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Junior Machine Learning Engineer Jobs in Spring, TX

Varsity Tutors

Machine Learning Tutor

Houston, TX · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deloitte

AI Solutions Architect

Houston, TX

$60.25 - $79.25/hr

... Machine Learning Engineer, Microsoft Azure AI Engineer Associate, Microsoft Azure Data Scientist ... junior team members on technical practices A successful candidate would possess these skills:

Deloitte

Senior AI Engineer - SFL Scientific

Houston, TX

$99K - $137K/yr

Work with clients to design, develop, and deploy new architectures to support machine learning ... Mentor, motivate, and coach junior members on technical best practices and inspire professional ...

SDH Systems

AI Lead 11+ years of exp

Houston, TX · On-site

$133K - $164K/yr

Proven experience as an AI Engineer, Machine Learning Engineer, or similar role, with a portfolio of delivered AI/Gen AI solutions. * Proficiency in AI platforms and tools such as Azure OpenAI ...

Cliftonlarsonallen

Senior AI Engineer

Houston, TX

$99K - $137K/yr

You will work closely with AI leadership while providing day-to-day technical guidance to junior team members. This position blends applied machine learning, software engineering, cloud architecture ...

NAVA Software Solutions

Principal Data Engineer

Houston, TX · On-site

$106K - $127K/yr

Collaborate closely with business analysts, data scientists, machine learning engineers, and ... Coach and mentor junior data engineers. * Stay abreast of emerging technologies and methodologies ...

SynergisticIT

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 ... Experience in programming language Java and understanding of the software development life cycle

HP

AI & Data Analytics

Spring, TX · On-site

$101K - $122K/yr

... junior team members. • Agile Methodology • Application Development • Machine Learning (Supervised & Unsupervised) • Feature Engineering & Model Optimization • Model Evaluation (Accuracy ...

New

SynergisticIT

Junior Node.js Developer

Houston, TX · On-site

$64K - $83K/yr

Excellent written and verbal communication skills For data Science/Machine learning REQUIRED SKILLS ... Experience in programming language Java and understanding of the software development life cycle

Deloitte

Senior AI Engineer - SFL Scientific

Houston, TX · On-site

$99K - $137K/yr

... machine learning applications. Responsibilities : • Work with clients to design, develop, and ... coach junior members on technical best practices and inspire professional development ...

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All JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in Spring, TX

Junior Machine Learning Engineer information

See Spring, TX salary details

$29.8K

$63.9K

$97.4K

How much do junior machine learning engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for junior machine learning engineer in Spring, TX is $63,894.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,200.00 and $71,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Junior Machine Learning Engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a Junior Machine Learning Engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What engineers make $500,000?

Senior engineers in fields such as software, data engineering, and specialized roles like machine learning engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

How much does a junior ML engineer earn?

A junior machine learning engineer typically earns between $60,000 and $90,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

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

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a Junior Machine Learning Engineer do?

A Junior Machine Learning Engineer assists in developing, testing, and deploying machine learning models under the supervision of senior engineers or data scientists. Their responsibilities often include data preprocessing, feature engineering, and implementing algorithms using frameworks like TensorFlow or PyTorch. They also help maintain data pipelines and ensure models perform efficiently in production environments. This role is typically entry-level, providing valuable hands-on experience in applying machine learning concepts to real-world problems.

Which 5 jobs will survive AI?

For a Junior Machine Learning Engineer, roles that require complex problem-solving, creativity, and human interaction are more likely to persist alongside AI advancements. These include jobs in healthcare, education, research, specialized technical fields, and management, where human judgment and empathy remain essential. Developing skills in domain expertise, critical thinking, and interdisciplinary knowledge can help ensure long-term employability in an evolving AI landscape.

Can I learn ML in 3 months?

Learning machine learning as a Junior Machine Learning Engineer in three months is possible for individuals with prior programming experience and a strong foundation in mathematics. Focused study on core concepts, practical projects, and familiarity with tools like Python and scikit-learn can help build foundational skills within this timeframe, but mastering advanced topics typically requires longer-term experience. Real-world proficiency often depends on ongoing practice and continuous learning beyond initial training.

What Does a Junior Machine Learning Engineer Do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

More about Junior Machine Learning Engineer jobs
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 Junior Machine Learning Engineer jobs in Spring, TX? For Junior Machine Learning Engineer jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning Engineer jobs in Spring, TX look for? The top searched job categories for Junior Machine Learning Engineer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Junior Machine Learning Engineer jobs? Cities near Spring, TX with the most Junior Machine Learning Engineer job openings:
Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Spring, TX as of June 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $63,894 per year, or $30.7 per hour.

AI Developer/Engineer

Kanak Elite Services Inc

Houston, TX • On-site

Contractor

Posted 4 days ago

Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of AI Developer/Engineer with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com .

Job Description

Position           : AI Developer/Engineer

Location          : Houston , TX Onsite

Duration         : Long Term

Need - 10+ Exp Required

Key Responsibilities

  • Lead the day-to-day development of AI solutions, including writing production-grade code and building scalable systems.
  • Candidate should have good hands-on -Design & Development - Full SDLC in Python, .Net and Strong in Gen AI area.
  • Interact directly with customers to understand requirements, propose solutions, and ensure successful delivery.
  • Design and implement AI-driven features such as chatbots, recommendation engines, Agentic AI, and automation tools.
  • Build secure and scalable AI pipelines that integrate with enterprise systems and cloud platforms.
  • Evaluate and apply AI frameworks, libraries, and platforms aligned with business and technical needs.
  • Select and implement machine learning algorithms, NLP models, and other Gen AI technologies.
  • Ensure compliance with data privacy, security, and ethical standards in all AI/ML implementations.
  • Stay current with advancements in Gen AI tools and recommend their adoption within engineering teams.
  • Provide technical mentorship to developers and engineers working on AI initiatives.
  • Maintain clear documentation and architecture diagrams for deployed AI solutions.

Qualifications

  • Proven experience as an AI Engineer, Machine Learning Engineer, or similar role, with a portfolio of delivered AI/Gen AI solutions.
  • Proficiency in AI platforms and tools such as Azure OpenAI, Hugging Face, and LangChain ecosystem (LangGraph, LangSmith, LangFuse).
  • Strong programming skills in Python, C#, and Node.js, with experience in API development and system integration.
  • Expertise in NLP, machine learning, deep learning, or computer vision.
  • Experience with Azure and AWS cloud platforms and their AI/ML services.
  • Familiarity with enterprise application development and full-stack technologies.
  • Hands-on experience with chatbot development, automation frameworks, and AI-based decision systems.
  • Knowledge of AI ethics, data governance, and security best practices.
  • Excellent problem-solving and communication skills.
  • Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field.

Preferred Qualifications

  • Certifications in AI/ML from Azure or AWS.
  • Experience with low-code/no-code AI integration tools.
  • Understanding of DevOps practices for AI/ML model deployment.
  • Experience in customer-facing roles, with the ability to translate business needs into technical solutions.