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

Addison Group

Sr. Software Engineer

Dallas, TX · Remote

$170K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Kemper

SVP, Chief Technology Officer (CTO)

Dallas, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... IL, Remote-MI, Remote-NJ, St. Louis, Missouri Details Kemper is one of the nation's leading ... Lead enterprise implementation of Generative AI, Machine Learning, Intelligent Automation, and ...

DomainTools

Senior Software Engineer

Dallas, TX · Remote

$125K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

HiddenLayer

Enterprise Account Director- TOLA

Dallas, TX · On-site +1

Deep understanding of AI security concepts, including machine learning, threat detection, anomaly ... Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional ...

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HedgeServ

Treasury Supervisor

Dallas, TX · On-site +1

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 ...

IT America Inc

Full Stack Developer

Dallas, TX · Remote

Remote Duration: Long term contract We are seeking a highly skilled Full Stack Developer with over ... Deploy, scale, and monitor machine learning workloads on AWS (SageMaker, Lambda, or ECS)

HedgeServ

Treasury Manager

Dallas, TX · On-site +1

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 ...

HedgeServ

Compliance Associate

Dallas, TX · On-site +1

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 ...

Munich Re

Data Scientist

Arlington, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI solutions that shape strategy and outcomes. American Modern Insurance Group, Inc., a Munich Re company ...

NLP Logix

Account Executive

Dallas, TX · Remote

$90K - $170K/yr

Account Executive Location: Remote -- Dallas-Fort Worth Area This is a remote position for ... We help clients solve complex business problems through AI, machine learning, advanced analytics ...

Trace3

Solution Architect | GRC (Remote)

Dallas, TX · Remote

$62.25 - $82/hr

Advise organizations on the governance, risk, security, privacy, and compliance implications of artificial intelligence, machine learning, generative AI, and agentic AI. * Monitor and inform the ...

Sophos

Sales Development Representative

Dallas, TX · Remote

$47K - $79K/yr

Its solutions combine machine learning, automation, and real-time threat intelligence with ... Sophos operates a remote-first working model, making remote work the primary option for most ...

Hallmark Health Care Solutions

AI Software Engineer

Dallas, TX · On-site +1

$115K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Remote Reporting To: Atul Jain Compensation: $115,000 - $137,500 / year Description At Hallmark ... Machine Learning, or related field. * 6+ years of software engineering experience with at least 3+ ...

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Showing results 41-60

All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Burleson, TX

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 Aug 14, 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.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for data science and AI roles. These positions typically require strong programming skills, experience with tools like Python and TensorFlow, and the ability to collaborate virtually using communication platforms. Remote work in this field is common, especially for roles focused on model development, data analysis, and deployment.
More about Remote Machine Learning jobs

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

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

Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Burleson, TX as of August 2026, with employment types broken down into 14% Internship, 44% Full Time, and 42% Contract. Highlights an 100% Remote job distribution, with an average salary of $37,429 per year, or $18 per hour.

Sr. Software Engineer

Addison Group

Dallas, TX • Remote

$170K - $220K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago

Job description

Job Title: Senior Software Engineer – Cloud Infrastructure / Network Automation

Industry: Cloud Infrastructure, High-Performance Computing (HPC), Software Engineering

Location (City, State): Hybrid (3 days onsite, 2 days remote)

Assignment Type: Direct Hire

Pay: $170,000–$220,000 base salary, plus performance bonus

Work Schedule: Full-time | Hybrid schedule (3 days onsite, 2 days remote)

Benefits: This position is eligible for medical, dental, vision, and 401(k).

About The Company

Our client is an innovative technology organization focused on building scalable cloud infrastructure and distributed computing solutions. Their engineering teams work on cutting-edge technologies that power modern infrastructure, automation, and high-performance computing environments. They offer a collaborative, engineering-driven culture where innovation, ownership, and teamwork are highly valued.

Job Description

We are seeking an experienced Senior Software Engineer to help design and develop modern infrastructure platforms, automation tools, and backend services supporting large-scale cloud environments. This is a hands-on engineering position where you'll collaborate with cross-functional teams to build reliable, scalable solutions while working with the latest cloud-native technologies.

Key Responsibilities

  • Develop software that automates infrastructure deployment, provisioning, and lifecycle management.
  • Design and build scalable backend applications and internal engineering tools.
  • Create automation solutions that improve operational efficiency across cloud environments.
  • Collaborate with network, platform, and security teams on infrastructure initiatives.
  • Develop APIs and services that enable self-service capabilities for internal engineering teams.
  • Implement Infrastructure-as-Code and automation best practices.
  • Integrate automated testing and deployment into CI/CD pipelines.
  • Participate in software architecture discussions and technical decision-making.
  • Monitor, troubleshoot, and improve system reliability and performance.
  • Contribute to distributed systems supporting large-scale compute workloads.

Qualifications

  • 5+ years of professional software engineering experience.
  • Strong experience developing backend applications in Go, Python, Java, C++, or Rust.
  • Hands-on experience working in Linux environments.
  • Experience with Kubernetes or other container orchestration platforms (EKS, AKS, ECS, GKE, etc.).
  • Solid understanding of cloud infrastructure and distributed systems.
  • Experience building APIs, automation platforms, or infrastructure services.
  • Knowledge of software engineering best practices, including testing, version control, and CI/CD.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent collaboration and communication abilities.

Additional Details

Preferred experience includes:

  • Network automation or infrastructure engineering
  • Infrastructure-as-Code tools such as Terraform or Ansible
  • Data center networking concepts
  • TCP/IP, DNS, HTTP, load balancing, or network security
  • Monitoring, observability, and telemetry platforms
  • Event-driven architectures and messaging systems
  • High-performance computing (HPC) or distributed computing environments
  • Open-source software contributions
  • AI or machine learning applications related to infrastructure

Candidates should have a stable work history, enjoy solving complex technical challenges, and thrive in collaborative engineering environments.

Perks

  • Competitive annual performance bonus
  • Employer-paid medical benefits for employees and families
  • 401(k) with generous company match
  • Company HSA contribution
  • 25 days of paid time off plus company holidays
  • Paid parental leave
  • Wellness and fitness membership
  • Daily lunch benefit while working onsite
  • Relocation assistance available for qualified candidates
  • Opportunity to work with modern cloud technologies and highly technical engineering teams