2

Entry Level Machine Learning Engineer Jobs in Dallas, TX

Lead Research Engineer

Frisco, TX · On-site +1

$95K - $126K/yr

We hire engineers and specialists across a variety of AI research areas to drive the company ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

Develop and optimize machine learning and deep learning models using frameworks like TensorFlow or PyTorch. * Strong skills in programming languages such as Python, R, or Java, essential for ...

Bigdata Engineer

Plano, TX · On-site

$52 - $69/hr

... machine learning engineering • Exposure to NLP and text processing • Experience with pipelines, job scheduling and workflow management Personal Skills • Experienced in managing work with ...

They are seeking an AI/ML Engineer to design and develop large scale software solutions, provide technical leadership, and apply advanced machine learning techniques to enhance their projects.

Develop machine learning solutions, including advanced AI modeling, evaluation, optimization, and ... Implement DevOps practices, including CI/CD pipelines, infrastructure as code, and automated ...

Overview How You'll Make an Impact As an AI Engineer, you will play a critical role in building and ... Design, develop, and deploy machine learning and AI models that are reliable, scalable, and ...

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 ...

Senior ML Ops Engineer

Dallas, TX · On-site

$103K - $142K/yr

Machine Learning Algorithms. * Statistical Modeling. * End to end deployment. * Metric generation. * Model monitoring and deployment. * Prompt Engineering * Hand on with ML Model optimization ...

Focus on AI application engineers building enterprise GenAI solutions rather than AI researchers ... Machine learning model development is not required. Data science experience is not required.

next page

Showing results 1-20

Entry Level Machine Learning Engineer information

See Dallas, TX salary details

$29.7K

$68.6K

$116.7K

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

As of Jul 14, 2026, the average yearly pay for entry level machine learning engineer in Dallas, TX is $68,615.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,900.00 and $77,700.00 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 Dallas, TX? The most popular types of Machine Learning Engineer jobs in Dallas, TX are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Dallas, TX? For Entry Level Machine Learning Engineer jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Dallas, TX look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Entry Level Machine Learning Engineer jobs? Cities near Dallas, TX with the most Entry Level Machine Learning Engineer job openings:

MLOps Platform Engineer (SageMaker)

PTR Global

Plano, TX • On-site

$80 - $90/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago


Job description

Position: W2 MLOps Platform Engineer (SageMaker)
Location: Plano, Texas (Onsite)
Duration: 12 months with possibility of extension
Job ID: 177682
We welcome applications from qualified non-local candidates who are willing to relocate to Plano, TX for this opportunity, This role open for only W2
Job Overview:
We are seeking a skilled MLOps Platform Engineer with expertise in SageMaker to join our team. The ideal candidate will be responsible for designing, implementing, and maintaining machine learning operations platforms to support scalable and efficient deployment of machine learning models. This role requires a strong understanding of MLOps principles, cloud-based platforms, and a passion for driving innovation in machine learning workflows.
Responsibilities:
  • Design and implement MLOps pipelines to automate the deployment and monitoring of machine learning models.
  • Leverage Amazon SageMaker to build, train, and deploy machine learning models at scale.
  • Collaborate with data scientists and software engineers to integrate machine learning workflows into production systems.
  • Ensure the scalability, reliability, and security of the MLOps platform.
  • Monitor and optimize the performance of deployed models and pipelines.
  • Stay updated with the latest advancements in MLOps tools and technologies.
Qualifications:
  • Proven experience in MLOps and deploying machine learning models in production environments.
  • Strong expertise in Amazon SageMaker and other AWS services.
  • Proficiency in programming languages such as Python and familiarity with machine learning frameworks.
  • Experience with CI/CD pipelines and containerization technologies like Docker and Kubernetes.
  • Excellent problem-solving skills and the ability to work collaboratively in a team environment.
  • Strong communication skills to effectively convey technical concepts to non-technical stakeholders.

About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit ;br>
At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to:
  • Pay any fee to be considered for, submitted to, or selected for any opportunity.
  • Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process.
  • Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup.

Pay Range: $80 - $90/hr. W2
The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.
If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at
#LI-AD2