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New Grad Machine Learning Jobs in Haslet, TX (NOW HIRING)

KAPI LLC

Senior MLOps Engineer - Snowflake

Dallas, TX · On-site

$100K - $130K/yr

Operationalize machine learning models developed by Data Science teams. * Build automated ML ... new business opportunities, operational efficiencies, and platform reliability at scale. At KAPI ...

Waabi

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

Strong grasp of machine learning literature, including current trends and state-of-the-art ... The salary base range is reflective of the minimum and maximum target for new hire salaries for the ...

Waabi

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

Strong grasp of machine learning literature, including current trends and state-of-the-art ... The salary base range is reflective of the minimum and maximum target for new hire salaries for the ...

Elevance Health

Research Scientist Senior

Grand Prairie, TX · On-site +1

$93K - $118K/yr

... New York, NY. Alternate locations may be considered if candidates reside within a commuting ... Develops scalable machine learning and reinforcement learning systems that improve healthcare ...

Waabi

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

Strong grasp of machine learning literature, including current trends and state-of-the-art ... The salary base range is reflective of the minimum and maximum target for new hire salaries for the ...

Citi

Specialized Analytics Senior Analyst

Irving, TX

$82K - $104K/yr

Build predictive models and machine-learning and AI algorithms with large amounts of structured and ... new fraud tactics. Support model deployment and integration into production systems, ensuring ...

Winaxis

AI Engineer

Dallas, TX · On-site

Basic understanding of Machine Learning concepts and NLP. * Familiarity with Generative AI and ... Eagerness to learn and adapt to new AI technologies. Preferred Skills * Hands-on experience with ...

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Showing results 41-60

All JobsNew Grad Machine Learning JobsNew Grad Machine Learning Jobs in Haslet, TX

New Grad Machine Learning information

See Haslet, TX salary details

$24.1K

$40.2K

$83K

How much do new grad machine learning jobs pay per year?

As of Sep 11, 2026, the average yearly pay for new grad machine learning in Haslet, TX is $40,180.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,700.00 and $43,400.00 per year, depending on experience, location, and employer.

What is a new grad machine learning?

New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.

What skills and qualifications are needed to thrive as a new grad machine learning?

To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.

What challenges do new graduates face when starting out in a machine learning role, and how can they overcome them?

New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.

What is the difference between New Grad Machine Learning vs Data Scientist?

AspectNew Grad Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some internshipsBachelor's or Master's in CS, Statistics, or related; some experience
Work EnvironmentEntry-level, team-focused, research and developmentData analysis, modeling, cross-functional collaboration
Employer & Industry UsageTech companies, startups, research labsTech, finance, healthcare, consulting firms

New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.

What cities near Haslet, TX are hiring for New Grad Machine Learning jobs?

Cities near Haslet, TX with the most New Grad Machine Learning job openings:

New Grad Machine Learning jobs near you
Infographic showing various New Grad Machine Learning job openings in Haslet, 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 $40,180 per year, or $19.3 per hour.

Senior Data Scientist | Onsite | AI/ML

Fort Worth, TX

Motion Recruitment
Recruiting and Staffing Services • 501 - 1,000 employees
Learn more about Motion Recruitmentexternal

Full-time

Posted 22 days ago

Job description

We are seeking a Senior Data Scientist to join a highly collaborative AI/ML team supporting Contact Centers and Digital Customer Experience initiatives for one of the largest airlines in the United States. This role offers the opportunity to work on cutting-edge Machine Learning and Generative AI solutions that directly impact customer experience and operational performance. Applicants must be able to work onsite in DFW Tuesday through Thursday

In this role, you will take ownership of data preparation, pipeline development, model design, testing, deployment, and monitoring. You will partner closely with engineers, data scientists, and business stakeholders to develop and productionize scalable AI solutions in a Microsoft-focused environment.

Required Skills & Experience
  • Master's or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Machine Learning, or a related quantitative field with 5-7+ years of experience
  • Advanced Python expertise, including production-grade development, modularization, testing, debugging, performance tuning, and code optimization
  • Hands-on experience developing and productionizing Machine Learning pipelines, including model deployment, orchestration, monitoring, and optimization (MLOps)
  • Experience building Generative AI applications and applying statistical and machine learning techniques to solve complex business problems
Desired Skills & Experience
  • Experience with LLMs, Agentic AI, prompt engineering, and customer-facing GenAI applications
  • Azure ML, Databricks, SQL, MLflow, and CI/CD pipeline experience
  • Experience taking ML models from prototype to production, including containerization and system integration
  • Understanding of AI governance, security, privacy, and responsible AI best practices
What You Will Be Doing
  • Design, build, test, deploy, and monitor Machine Learning and Generative AI solutions supporting Contact Center and Digital Customer Experience initiatives
  • Develop scalable data pipelines, ML workflows, and production-ready MLOps processes
  • Collaborate with engineers, data scientists, and business stakeholders to deliver high-impact AI solutions
  • Enhance and optimize existing AI systems while driving new innovation through LLMs, GenAI, and advanced analytics.
Applicants must be currently authorized to work in the US on a full-time basis now and in the future

Apply