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Junior Machine Learning Engineer Jobs in Addison, TX

Machine Learning Engineer

Plano, TX · On-site

$120 - $150/hr

Overview Tiger Analytics is looking for experienced Machine Learning Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in ...

Lead Machine Learning Engineer

Plano, TX

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Lead Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing Generative AI and advanced agentic systems at scale.

Lead Machine Learning Engineer

Plano, TX · On-site

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Lead Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing Generative AI and advanced agentic systems at scale.

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 ...

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 ...

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

Machine Learning Engineer

Dallas, TX

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... the machine learning function at a market-leading insurance company. As one of the first data ... Leverage continuous engineering practices to deliver business value regarding effectiveness of the ...

Machine Learning Engineer - NJ

Addison, TX · On-site

$54 - $71.50/hr

We are seeking a Machine Learning Engineer to design and develop robust analytics models using statistical and machine learning algorithms. In this role, you will work closely with product and ...

Machine Learning Engineer - NJ

Addison, TX

$54 - $71.50/hr

We are seeking a Machine Learning Engineer to design and develop robust analytics models using statistical and machine learning algorithms. In this role, you will work closely with product and ...

Showing results 21-40

Junior Machine Learning Engineer information

See Addison, TX salary details

$32.4K

$69.5K

$106K

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

As of Aug 18, 2026, the average yearly pay for junior machine learning engineer in Addison, TX is $69,506.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,000.00 and $77,400.00 per year, depending on experience, location, and employer.

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.

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 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 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.

How much do junior machine learning engineers make?

Junior machine learning engineers typically earn between $70,000 and $100,000 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 are popular job titles related to Junior Machine Learning Engineer jobs in Addison, TX?

For Junior Machine Learning Engineer jobs in Addison, TX, the most frequently searched job titles are:

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

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

Infographic showing various Junior Machine Learning Engineer job openings in Addison, TX as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $69,506 per year, or $33.4 per hour.

Graph Machine Learning Engineer (Network)

Vailexa

Plano, TX • On-site, Remote

Full-time

Re-posted 4 days ago


Job description

Build More Than Just a Career. Build Your Future.

At Vailexa, we're not just hiring — we're building thinkers, creators, and future leaders.

We believe in giving people the space to grow, the freedom to think, and the opportunity to create real impact from day one. If you're someone who wants to learn fast, take ownership, and grow beyond limits, you'll feel right at home here.

Summary: We are seeking a talented Graph Machine Learning Engineer to join our team and drive the development of innovative graph-based machine learning models. The ideal candidate will leverage their expertise to solve complex problems and enhance our data-driven decision-making capabilities.

Responsibilities:

  • Design and implement graph neural network models to extract insights from large datasets.
  • Collaborate with cross-functional teams to integrate graph machine learning solutions into existing systems.
  • Develop scalable algorithms for graph data processing and analysis.
  • Perform data pre-processing and feature engineering to ensure high-quality model inputs.
  • Stay up-to-date with the latest trends and advancements in graph machine learning.
  • Conduct experiments to evaluate model performance and refine algorithms as necessary.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • Proven experience in machine learning, with a focus on graph-based methods.
  • Strong programming skills in Python and familiarity with libraries such as TensorFlow, PyTorch, or similar.
  • Knowledge of graph databases and query languages (e.g., Neo4j, Cypher).
  • Excellent problem-solving skills and the ability to work independently and collaboratively.
  • Strong communication skills to convey complex technical concepts to non-technical stakeholders.

Ready to take the next step?

If you're excited about this role and ready to grow with a team that values ambition, ideas, and impact — we'd love to hear from you.

???? Apply now and start building your journey with Vailexa.