyinat least one objected-oriented programming language, preferably pythonwith hands-on experience inml frameworks like TensorFlow, PyTorch or Scikit-learn

Required Skills

  • Experience with CI/CD processes and automation

  • Experience withInfrastructure as Codetoolssuch as Terraform,Bicep

  • Proficiencyincontainerized application deploymentsand container orchestration- experience with Kubernetes, especially AKS would be a huge plus

  • Experiencestanding up and managingobservability tools such as Datadog, Azure Monitor or GrafanaforAPM, LLM Opsand model performance monitoring

  • Experiencedeploying production-ready machine learning models

  • Experience withModel explainability (SHAP, LIME)or similar

  • Experience with cloud cost management and practices (e.g., Azure Cost Management, chargeback/show back models).

Nice to Have

  • Experience in Azure, particularly AKS,ACR, ARM,App Service, Azure Machine Learning and AI Foundry, Azure Monitor

  • Familiarity with semantic search, retrieval-augmented generation (RAG), or embedding pipelines

  • Exposure to managing and monitoring ML workloads that support generative AI or advanced analytics use cases

  • Proficiency with Snowflake

  • Experience with workflow orchestration platforms such as Apache Airflow, Argo Workflow, Prefect, etc.

DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world.

Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek.

Explore our open opportunities atwww.dpr.com/careers.

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