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Flexible Remote Machine Learning Engineer Jobs in Dallas, TX

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 ...

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related ... Vacation. - Flexible hours and Work from Home support. - Daily drinks, snacks and catered meals ...

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related ... Vacation. - Flexible hours and Work from Home support. - Daily drinks, snacks and catered meals ...

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related ... Vacation. - Flexible hours and Work from Home support. - Daily drinks, snacks and catered meals ...

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 ...

Senior / Staff Perception Engineer

Dallas, TX · On-site +1

$158K - $269K/yr

... machine learning, computer vision, and self-driving technologies, and apply insights from the ... Vacation. - Flexible hours and Work from Home support. - Daily drinks, snacks and catered meals ...

Senior Data Engineer Remote Work *Must be a US Citizen* & have a USA Passport Primary ... Experience supporting machine learning workflows or analytical data science pipelines * Knowledge ...

Senior AI Engineer

Dallas, TX · On-site +1

$103K - $142K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... The Senior AI Engineer 1 (Senior Staff) leads the development of advanced AI and machine learning ...

Sr/Staff Data Scientist (Remote - US)

TX · On-site +1

$165K - $300K/yr

Lead the development and deployment of advanced machine learning models to forecast outcomes and ... Advanced proficiency in programming languages such as Python, R, SQL, and Java. * Demonstrated ...

Showing results 41-60

Flexible Remote Machine Learning Engineer information

See Dallas, TX salary details

$31.2K

$127.4K

$191.4K

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

As of Aug 8, 2026, the average yearly pay for flexible remote machine learning engineer in Dallas, TX is $127,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,400.00 and $153,300.00 per year, depending on experience, location, and employer.

How does a flexible remote work arrangement impact collaboration and project delivery for machine learning engineers?

In a flexible remote setting, Machine Learning Engineers often rely on digital collaboration tools to communicate with team members and manage projects. This setup allows for asynchronous work, enabling engineers to focus deeply on model development and data analysis without constant interruptions. However, it also means proactively scheduling check-ins and maintaining clear documentation are crucial to ensure alignment across distributed teams. While remote work offers autonomy and work-life balance, successful engineers build strong communication habits to keep projects on track and foster effective collaboration with data scientists, product managers, and software engineers.

What is a flexible remote machine learning engineer?

A Flexible Remote Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models while working remotely, often with flexible hours. They use programming, data analysis, and statistical skills to create algorithms that solve real-world problems, collaborating with teams through digital communication tools. This role allows for a better work-life balance and can be performed from anywhere with a reliable internet connection. Flexible remote positions are especially popular in the tech industry, where project-based work and results matter more than strict office hours.

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

AspectFlexible Remote Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, ML, or related fields; experience with ML frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentRemote, collaborative teams, project-basedRemote or on-site, data analysis-focused
Industry UsageTech, finance, healthcare, e-commerceTech, marketing, finance, research
Common Search IntentRoles involving ML model development and deploymentRoles focused on data analysis and insights

The main difference is that a Flexible Remote Machine Learning Engineer primarily develops and deploys machine learning models, while a Data Scientist focuses on analyzing data to generate insights. Both roles often require similar educational backgrounds and can be remote, but their core responsibilities differ in application and focus.

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

To thrive as a Flexible Remote Machine Learning Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data pipelines are essential, and certifications in machine learning or cloud technologies can be advantageous. Excellent communication, self-motivation, and time management skills help you collaborate effectively and stay productive in a remote, flexible work environment. These skills ensure you can independently deliver high-quality ML solutions, maintain clear team communication, and adapt to evolving project requirements.
What are popular job titles related to Flexible Remote Machine Learning Engineer jobs in Dallas, TX? For Flexible Remote Machine Learning Engineer jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Flexible Remote Machine Learning Engineer jobs in Dallas, TX look for? The top searched job categories for Flexible Remote Machine Learning Engineer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Flexible Remote Machine Learning Engineer jobs? Cities near Dallas, TX with the most Flexible Remote Machine Learning Engineer job openings:
Infographic showing various Flexible Remote Machine Learning Engineer job openings in Dallas, TX as of June 2026, with employment types broken down into 50% Full Time, 44% Part Time, 1% Temporary, and 5% Contract. Highlights an 48% Physical, 3% Hybrid, and 49% Remote job distribution, with an average salary of $127,383 per year, or $61.2 per hour.

AI Engineering Associate Director

NTT DATA Services

Plano, TX • Remote

$242K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


NTT Data rating

7.4

Company rating: 7.4 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

117th of 223 rated it services


Job description

Req ID: 375272 

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 Engineering Associate Director 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

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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