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Remote Machine Learning Engineer Jobs in Frisco, TX

Senior ITSMA Observability Engineer

Dallas, TX · On-site +1

$103K - $142K/yr

Our proprietary platform, enhanced by machine learning and robotic process automation, gives ... HedgeServ supports employees through a variety of offerings, including remote and hybrid working ...

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

Senior Applied ML Engineer

Irving, TX · Remote

$125K - $183K/yr

We are looking for a Senior Applied ML Engineer to design, implement, and scale machine learning systems that power next-generation construction and digital twin solutions. You will apply advanced ML ...

Senior ML Ops Engineer

Irving, TX · Remote

$123K - $170K/yr

... end-to-end machine learning lifecycle, including model training, deployment, monitoring, and ... Engineers, and Infrastructure teams to operationalize ML solutions and improve deployment ...

Sr. Software Engineer

Irving, TX · Remote

$170K - $220K/yr

Hybrid (3 days onsite, 2 days remote) Assignment Type: Direct Hire Pay: $170,000-$220,000 base ... AI or machine learning applications related to infrastructure Candidates should have a stable work ...

Data Solutions Engineer

Irving, TX · On-site +1

$91K - $156K/yr

Stay abreast of the latest trends in cloud computing, machine learning, AI, and data engineering. Explore new technologies and methodologies to continuously improve systems, tools, and data processes.

As a Principal Scientist at CAI, you will play an integral part of the machine learning team, which consists of data scientists, psychometricians, linguists, and software engineers. Our team focuses ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

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Showing results 1-20

Remote Machine Learning Engineer information

See Frisco, TX salary details

$29.5K

$120.5K

$181.1K

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

As of Jul 20, 2026, the average yearly pay for remote machine learning engineer in Frisco, TX is $120,520.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,000.00 and $145,100.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually. High compensation often reflects expertise, leadership roles, or working in competitive industries such as tech or finance, especially in organizations valuing AI development.

What are some typical challenges faced by Remote Machine Learning Engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role is unlikely to be fully replaced by AI itself. Instead, AI tools can augment their work by automating routine tasks, allowing MLEs to focus on complex problem-solving, model optimization, and system integration. Continuous learning and expertise in programming, data handling, and model evaluation remain essential for MLEs in an evolving AI landscape.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a Remote Machine Learning Engineer job?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, or PyTorch. Remote work arrangements depend on the employer's policies and the specific project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.
What are the most commonly searched types of Machine Learning Engineer jobs in Frisco, TX? The most popular types of Machine Learning Engineer jobs in Frisco, TX are:
What are popular job titles related to Remote Machine Learning Engineer jobs in Frisco, TX? For Remote Machine Learning Engineer jobs in Frisco, TX, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Engineer jobs in Frisco, TX look for? The top searched job categories for Remote Machine Learning Engineer jobs in Frisco, TX are:
What cities near Frisco, TX are hiring for Remote Machine Learning Engineer jobs? Cities near Frisco, TX with the most Remote Machine Learning Engineer job openings:
Infographic showing various Remote Machine Learning Engineer job openings in Frisco, TX as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $120,520 per year, or $57.9 per hour.
Distinguished AI Engineer

Distinguished AI Engineer

Elevance Health

Grand Prairie, TX • On-site, Remote

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Elevance Health rating

7.7

Company rating: 7.7 out of 10

Based on 348 frontline employees who took The Breakroom Quiz

183rd of 281 rated insurance


Job description

Distinguished AI Engineer

Location: This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered if candidates reside within a commuting distance from an office.

Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law.

The Distinguished AI Engineer is a highly experienced, hands-on AI individual contributor to design, build, and scale enterprise AI solutions across machine learning, generative AI, and AI agents. This role is for a senior technical expert who can directly develop production-grade AI capabilities while also influencing architecture, delivery models, and engineering practices across the organization. The ideal candidate combines deep technical expertise with strong business acumen and has a proven track record of building reusable AI services at scale. This is not a pure research or management role; we are looking for a hands-on builder who thrives in complex enterprise environments and can help modernize how AI solutions are developed and deployed. The ideal candidate can also make sound buy, build, and integrate decisions across commercial and open-source AI solutions, selecting the right approach based on business need, regulatory requirements, speed to value, and long-term maintainability.

