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Machine Learning Engineer Python Jobs in Leander, TX

Degree in Computer Science, Machine Learning, or Related disciplines; and 2+ years of relevant experience -Excellence in Python -Deep expertise in algorithms and data structures -Exposure to DevOps ...

Degree in Computer Science, Machine Learning, or Related disciplines; and 2+ years of relevant experience -Excellence in Python -Deep expertise in algorithms and data structures -Exposure to DevOps ...

Position Summary We are seeking a Machine Learning Engineer to help design, implement, and scale AI ... Strong Python engineering background * Experience working with AI/LLM technologies and frameworks ...

Machine Learning Engineer This job will validate and develop machine learning models and algorithms ... Possessing advanced coding skills in dealing with big data (e.g., Scikit-learn in Python ...

They are seeking an experienced Machine Learning Engineer to design, implement, and optimize ... in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, along with PySpark, NumPy, and ...

Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and ... Experience building data processing pipelines and large scale machine learning systems with ...

About the Role We are looking for an experienced Machine Learning Engineer with a strong background ... Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, along with PySpark ...

About the Role We are looking for an experienced Machine Learning Engineer with a strong background ... Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, along with PySpark ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... as Python, R, or Java • Experience with ML frameworks/libraries (TensorFlow, PyTorch, scikit ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... programming languages such as Python, R, or Java Experience with ML frameworks/libraries ...

About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building ... Demonstrable proficiency with Python, dbt, SQL, and modern ML tooling * Experience working with ...

Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and ... Experience building data processing pipelines and large scale machine learning systems with ...

Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and ... Experience building data processing pipelines and large scale machine learning systems with ...

Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and ... Experience building data processing pipelines and large scale machine learning systems with ...

Mid-Level AI/Machine Learning Engineer Join one of the top 10 global powerhouses transforming the ... Strong programming in Python (PyTorch, TensorFlow, scikit-learn) * Experience with LLMs, prompt ...

We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that ... Strong programming skills in Python * Experience with SQL and NoSQL databases * Strong problem ...

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Machine Learning Engineer Python information

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$22K

$133.7K

$193.5K

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

As of Jun 4, 2026, the average yearly pay for machine learning engineer python in Leander, TX is $133,743.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,600.00 and $157,200.00 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 are popular job titles related to Machine Learning Engineer Python jobs in Leander, TX? For Machine Learning Engineer Python jobs in Leander, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Python jobs in Leander, TX look for? The top searched job categories for Machine Learning Engineer Python jobs in Leander, TX are:
What cities near Leander, TX are hiring for Machine Learning Engineer Python jobs? Cities near Leander, TX with the most Machine Learning Engineer Python job openings:

Machine Learning Engineer-Python

Prophecy Technologies

Austin, TX • On-site

Full-time

Posted 6 days ago


Job description

Job Summary
We are seeking a Machine Learning Engineer with strong hands-on experience in building and deploying machine learning solutions. The role involves working with structured data, NLP, time series models, and modern LLM concepts, while contributing to scalable ML and MLOps architectures in cloud environments.
Key Responsibilities
  • Design, develop, and implement machine learning models for real-world business use cases
  • Work with structured data, NLP, and time series modeling techniques
  • Apply LLM concepts such as RAG, prompting, few-shot prompting, and supervised fine-tuning (SFT)
  • Develop, deploy, and maintain ML pipelines using MLOps best practices
  • Perform data analysis, feature engineering, and statistical modeling
  • Optimize model performance, scalability, and reliability
  • Collaborate with cross-functional teams to translate requirements into ML solutions
  • Contribute to continuous improvement of ML systems and workflows

Required Skills & Experience
  • 4+ years of hands-on experience in Machine Learning implementations
  • Strong experience in structured data modeling, NLP, and time series analysis
  • Good understanding of LLM concepts including RAG, prompting, few-shot prompting, and SFT
  • Strong knowledge of MLOps architectures and components
  • Solid understanding of statistical concepts and problem-solving techniques
  • Hands-on experience with ML frameworks such as:
  • Scikit-learn
  • PyTorch / TensorFlow / Keras
  • RASA
  • LangChain
  • Strong programming experience in Python

Competencies
  • Strong analytical and problem-solving skills
  • Ability to design scalable and maintainable ML solutions
  • Good communication and collaboration skills
  • Ownership mindset and attention to model quality

Preferred Skills
  • Experience with Cloud and DevOps tools including Git, CI/CD, Docker, and Kubernetes
  • Hands-on experience with AWS or GCP
  • Experience working in Agile development environments