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Machine Learning Engineer Opt Jobs in Frisco, TX

Resolve Tech Solutions

Senior ML Engineer

Addison, TX

$101K - $138K/yr

Develop machine learning models and algorithms to address business needs. Collaborate with data scientists and software engineers to design and implement scalable and efficient solutions. Clean ...

Resolve Tech Solutions

Senior ML Engineer

Addison, TX · On-site

$101K - $138K/yr

Responsibilities: • Develop machine learning models and algorithms to address business needs. • Collaborate with data scientists and software engineers to design and implement scalable and ...

CGI Inc.

Machine Learning Operations Engineer

Dallas, TX · On-site

$113K - $136K/yr

Machine Learning Operations Engineer Category: Software Development/ Engineering Main location: United States, Texas, Dallas Alternate Location(s): United States, Strongsville United States ...

Varsity Tutors

Machine Learning Tutor

Allen, 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 ...

Varsity Tutors

Machine Learning Tutor

Arlington, 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 ...

Varsity Tutors

Machine Learning Tutor

Dallas, 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 ...

Varsity Tutors

Machine Learning Tutor

Carrollton, 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 ...

Varsity Tutors

Machine Learning Tutor

Plano, 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 ...

Varsity Tutors

Machine Learning Tutor

Irving, 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 ...

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All JobsMachine Learning Engineer Opt JobsMachine Learning Engineer Opt Jobs in Frisco, TX

Machine Learning Engineer Opt information

See Frisco, TX salary details

$29.5K

$120.5K

$181.1K

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

As of Jul 11, 2026, the average yearly pay for machine learning engineer opt in Frisco, TX is $120,520.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,000.00 and $145,100.00 per year, depending on experience, location, and employer.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

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

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

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

To thrive as a Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

What are some common challenges Machine Learning Engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.
What are popular job titles related to Machine Learning Engineer Opt jobs in Frisco, TX? For Machine Learning Engineer Opt jobs in Frisco, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Opt jobs in Frisco, TX look for? The top searched job categories for Machine Learning Engineer Opt jobs in Frisco, TX are:
What cities near Frisco, TX are hiring for Machine Learning Engineer Opt jobs? Cities near Frisco, TX with the most Machine Learning Engineer Opt job openings:
Machine Learning Engineer Opt jobs near you
Infographic showing various Machine Learning Engineer Opt job openings in Frisco, TX as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $120,520 per year, or $57.9 per hour.
Sr. Principal Data Scientist / Machine Learning Engineer

Sr. Principal Data Scientist / Machine Learning Engineer

Ascentt

Plano, TX • On-site

Full-time

Re-posted 6 days ago

Job description

Job Summary:
Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We are seeking a skilled Sr. Principal Data Scientist / Machine Learning Engineer to lead high-impact AI/ML projects, leveraging deep data science expertise to drive business value and client satisfaction.
Responsibilities:
• Serve as a primary technical expert and thought leader in Data Science and Machine Learning.
• Define and drive the technical strategy for AI/ML initiatives, identifying high-value opportunities for optimization, predictive analytics, and process improvement across diverse use cases.
• Architect and oversee the development of robust, scalable, and production-ready DS/ML models and solutions.
• Stay at the forefront of the latest advancements in DS/ML, especially those applicable to various industries and large-scale data problems.
• Lead end-to-end DS/ML projects, including requirements gathering, data exploration, model development, validation, deployment, and monitoring.
• Define project scope, timelines, and deliverables, ensuring successful execution within budget and schedule constraints.
• Mentor and guide junior and mid-level data scientists and ML engineers, fostering a culture of technical excellence and continuous learning.
• Drive MLOps best practices for reliable and efficient model deployment and lifecycle management.
• Act as a trusted advisor to clients and internal stakeholders, understanding their business challenges and translating them into solvable DS/ML problems.
• Effectively communicate complex analytical findings, model performance, and business recommendations to both technical and non-technical audiences.
• Manage client expectations, present progress reports, and ensure stakeholder satisfaction.
• Facilitate workshops and discovery sessions to identify new opportunities for AI/ML adoption.
• Lead the identification, prioritization, and execution of complex AI/ML use cases that drive significant business impact.
• Apply deep analytical skills to dissect complex problems, derive actionable insights from data, and design innovative solutions.
• Develop and implement models for:
• Predictive Analytics: Forecasting, risk assessment, and anomaly detection.
• Optimization: Improving efficiency, resource allocation, and decision-making.
• Pattern Recognition: Identifying trends, segments, and relationships within large datasets.
• Automation: Leveraging ML for intelligent process automation and enhanced operational efficiency.
Qualifications:
Required:
• Master's or Ph.D. in Data Science, Machine Learning, Computer Science, Engineering, Operations Research, Statistics, or a related quantitative field.
• 8+ years of progressive experience in Data Science and Machine Learning roles, with at least 3-5 years in a leadership or principal-level capacity.
• Demonstrated experience leading multiple end-to-end DS/ML projects successfully from concept to production.
• Proven track record of managing client interactions, presenting technical solutions, and influencing strategic decisions.
• Expertise in Python programming (NumPy, Pandas, Scikit-learn, Keras/TensorFlow/PyTorch).
• Strong understanding of statistical modeling, experimental design, and hypothesis testing.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps principles.
• Excellent communication, interpersonal, and presentation skills.
Preferred:
• Experience with real-time data processing and streaming analytics.
• Knowledge of various industry verticals and their unique data challenges (e.g., finance, healthcare, retail, logistics, manufacturing).
• Experience with large-scale data architectures (e.g., data lakes, data warehouses, distributed computing).
• Publications or presentations in relevant fields.
Company:
Ascentt is an AI, ML and Data Science solutions provider serving enterprise customers. Founded in 2007, the company is headquartered in Plano, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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