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Remote Machine Learning Jobs in Frisco, TX (NOW HIRING)

... Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home. Office Location ...

... Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home. Office Location ...

Experience supporting machine learning workflows or analytical data science pipelines * Knowledge of distributed computing concepts and performance tuning This is a remote position.

... Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home. Office Location ...

... Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home. Office Location ...

... Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home. Office Location ...

... Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home. Office Location ...

... and remote work on Fridays Who we're looking for: Toyota Financial Services is seeking highly ... Hands-on experience using statistical or machine learning frameworks to solve a variety of real ...

... remote and urban locations to create a sustainable future and so much more. Simply put, Valmont is ... Build and test machine learning models with open source and internally built tools * Take on ad hoc ...

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Showing results 1-20

Remote Machine Learning information

See Frisco, TX salary details

$23.9K

$39.9K

$82.4K

How much do remote machine learning jobs pay per year?

As of Jul 18, 2026, the average yearly pay for remote machine learning in Frisco, TX is $39,855.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,400.00 and $43,100.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
What are the most commonly searched types of Machine Learning jobs in Frisco, TX? The most popular types of Machine Learning jobs in Frisco, TX are:
What are popular job titles related to Remote Machine Learning jobs in Frisco, TX? For Remote Machine Learning jobs in Frisco, TX, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Frisco, TX look for? The top searched job categories for Remote Machine Learning jobs in Frisco, TX are:
What cities near Frisco, TX are hiring for Remote Machine Learning jobs? Cities near Frisco, TX with the most Remote Machine Learning job openings:
Infographic showing various Remote Machine Learning job openings in Frisco, TX as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $39,855 per year, or $19.2 per hour.
AI Solution Engineer, SLED for North America

AI Solution Engineer, SLED for North America

NTT DATA Services

Plano, TX • Remote

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


NTT Data rating

7.4

Company rating: 7.4 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

107th of 210 rated it services


Job description

Req ID: 375008 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a AI Solution Engineer, SLED for North America to join our team in Plano, Texas (US-TX), United States (US).

We are seeking an experienced AI Engineer to design, build, test, and deploy artificial intelligence, machine learning, and generative AI solutions across industries. This role will work with solution architects, industry SMEs, and client stakeholders to turn AI opportunities into working solutions that are scalable, secure, reusable, and aligned to business outcomes.

The ideal candidate is a hands-on engineer with strong experience across AI application development, data pipelines, model integration, cloud services, APIs, automation, and modern software engineering practices. This person should be comfortable contributing to client delivery, internal accelerators, reusable assets, proofs of concept, demos, and technical content that support both sales and implementation efforts.

This role is well suited for someone who can move from experimentation to production-minded engineering, balancing speed, technical quality, responsible AI practices, and business value.

Location:  Remote role to be located in the United States

Key Responsibilities

  • Design, develop, and implement AI and generative AI solutions across primarily healthcare, life science and public sector domains.
  • Build AI-enabled applications, services, APIs, copilots, chat interfaces, workflow automations, dashboards, and decision-support tools.
  • Develop solutions using modern AI engineering patterns, including retrieval-augmented generation, embeddings, vector search, prompt engineering, model orchestration, agentic workflows, natural language processing, document intelligence, predictive analytics, and machine learning.
  • Partner with solution architects, data scientists, cloud engineers, software developers, and business stakeholders to translate requirements into technical designs and working solutions.
  • Build and maintain data pipelines, integration services, feature preparation workflows, knowledge bases, and model-ready datasets.
  • Integrate AI models and services from major cloud providers, commercial model providers, open-source frameworks, and enterprise platforms.
  • Create proofs of concept, prototypes, demos, and technical assets that validate feasibility, demonstrate business value, and support client conversations.
  • Support the sales cycle by contributing to demo environments, technical walkthroughs, proposal content, estimates, and reusable solution components.
  • Develop reusable accelerators, code libraries, templates, prompt assets, deployment patterns, and implementation playbooks.
  • Apply responsible AI practices, including model evaluation, guardrails, privacy controls, bias testing, explainability, monitoring, auditability, and human-in-the-loop design.
  • Collaborate with security, privacy, legal, compliance, and architecture teams to ensure AI solutions meet enterprise and client requirements.
  • Participate in testing, debugging, performance tuning, deployment, documentation, and operational handoff.
  • Stay current on emerging AI technologies, frameworks, tools, and engineering practices, and translate relevant innovations into practical solutions.

Qualifications: 

  • Bachelor's degree in computer science, information systems, engineering, data science, analytics, or a related field, or equivalent practical experience.
  • 6+ years of experience in software engineering, data engineering, AI engineering, machine learning engineering, analytics engineering, or technical consulting.
  • Hands-on experience building AI, machine learning, generative AI, analytics, automation, or data-driven applications.
  • Practical experience with generative AI patterns such as prompt engineering, retrieval-augmented generation, embeddings, vector databases, LLM integration, model evaluation, and API-based model orchestration.
  • Proficiency in Python and SQL, with experience using common data, AI, and application development libraries or frameworks.
  • Experience with at least one major cloud platform such as Azure, AWS, or Google Cloud.
  • Experience working with APIs, databases, data pipelines, structured data, unstructured data, and enterprise integration patterns.
  • Familiarity with software engineering practices such as Git, CI/CD, testing, code review, documentation, containerization, and deployment.
  • Ability to build technically credible solutions while communicating clearly with both technical and non-technical audiences.
  • Strong collaboration skills and ability to work with cross-functional teams in consulting, client delivery, product, or enterprise technology environments.

Required Qualifications

  • Bachelor's degree in computer science, information systems, engineering, data science, analytics, or a related field, or equivalent practical experience.
  • 6+ years of experience in software engineering, data engineering, AI engineering, machine learning engineering, analytics engineering, or technical consulting.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $151,400 - $202,500. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.


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About NTT DATA

Sourced by ZipRecruiter

NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967