How You Will Make An Impact:

  • Design, develop, and deploy enterprise AI solutions spanning traditional machine learning, generative AI, and agentic AI systems.
  • Architect and deliver scalable, resilient AI solutions leveraging technologies such as agentic systems, large language models (LLMs), distributed systems, and event-driven architectures.
  • Serve as a senior hands-on contributor, technical leader, and subject matter expert across the AI development lifecycle
  • Build reusable AI services, frameworks, accelerators, and reference architectures leveraged across multiple teams and use cases
  • Partner with business domain SMEs, product, engineering, architecture, security, data, and business teams to translate business opportunities into scalable AI solutions
  • Lead buy, build, and integrate decisions across commercial and open-source AI solutions, balancing speed, cost, risk, security, scalability, and strategic differentiation
  • Use modern AI-assisted development tooling to improve speed, quality, and efficiency of solution delivery
  • Guide implementation teams through architecture, design, model selection, evaluation, deployment, and operationalization of AI solutions
  • Mentor junior AI engineers and elevate the broader organization's AI engineering capabilities
  • Influence technical direction across teams through expertise, credibility, and collaboration rather than formal authority
  • Ensure solutions are designed for enterprise requirements including scalability, security, observability, governance, and maintainability
  • Define enterprise-wide technical direction, including architecture patterns, integration standards, and reusable platform capabilities.
  • Lead AI-driven modernization of legacy systems through automated code transformation, service decomposition, and continuous optimization.
  • Design and implement AI-enabled software development lifecycle (SDLC) practices to improve engineering velocity and quality.
  • Establish technical standards, governance frameworks, and best practices for AI systems, including monitoring, evaluation, and responsible AI.
  • Partner with engineering teams and stakeholders to enable adoption of AI-assisted development and drive continuous improvement in system performance and productivity.
  • Provide technical leadership and mentorship while influencing enterprise technology decisions through deep expertise and hands-on engineering.

Minimum Requirements:

  • Requires a bachelor's degree in Information Technology, Computer Science, Engineering, or a related field and a minimum of 15 years of experience in software engineering, including experience leading, designing, implementing, and operating distributed systems and large-scale architectures, or any combination of education and experience which would provide an equivalent background.
  • Experience designing, developing, and maintaining software solutions using Python, Java, or comparable object-oriented programming languages also required, as well as experience designing and implementing APIs, microservices, and event-driven architectures, and applying cloud, CI/CD, and DevOps practices.

Preferred Skills, Capabilities & Experiences:

  • Subject matter expert in machine learning, GenAI, and AI agents.
  • Experience working in a Fortune 100 regulated company, startup, and or top-tier technology firm, ideally in combination.
  • Proven success at building and deploying reusable AI services at scale
  • Experience operationalizing AI in production with MLOps, LLMOps, observability, and governance practices.

For candidates working in person or virtually in the below locations, the salary* range for this specific position is $231,440 - $416,592.
Location(s): Illinois, California, Washington, Virginia, Massachusetts.
In addition to your salary, Elevance Health offers benefits such as a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). The salary offered for this specific position is based on a number of legitimate, non-discriminatory factors set by the Company. The Company is fully committed to ensuring equal pay opportunities for equal work regardless of gender, race, or any other category protected by federal, state, and local pay equity laws.
* The salary range is the range Elevance Health in good faith believes is the range of possible compensation for this role at the time of this posting. This range may be modified in the future and actual compensation may vary from posting based on geographic location, work experience, education, and/or skill level. Even within the range, the actual compensation will vary depending on the above factors as well as market/business considerations. No amount is wages or compensation until such amount is earned, vested, and determinable under the terms and conditions of the applicable policies and plans. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Elevance Health.

Who We Are

Elevance Health is a health company dedicated to improving lives and communities - and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve.

How We Work

At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business.

We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few.

Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process.

The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member-facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws.

Elevance Health is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process may contact elevancehealthjobssupport@elevancehealth.com for assistance.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.

Prospective employees required to be screened under Florida law should review the education and awareness resources at HB531 | Florida Agency for Health Care Administration.


What Elevance Health employees say

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About Elevance Health

Sourced by ZipRecruiter

Elevance Health is a health company dedicated to improving lives and communities - and making healthcare simpler. A Fortune 20 company with a longstanding history in the healthcare industry, we are looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve. You will thrive in a complex and collaborative environment where you take action and ownership to solve problems and lead change. Do you want to be part of a larger purpose and an evolving, high-performance culture that empowers you to make an impact?

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Indianapolis, IN, US

Year founded

2004

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