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

Account Executive

Dallas, TX · Remote

$150K - $250K/yr

This position is remote for candidates who currently live in the Dallas-Fort Worth area and ... Experience selling AI, machine learning, advanced analytics, or data consulting services is ...

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 ...

Solid understanding of statistical modeling and machine learning concepts, including model training ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Translate engineering requirements into structured CAD data suitable for AI learning and validation ... CNC machining. * Casting and forging. * Assembly modeling. * CAD editing and feature tree ...

Senior Software Engineer (Remote)

Dallas, TX · Remote

$121K - $159K/yr

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops ... Familiarity with LLMs, AI agents, embeddings, or other machine-learning capabilities and their ...

Sr. Software Engineer

Dallas, 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 ...

Senior Software Engineer

Dallas, TX · Remote

$125K - $165K/yr

Experience with data mining or machine learning techniques * Experience with text codec, encoding & web protocols * Bash, Scala, C, or Hive development experience * Experience with full stack ...

Showing results 41-60

Remote Machine Learning information

See Burleson, TX salary details

$22.4K

$37.4K

$77.3K

How much do remote machine learning jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote machine learning in Burleson, TX is $37,429.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,600.00 and $40,400.00 per year, depending on experience, location, and employer.

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.

What are the most commonly searched types of Machine Learning jobs in Burleson, TX?

The most popular types of Machine Learning jobs in Burleson, TX are:

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

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

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

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

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

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

Infographic showing various Remote Machine Learning job openings in Burleson, TX as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $37,429 per year, or $18 per hour.

Director Electrical Engineering

Integra Mission Critical

Dallas, TX • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Posted 16 days ago


Key responsibilities

  • Oversee the design, operation, and reliability of electrical infrastructure components such as utility service entrance systems, substations, switchgear, UPS systems, BESS, and power distribution systems.

  • Lead engineering efforts supporting high-density AI, GPU clusters, machine learning infrastructure, and high-performance computing environments, including reviewing designs and ensuring compliance with standards.

  • Support commissioning and construction activities by verifying electrical systems and supporting integrated systems testing and project execution.


Job description

Location: Dallas, TX

Department: DEPENG

The Opportunity

The Director of Electrical Engineering is responsible for leading the design, development, implementation, operation, and optimization of electrical infrastructure supporting hyperscale, colocation, and AI-focused data center projects. This position provides strategic and technical leadership for mission-critical electrical systems that support high-density computing environments, GPU clusters, artificial intelligence workloads, machine learning platforms, cloud infrastructure, and next-generation digital technologies.

This role oversees engineering teams responsible for medium- and high-voltage electrical systems, power generation, substations, switchgear, UPS systems, battery energy storage systems (BESS), renewable energy integration, power distribution architecture, energy efficiency programs, and electrical reliability initiatives. The Director ensures all designs meet the highest standards for resiliency, scalability, sustainability, safety, and operational excellence while delivering uptime requirements of Tier III and Tier IV data center environments.

The Director serves as the organization's subject matter expert for mission-critical electrical infrastructure and partners with operations, construction, commissioning, development, sustainability, and executive leadership teams to support strategic growth initiatives.

What you will do?

Develop and execute electrical engineering strategies that support AI, hyperscale, cloud, and mission-critical data center operations while establishing long-term infrastructure roadmaps to meet future AI computing demands and increased rack power densities. This role leads the evaluation and implementation of emerging technologies related to AI infrastructure, electrical resiliency, and energy optimization, and advises executive leadership on infrastructure investments, capacity planning, scalability strategies, and risk mitigation. The Director is also responsible for developing engineering standards, policies, procedures, and design guidelines to ensure consistency, reliability, and operational excellence across the organization. The Director will lead the electrical team and mentor subject matter experts, electrical engineers and designers that support the overall organizational needs.

Electrical Infrastructure Design and Operations Oversight

  • Oversee the design, operation, and reliability of utility service entrance systems, high-voltage transmission connections, substations, transformer yards, medium- and low-voltage distribution systems, generator plants, UPS systems, Battery Energy Storage Systems (BESS), static transfer switches, automatic transfer switches, switchgear, switchboards, Power Distribution Units (PDUs), Remote Power Panels (RPPs), busway systems, rack-level electrical distribution, grounding and bonding systems, arc flash mitigation programs, and power monitoring and energy management systems.

AI and High-Density Computing Infrastructure Support

  • Lead engineering efforts supporting NVIDIA GPU clusters, AI training environments, machine learning infrastructure, high-performance computing (HPC) systems, large-scale cloud operations, high-density server deployments, liquid-cooled computing environments, direct-to-chip cooling applications, , high-density racks exceeding 50 kW, 80 kW, and 120+ kW capacities, and next-generation power architectures for AI data centers.

