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Machine Learning Engineer Python Jobs in Leander, TX

X4 Engineering

Machine Learning Engineer

Austin, TX · On-site

$140K - $180K/yr

Python | AWS | Kubernetes | Docker | Terraform | Airflow | Spark | MLflow | Databricks | Kafka | CI/CD We're interested in people from backgrounds such as: ✔ Machine Learning Engineering ✔ MLOps ...

Avride

Machine Learning Engineer

Austin, TX · On-site

... Machine Learning Engineer to enhance their autonomous systems. The role involves developing and ... in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, along with PySpark, NumPy, and ...

Apple

Machine Learning Engineer

Austin, TX · On-site

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 ...

Avride

Machine Learning Engineer

Austin, TX

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 ...

Avride

Machine Learning Engineer

Austin, TX · On-site

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 ...

Q2

Machine Learning Engineer

Austin, TX

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 ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

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 ...

Shipwell

Machine Learning Engineer

Austin, TX · On-site +1

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 ...

Apple

Machine Learning Engineer

Austin, TX

$134K - $249K/yr

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 ...

Apple

Machine Learning Engineer

Austin, TX

$134K - $249K/yr

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 ...

Apple

Machine Learning Engineer

Austin, TX

$134K - $249K/yr

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 ...

Neuralink

Machine Learning Engineer

Austin, TX

About the Role: Engineers on the BCI team utilize signal processing and machine learning to ... Experience writing production-level C/C++/Rust and Python * Proven track record of designing ...

9 Mothers

Machine Learning Engineer, Senior

Austin, TX · On-site

$103K - $142K/yr

The company is seeking a Senior Machine Learning Engineer to design, train, and maintain models for ... Python; working knowledge of C++ or Rust at the training-to-deployment boundary. • U.S ...

Neuralink

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

About the Role: Engineers on the BCI team utilize signal processing and machine learning to ... Experience writing production-level C/C++/Rust and Python * Proven track record of designing ...

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All JobsMachine Learning Engineer Python JobsMachine Learning Engineer Python Jobs in Leander, TX

Machine Learning Engineer Python information

See Leander, TX salary details

$22K

$133.7K

$193.5K

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

As of Jul 15, 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 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 the salary of machine learning engineer in Python?

The average salary for a machine learning engineer proficient in Python typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those requiring specialized skills in deep learning or data engineering may offer higher compensation.

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 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 engineer makes $500,000 a year?

A senior or lead machine learning engineer with extensive experience, advanced skills in Python, deep learning, and data modeling can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Such roles often require advanced degrees, certifications, and a strong track record of successful projects.

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 a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI director, often involving advanced skills in Python, deep learning, and data science. These roles usually require extensive experience, specialized knowledge, and may include leadership responsibilities or working in competitive industries like tech or finance.

Is Python enough for ML engineers?

Python is a fundamental programming language for machine learning engineers due to its extensive libraries like TensorFlow, PyTorch, and scikit-learn. However, proficiency in data manipulation, algorithms, and understanding of machine learning concepts, along with knowledge of tools like SQL and cloud platforms, are also important for success in the role.
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 jobs near you

Machine Learning Engineer

X4 Engineering

Austin, TX • On-site

$140K - $180K/yr

Other

Posted 21 days ago

Job description

🚀 Machine Learning Engineer

📍 Austin, TX (Hybrid/Remote Considered)

💰 $140,000 - $180,000 Base


We're partnering with a fast-growing energy firm looking to hire a Machine Learning Engineer to join a highly technical platform engineering team supporting traders, analysts, and quantitative researchers.


This is not a pure data science role. We're looking for an engineer who enjoys building robust production systems, scaling data and ML infrastructure, and working closely with front-office stakeholders to deliver real business impact.


What you'll be doing:

  • Building and maintaining ML and data platforms used for forecasting, optimization, and trading workflows
  • Designing scalable cloud-native infrastructure and deployment pipelines
  • Productionizing quantitative models and analytics tools
  • Developing distributed data and compute systems
  • Working directly with traders and business users to deliver reliable solutions
  • Driving engineering best practices across CI/CD, observability, testing, and automation


Tech stack includes:

Python | AWS | Kubernetes | Docker | Terraform | Airflow | Spark | MLflow | Databricks | Kafka | CI/CD

We're interested in people from backgrounds such as:

✔ Machine Learning Engineering

✔ MLOps Engineering

✔ Platform Engineering

✔ Software Engineering (with ML/Data exposure)

✔ Quant Development

✔ Infrastructure Engineering


Ideal candidates will have strong Python skills, cloud and DevOps experience, and a track record of building production systems. Experience within energy, trading, forecasting, or quantitative environments is beneficial but not essential.


If you'd like to learn more, please send me a message or apply directly.


They prefer the role to be worked on a hybrid model of 1-2 days a week. Salary offered is $140,000-$180,000.

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