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Entry Level Machine Learning Engineer Jobs in Spring, TX

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

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 Equal ...

Junior API Developer (RESTful APIs)

Houston, TX · On-site

$64K - $83K/yr

Excellent written and verbal communication skills For data Science/Machine learning REQUIRED SKILLS ... entry level position the additional skills are the only way a candidate can be picked by clients.

Hands-on experience applying machine learning to real-world problems in science and engineering * Strong background in machine learning: classical and deep learning techniques (examples may include ...

Entry Level Technologist

Houston, TX · On-site

$24.25 - $33.50/hr

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 ...

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 ...

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 ...

LLM Engineer

Houston, TX · On-site

$120K - $130K/yr

Foundational knowledge of artificial intelligence, machine learning concepts, and AI tools * Hands ... Basic understanding of prompt engineering and structured prompting techniques * Strong written ...

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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 Jun 26, 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 in the Entry Level Machine Learning Engineer position, and why are they important?

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 job?

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:
Infographic showing various Entry Level Machine Learning Engineer job openings in Spring, TX as of June 2026, with employment types broken down into 56% Full Time, 41% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $61,725 per year, or $29.7 per hour.
Engineering Consultant

Full-time

Posted 22 hours ago


Job description

Job Summary: 

Utilize expertise in process control and process safety to ensure operations are safer and more efficient. Machine learning and data analytics expertise is employed in developing tools to optimize operations to increase revenue. Develop Standard Operating Procedures and Initial Start-up Procedures for topsides and subsea systems. Develop tools for corrosion rate calculations for topside systems. Perform HAZOPs and risk assessment for topsides and subsea systems. Develop allocation and metering packages for topside facilities that use all process data available together with the traditional statistical tools to provide a more accurate metering for wells. Machine learning and data analytics expertise is employed in developing tools to optimize client’s operations to increase revenue. Communicate results and deliverables effectively through presentations and technical reports.

Experience & Education:

Master's Degree in Chemical Engineering. 

GATE Energy is an Equal Opportunity Employer