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Remote Senior Machine Learning Engineer Jobs in DeSoto, TX

Addison Group

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 ...

Tiger Analytics Inc.

ML Ops Architect

Dallas, TX · On-site +1

As a Senior ML OPS Engineer, you will be joining a team of experienced Machine Learning Engineers that support, build, and enable Machine capabilities across the organization. You will work closely ...

Tiger Analytics Inc.

ML Ops Architect

Dallas, TX · Remote

As a Senior ML OPS Engineer, you will be joining a team of experienced Machine Learning Engineers that support, build, and enable Machine capabilities across the organization. You will work closely ...

Waabi

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

Senior engineers are welcome to apply. You will... - Prototype, evaluate, and iterate on solutions ... Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related ...

Waabi

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

Senior engineers are welcome to apply. You will... - Prototype, evaluate, and iterate on solutions ... Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related ...

Waabi

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

Senior engineers are welcome to apply. You will... - Prototype, evaluate, and iterate on solutions ... Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related ...

DomainTools

Senior Software Engineer

Dallas, TX · Remote

$125K - $165K/yr

DomainTools is hiring a Senior Software Engineer to join our Engineering Team. This role is perfect ... Experience with data mining or machine learning techniques * Experience with text codec, encoding ...

Delan Associates, Inc.

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 ...

Delan Associates, Inc

AI Lead Engineer

Dallas, TX · Remote

$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 ...

Crowe LLP

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 ...

Elevance Health

Research Scientist Senior

Grand Prairie, TX · On-site +1

$93K - $118K/yr

Develops scalable machine learning and reinforcement learning systems that improve healthcare ... Partners effectively across business, research, engineering, analytics, and product teams.

New

Performacentric

Full Stack Developer

Dallas, TX · On-site +1

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 ...

VetsEZ

Senior Business Analyst (Remote Opportunity)

Dallas, TX · On-site +1

$91K - $118K/yr

Experience supporting AI or machine learning-enabled healthcare solutions, responsible AI and data ... Azure DevOps or Jira, requirements management tools, AI-assisted requirements validation and ...

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Showing results 21-40

All JobsMachine Learning Engineer JobsRemote Senior Machine Learning Engineer JobsRemote Senior Machine Learning Engineer Jobs in DeSoto, TX

Remote Senior Machine Learning Engineer information

See DeSoto, TX salary details

$73.9K

$140.2K

$187.9K

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

As of Aug 14, 2026, the average yearly pay for remote senior machine learning engineer in DeSoto, TX is $140,234.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,900.00 and $158,100.00 per year, depending on experience, location, and employer.

How do remote senior machine learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

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

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

What are the key skills and qualifications needed to thrive as a remote senior machine learning engineer, and why are they important?

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

What does a remote senior machine learning engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.

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

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

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

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

Remote Senior Machine Learning Engineer jobs near you
Infographic showing various Remote Senior Machine Learning Engineer job openings in DeSoto, TX as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 24% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $140,234 per year, or $67.4 per hour.

Sr. Software Engineer

Addison Group

Dallas, TX • Remote

$170K - $220K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 16 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