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Machine Learning Engineer Python Jobs in Lewisville, TX

Tiger Analytics

Machine Learning Engineer

Plano, TX · On-site

Tiger Analytics is looking for experienced Machine Learning Engineer with Gen AI experience to join ... Design, build, and optimize high-performance APIs and microservices using Python (Fast API ...

Ascentt

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137.30K/yr

We are looking for an experienced Senior Machine Learning Engineer with deep expertise in ... Strong programming skills in Python with experience in ML libraries (e.g., scikit-learn, XGBoost ...

Axelon

Software Engineer (Python)

Irving, TX · Hybrid

$67 - $71/hr

Software Engineer Python Global Financial Firm located in RUTHERFORD, NJ has an immediate contract ... and reliable machine learning systems for training, inference, monitoring, and iteration.

Synergistic it

AI & Machine Learning Engineer

Dallas, TX

$113.70K - $136.60K/yr

... Python/Java developer , data analyst , data engineer , data scientist , and machine learning/AI ... engineer . In other words, SynergisticIT focuses on building candidates across Java / Full Stack ...

ClifyX

Machine Learning developer

Dallas, TX · On-site

Developer We can consider associates with Python and R experience. Experience range will be 3-5 years. • Hands-on experience with various machine learning algorithms like Naïve Bayes, Logistic ...

Omni Inclusive

Machine Learning

Dallas, TX · On-site

Machine Learning - Decision Trees, Random Forests, Rule Mining, Clustering, PCA, Support Vector ... Programming & Scripting - Python, R, Unix-Shell scripting, PySpark

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Machine Learning Engineer Python information

See Lewisville, TX salary details

$21.5K

$130.7K

$189.1K

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

As of Jun 3, 2026, the average yearly pay for machine learning engineer python in Lewisville, TX is $130,732.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,200.00 and $153,600.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning Engineer Python, you need a solid background in computer science, statistics, and mathematics, along with proficiency in Python programming and machine learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with cloud platforms or MLOps tools are highly valued, as are certifications like Google Professional Machine Learning Engineer. Strong problem-solving abilities, communication skills, and a collaborative mindset help set you apart in this field. These skills enable engineers to design, implement, and deploy effective machine learning solutions that address real-world challenges in dynamic, team-oriented environments.

What are some common challenges faced by Machine Learning Engineers working with Python, and how can they be addressed?

Machine Learning Engineers using Python often encounter challenges such as managing large datasets, ensuring efficient model deployment, and maintaining reproducibility of experiments. Handling data pipelines and model versioning can be complex, especially as projects scale. To address these issues, engineers typically use tools like Pandas and Dask for data handling, Docker for containerization, and MLflow or DVC for tracking experiments and models. Collaborating closely with data engineers, software developers, and product teams is also essential to streamline workflows and ensure models are production-ready.

What is a Machine Learning Engineer Python?

A Machine Learning Engineer Python is a professional who uses the Python programming language to design, build, and deploy machine learning models and systems. They work with large datasets, develop algorithms, and use Python libraries such as TensorFlow, scikit-learn, and PyTorch to solve complex problems. Their responsibilities also include preprocessing data, training models, evaluating performance, and integrating solutions into production environments. Machine Learning Engineers often collaborate with data scientists, software engineers, and business stakeholders to create scalable and efficient machine learning applications.

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

AspectMachine Learning Engineer PythonData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; Python skills; ML certificationsBachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications
Work EnvironmentDevelops scalable ML models, deploys algorithms, collaborates with engineering teamsAnalyzes data, builds models, interprets results, communicates insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles require Python proficiency and data skills, Machine Learning Engineers focus on building and deploying scalable ML models, whereas Data Scientists analyze data and generate insights. The roles often overlap but differ in their primary focus and responsibilities.

What job categories do people searching Machine Learning Engineer Python jobs in Lewisville, TX look for? The top searched job categories for Machine Learning Engineer Python jobs in Lewisville, TX are:
What cities near Lewisville, TX are hiring for Machine Learning Engineer Python jobs? Cities near Lewisville, TX with the most Machine Learning Engineer Python job openings:
Machine Learning Engineer Python jobs near you
Infographic showing various Machine Learning Engineer Python job openings in Lewisville, TX as of May 2026, with employment types broken down into 38% Full Time, 59% Part Time, and 3% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $130,732 per year, or $62.9 per hour.
Machine Learning Engineer

Machine Learning Engineer

Tiger Analytics

Plano, TX • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

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 Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

Requirements


We are looking for an experienced AI/ML Lead with deep expertise in designing and deploying high-performance APIs and microservices on AWS Fargate (ECS). The ideal candidate will have hands-on experience in generative AI integration, LLM API development, and AWS Bedrock services, contributing to building scalable GenAI and Agentic AI applications.

Key Responsibilities:
  • Design, build, and optimize high-performance APIs and microservices using Python (Fast API) deployed on AWS Fargate (ECS).
  • Integrate LLM and Generative AI APIs using providers such as AWS Bedrock, OpenAI, and others.
  • Collaborate with ML and DevOps teams to design CI/CD and MLOps pipelines within the AWS ecosystem.
  • Contribute to architectural decisions around scalability, latency management, and backend efficiency for AI-powered systems.
  • (Preferred) Leverage familiarity with Bedrock Agent Core services to integrate intelligent agent capabilities.
  • Develop and maintain JSON RESTful APIs, adhering to OpenAI API conventions and best practices.
Required Skills & Experience:
  • 5+ years of hands-on software development experience with Python.
  • Proven expertise in FastAPI and microservice architecture.
  • Strong understanding of cloud-native applications, container orchestration (ECS, Docker), and AWS tools.
  • Proficiency in LLM API integration and working with Generative AI frameworks.
  • Experience implementing CI/CD, IaC, and ML pipelines across AWS environments.
  • Familiarity with Bedrock AgentCore or other agentic systems (nice to have).
Why Join Us:

You’ll be part of an innovative team building the next generation of AI-driven applications, where scalability, performance, and intelligent automation converge. This is an opportunity to push boundaries in Agentic AI infrastructure development in a supportive, fast-moving environment.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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