Engineering Design and Technical Oversight

  • Lead multidisciplinary engineering teams in the development of conceptual, preliminary, and detailed electrical designs.
  • Review and approve engineering drawings, calculations, and specifications.
  • Ensure compliance with operational resiliency and redundancy standards.
  • Establish electrical design standards for new construction and retrofit projects.
  • Manage engineering support during commissioning and startup activities.
  • Ensure compliance with all client and regulatory requirements.

Reliability and Uptime Management

  • Ensure infrastructure designs meet Tier III and Tier IV reliability objectives.
  • Drive initiatives achieving 99.999% uptime objectives.
  • Manage electrical risk assessments and infrastructure resiliency studies.

Energy and Sustainability Leadership

  • Lead implementation of sustainability initiatives.
  • Evaluate solar, wind, battery, and microgrid technologies.
  • Improve Power Usage Effectiveness (PUE).

Utility and Grid Integration

  • Utilize internal Substation team to manage utility interconnection projects.
  • Support transmission and distribution planning activities.
  • Coordinate electrical capacity expansion efforts.
  • Utilize internal Substation team to lead utility negotiations and infrastructure planning efforts.
  • Review load forecasting and energy demand projections generated by internal team.

Commissioning and Construction Support

  • Support integrated systems testing (IST).
  • Support construction teams during project execution.
  • Verify electrical systems perform as designed before operational turnover.

Supervisory Responsibilities

  • Lead Electrical Engineering Managers.
  • Supervise Senior Electrical Engineers.
  • Oversee Design Engineers and Engineering Specialists.
  • Manage Commissioning Engineers.
  • Develop departmental staffing plans.
  • Conduct performance management and succession planning.
  • Build and mentor high-performing engineering teams.

Required Qualifications

  • Bachelor's Degree in Electrical Engineering from an accredited university.
  • Masters degree in electrical engineering, MBA, or Master's Degree in Power Systems Engineering.
  • 15+ years of electrical engineering experience,10+ years leading engineering teams within mission-critical environments,
  • Experience supporting hyperscale, colocation, or enterprise data centers.
  • Experience with AI data center infrastructure development.
  • Experience supporting facilities exceeding 50 MW of critical load.
  • Experience with medium-voltage and high-voltage infrastructure design.
  • Experience leading large-scale capital projects exceeding $100M.

Licenses and Certifications Preferred

  • Professional Engineer (PE) License.
  • Certified Energy Manager (CEM).
  • Data Center Certified Associate (DCCA).
  • Data Center Professional (CDCP).
  • Certified Data Centre Expert (CDCE).
  • PMP Certification.

How we support you

We believe your best work happens when you feel supported - professionally, personally, and financially. Thats why we offer a range of benefits designed to help you thrive, stay healthy, and plan for the future.

  • Performance-driven rewards Competitive pay with incentive opportunities that recognize your results and contributions.
  • Comprehensive healthcare Medical, dental, and vision coverage that supports you and your familys total well-being.
  • Security and peace of mind Life and disability insurance programs that provide protection when it matters most.
  • Flexible benefits options A variety of voluntary benefits so you can personalize coverage to fit your needs.
  • Time to recharge Generous paid time off to relax, travel, and maintain a healthy work-life balance.
  • Investing in your growth Education assistance and tuition support to help you build skills and advance your career.
  • Planning for the future Retirement and savings programs that help you achieve long-term financial confidence.

Come build with us

At Integra, were driven by a vision to transform the data center industry. We specialize in delivering optimized turnkey solutions that bring together speed, quality, and reliability - helping our clients build and operate the mission-critical infrastructure that powers todays digital world. Integra is a vertically integrated company - owning and managing every phase of the process from site selection and design to manufacturing, procurement, commissioning, and warranty. This approach allows us to move faster, solve challenges more efficiently, and deliver exceptional outcomes for our partners.

What truly sets Integra apart is our people. We are a team of problem-solvers, engineers, builders, and operators who thrive on tackling complex challenges and delivering results. Our culture values collaboration, accountability, and continuous improvement - because in a rapidly evolving digital landscape, excellence and adaptability matter.

Joining Integra means being part of a company that is shaping the future of data center infrastructure. If youre passionate about innovation, impact, and building systems the world depends on, youll find the opportunity to grow and make a difference here.

Equal Opportunity Statement

Integra provides equal employment opportunities for all people. No employee or applicant for employment will be discriminated against because of race, creed, origin, marital status, sexual orientation, age, otherwise qualified disabled or veteran status or any other characteristic protected by law. If you are a qualified applicant who requires reasonable accommodation to complete a job application, pre-employment testing, a job interview or to otherwise participate in the hiring process, please contact talent_acquisition@integra.com