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Remote Python Machine Learning Jobs in Texas (NOW HIRING)

CVS Health

Machine Learning Engineer

Irving, TX · On-site +1

$96K - $144K/yr

Duties include: apply data modeling, machine learning, predictive modeling, and statistical ... Java, Python, or Node.js;JavaScript;Agile methodologies or SAFe Software Development Principles;

webAI Inc

Staff Machine Learning Engineer

Austin, TX · On-site +1

Strong programming skills in Python and machine learning frameworks like TensorFlow and/or PyTorch. * Demonstrated ability to lead complex projects and work collaboratively in a team environment.

Cambium Learning Group

Software Engineer / Python

Dallas, TX · On-site +1

$46.25 - $63.75/hr

Train machine learning models, analyze performance metrics, and communicate results with visual and ... Extensive experience with Python and python frameworks (e.g. CherryPy, Bottle, Flask, Django)

ForeFlight

Staff Machine Learning Engineer

Austin, TX · On-site +1

Jeppesen ForeFlight is seeking a Senior Machine Learning Engineer to help build and scale domain ... Strong Python engineering skills and experience building production ML systems. * Experience with ...

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All JobsRemote Python Machine Learning JobsRemote Python Machine Learning Jobs in Texas

Remote Python Machine Learning information

What is a Remote Python Machine Learning job?

A Remote Python Machine Learning job involves developing, deploying, and optimizing machine learning models using Python while working from a remote location. Responsibilities typically include data preprocessing, model training, evaluation, and integration into production systems. Professionals in this role often use frameworks like TensorFlow, PyTorch, or Scikit-learn and work with cloud platforms or on-premise infrastructure. This job requires strong programming skills, an understanding of machine learning algorithms, and experience handling large datasets. Remote positions offer flexibility but require self-discipline and effective communication with distributed teams.

Which 5 jobs will survive AI?

Remote Python machine learning roles are likely to persist as they require specialized skills in data analysis, programming, and understanding complex algorithms that are difficult to fully automate. Jobs involving creative problem-solving, strategic decision-making, and human interaction, such as data scientists, AI specialists, software developers, cybersecurity analysts, and technical trainers, are also expected to remain in demand despite advances in AI. Continuous learning and adapting to new tools like deep learning frameworks will help professionals stay relevant in these fields.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often requiring advanced skills in Python, deep learning frameworks, and extensive experience. These positions usually involve leadership, strategic planning, and may include stock options or bonuses, reflecting their seniority and impact on company success.

Which 3 jobs will survive AI?

Remote Python machine learning roles are likely to persist as they require specialized skills in data analysis, programming, and understanding complex algorithms that are difficult to fully automate. Jobs involving creative problem-solving, strategic decision-making, and interpersonal communication, such as data scientists, AI specialists, and software engineers, are also expected to remain in demand. Continuous learning and adapting to new tools like deep learning frameworks will help professionals stay relevant in these fields.

What are the key skills and qualifications needed to thrive in the Remote Python Machine Learning position, and why are they important?

To thrive as a Remote Python Machine Learning professional, you need a strong background in Python programming, machine learning algorithms, and data analysis, typically supported by a degree in computer science or a related field. Familiarity with libraries such as TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms like AWS or Azure, as well as relevant certifications, are highly valuable. Excellent problem-solving skills, self-motivation, and clear communication are essential for remote collaboration and delivering impactful results. These capabilities enable you to tackle complex projects efficiently, drive innovation, and function effectively in distributed teams.

Is Python good for remote jobs?

Python is widely used for remote jobs, especially in fields like machine learning, data analysis, and web development. Many companies offer remote Python roles that require skills in frameworks, libraries, and version control tools, making it a strong choice for remote work opportunities.

What are some typical daily tasks for a Remote Python Machine Learning professional?

A typical day in this role involves designing, developing, and testing machine learning models using Python, as well as cleaning and preprocessing large datasets. You may also spend time researching new algorithms, tuning model performance, and collaborating with data engineers, product managers, and other remote team members to integrate solutions into production. Regular code reviews, virtual meetings, and documentation are part of the workflow to ensure consistent project progress and maintain code quality. Balancing independent deep work with remote teamwork is key to succeeding in this environment.

What are the most commonly searched types of Python Machine Learning jobs in Texas? The most popular types of Python Machine Learning jobs in Texas are:
What are popular job titles related to Remote Python Machine Learning jobs in Texas? For Remote Python Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Python Machine Learning jobs in Texas look for? The top searched job categories for Remote Python Machine Learning jobs in Texas are:
What cities in Texas are hiring for Remote Python Machine Learning jobs? Cities in Texas with the most Remote Python Machine Learning job openings:
Remote Python Machine Learning jobs near you
Sr. Distinguished Machine Learning Engineer

Sr. Distinguished Machine Learning Engineer

Capital One

Plano, TX • On-site, Remote

$100K - $137K/yr

Full-time

Posted 7 days ago

Key responsibilities

  • Deliver machine learning models and software components to solve business problems in collaboration with cross-functional teams.

  • Drive the creation and evolution of machine learning models and software for intelligent systems.

  • Lead large-scale machine learning initiatives with a focus on customer needs.

Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 142 frontline employees who took The Breakroom Quiz

71st of 144 rated banks

Job description

Sr. Distinguished Machine Learning Engineer

Overview:
As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll serve as a technical domain expert in machine learning, guiding machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You'll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology.

What you'll do in the role:

  • Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams

  • Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems

  • Lead large-scale ML initiatives with the customer in mind

  • Leverage cloud-based architectures and technologies to deliver optimized ML models at scale

  • Optimize data pipelines to feed ML models

  • Use programming languages like Python, Scala, C/C++

  • Leverage compute technologies such as Dask and RAPIDS

  • Evangelize best practices in all aspects of the engineering and modeling lifecycles

  • Help recruit, nurture, and retain top engineering talent

Basic Qualifications:

  • Bachelor's degree

  • At least 10 years of experience designing and building data-intensive solutions using distributed computing

  • At least 7 years of experience programming in C, C++, Python, or Scala

  • At least 4 years of experience with the full ML development lifecycle using modern technology in a business critical setting

Preferred Qualifications:

  • Master's Degree

  • 3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models

  • 3+ years of experience using Dask, RAPIDS, or in High Performance Computing

  • 3+ years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn)

  • Ability to communicate complex technical concepts clearly to a variety of audiences

  • ML industry impact through conference presentations, papers, blog posts, or open source contributions

  • Ability to attract and develop high-performing software engineers with an inspiring leadership style

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $314,800 - $359,300 for Sr Distinguished Machine Learning Engineer


Plano, TX: $286,200 - $326,700 for Sr Distinguished Machine Learning Engineer










Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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