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Remote Machine Learning Engineer Jobs in Prosper, TX

AI Lead Engineer

Dallas, TX · On-site +1

$101K - $133K/yr

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills * Artificial Intelligence (AI) & Machine Learning (ML) * Deep Learning * Generative AI (GenAI) * Large Language Models (LLMs) * Prompt ...

AI Lead Engineer

Dallas, TX · On-site +1

$101K - $133K/yr

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills Artificial Intelligence (AI) & Machine Learning (ML) Deep Learning Generative AI (GenAI) Large Language Models (LLMs) Prompt ...

Lead Research Engineer

Frisco, TX · On-site +1

$95K - $126K/yr

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

Remote (Preferred: Philippines, Latin America, or North America) Employment Type: Full-Time / ... Candidates with experience in machine learning, large language models (LLMs), AI agents, and ...

AI/ML Engineer - Remote

Dallas, TX · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML ...

We are looking for a motivated and passionate Machine Learning Engineers for our team. As a Senior ML OPS Engineer, you will be joining a team of experienced Machine Learning Engineers that support ...

We are looking for a motivated and passionate Machine Learning Engineers for our team. As a Senior ML OPS Engineer, you will be joining a team of experienced Machine Learning Engineers that support ...

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related technical discipline. - Experience working on applied research projects. - Passion for taking research ...

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related technical discipline. - Experience working on applied research projects. - Passion for taking research ...

Showing results 21-40

Remote Machine Learning Engineer information

See Prosper, TX salary details

$28.8K

$117.9K

$177.2K

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

As of Sep 1, 2026, the average yearly pay for remote machine learning engineer in Prosper, TX is $117,925.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,000.00 and $141,900.00 per year, depending on experience, location, and employer.

What is a remote machine learning engineer?

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.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer?

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 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.

Are remote machine learning engineers still in demand?

Remote machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. Skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch are highly sought after, and many companies continue to hire for remote roles in this field.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for this role. The position typically involves tasks such as data analysis, model development, and collaboration through online tools, making remote work feasible with strong communication skills and proficiency in programming languages like Python or frameworks like TensorFlow. However, some roles may require occasional on-site meetings or access to specialized hardware.

What are popular job titles related to Remote Machine Learning Engineer jobs in Prosper, TX?

For Remote Machine Learning Engineer jobs in Prosper, TX, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Engineer jobs in Prosper, TX look for?

The top searched job categories for Remote Machine Learning Engineer jobs in Prosper, TX are:

What cities near Prosper, TX are hiring for Remote Machine Learning Engineer jobs?

Cities near Prosper, TX with the most Remote Machine Learning Engineer job openings:

Infographic showing various Remote Machine Learning Engineer job openings in Prosper, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $117,925 per year, or $56.7 per hour.

Full-time

Posted 6 days ago


ADT rating

7.0

Company rating: 7.0 out of 10

Based on 139 frontline employees who took The Breakroom Quiz

44th of 118 rated security


Job description

Summary:

The Director of AI ML will be a key strategic and technical leader within ADT's Data & AI organization. This individual will be responsible for leading a high-performing team of data scientists and machine learning engineers to tackle our most challenging business and technical problems. Leveraging deep expertise in statistical modeling, machine learning, and scalable AI, the Director will translate ADT's vast data assets-from smart home IoT telemetry to customer touchpoints-into actionable business value and predictive products. 

The ideal candidate is an inspiring people leader, a hands-on strategic thinker, and a creative problem-solver. This role requires a strong balance of technical depth, people management, and the business acumen necessary to collaborate closely with executive stakeholders while delivering within real-world constraints

Duties and Responsibilities:

  • Team Leadership & People Management: Build, lead, and inspire a world-class team of data scientists; provide active mentorship, career development, and technical guidance. 
  • Strategic AI/ML Roadmap: Define and execute the data science roadmap, aligning technical initiatives with ADT's broader business goals, customer retention strategies, and product development.
  • End-to-End Delivery: Oversee complex data science projects from conception through to deployment, ensuring models are scalable, robust, and successfully integrated into production systems.
  • Advanced Technical Stewardship: Ensure the team applies rigorous statistical modeling, machine learning, and data mining techniques to drive measurable business growth.
  • Cross-Functional Collaboration: Partner closely with Marketing, Sales, Operations, and Executive leadership to identify high-impact business opportunities and design AI-driven solutions.
  • Data Pipeline & Infrastructure Strategy: Collaborate with data platform and engineering teams to champion modern MLOps practices, streamline data pipelines, and improve experimental velocity.
  • Executive Communication: Translate highly technical and complex data science concepts, model performance metrics, and strategic recommendations to both technical and non-technical audiences.
  • Measurement & Experimentation: Champion experimental design (A/B testing) and advanced measurement strategies to robustly validate the impact of deployed data products. 
  • Education: Master's degree or PhD (preferred) in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline.
  • Experience: 10+ years of hands-on experience in data science, with at least 3+ years of direct people management experience leading technical teams.
  • Proven Track Record: Successfully led the development and deployment of major, production-grade data products or machine learning models that drove measurable revenue growth, cost savings, or operational efficiency.

Minimum Qualifications:

  • Technical Depth: Proficient in statistical modeling, machine learning techniques, and programming languages like Python, with a strong understanding of cloud data architectures Google Cloud Platform (GCP), specifically Vertex AI (Pipelines, Feature Store, Model Registry), BigQuery, and Google Cloud Storage (GCS). 

  • Leadership & Communication: Exceptional leadership, communication, and collaboration skills, with a proven ability to influence executive stakeholders and cross-functional partners. 

Communication Skills:

  • Writing, Talking/Hearing on the phone (Continually=67-100% of workday)

Environment Requirements: 

  • Remote/Home office (Continually=67-100% of the workday)


What ADT employees say

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Benefits

Hours and flexibility

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About ADT

Sourced by ZipRecruiter

At ADT Commercial, we are in the business of helping people and organizations to protect what matters most to them. Building upon ADT's 145-year legacy, we secure the livelihoods and futures of critical commercial environments, retail location, educational campuses, healthcare facilities and financial institutions across the U.S. as an industry-leading security, fire and life safety systems integrator. We strive to have the most experienced and technically trained and talented teams in the industry, driven by excellence at every turn. At ADT Commercial, we truly believe that our people are the difference - for our organization, the customers we serve and the communities we protect. When you're a part of ADT Commercial, you'll have the opportunity to be a part of that difference every day. With more than 300 locations, a deep national presence, and comprehensive portfolio of solutions and services, our employees are always poised for career advancement and growth. For more information, visit www.adtcommercial.com or follow us on LinkedIn and Facebook.

Industry

Personal services

Company size

10,000+ Employees

Headquarters location

Boca Raton, FL, US

Year founded

1874