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Remote Senior Machine Learning Engineer Jobs in Leander, TX

Hired Recruiters

Senior DevOps Engineer

Austin, TX · On-site +1

$128K - $165K/yr

Remote * Salary $150k - $200k * Seed Company * Skills: Ansible, Bash, Python, Terraform, Docker ... machine learning architecture. * Have an expert level understanding of Terraform and Ansible in ...

Qvest US

Senior Engineer (Applied AI / ML)

Austin, TX · Remote

$107K - $146K/yr

Machine Learning Foundations & Model Adaptation: Bring a strong grounding in machine learning ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Hired Recruiters

Senior Software Engineer

Austin, TX · On-site +1

$121K - $160K/yr

Experience with fintech, data engineering, accounting systems, machine learning and/or 2-sided ... Located and able to work in SF Bay Area (with remote opportunities) Job Responsibilities Overall:

Hired Recruiters

Senior Software Engineer

Austin, TX · On-site +1

$121K - $160K/yr

Experience with fintech, data engineering, accounting systems, machine learning and/or 2-sided ... Located and able to work in SF Bay Area (with remote opportunities) Job Responsibilities Overall:

YO AI Labs

AI/ML Engineer - Remote

Austin, 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 ...

HEB

Senior Software Engineer-Engineering Enablement

Austin, TX · On-site +1

$121K - $160K/yr

Databases & Cloud Infrastructure (Private & Public) Machine Learning & AI Platform Enablement We're looking for experienced Senior Software Engineers who operate as technical leaders , capable of ...

HEB

Senior Software Engineer-Engineering Enablement

Austin, TX · On-site +1

$121K - $160K/yr

Databases & Cloud Infrastructure (Private & Public) Machine Learning & AI Platform Enablement We're looking for experienced Senior Software Engineers who operate as technical leaders , capable of ...

Symbotic

Senior Manufacturing Engineer

Austin, TX · Remote

$90K - $123K/yr

... bi-weekly. #LI-TS1 #LI-Remote About Symbotic Symbotic is an automation technology leader ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

New

ActivTrak

Senior Data Scientist

Austin, TX · Remote

We're growing our Data Science team to ship production machine learning that powers ActivTrak ... Data Engineering owns the pipeline infrastructure, orchestration, deployment mechanisms, 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 Leander, TX

Remote Senior Machine Learning Engineer information

See Leander, TX salary details

$72.1K

$136.9K

$183.5K

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

As of Sep 4, 2026, the average yearly pay for remote senior machine learning engineer in Leander, TX is $136,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,000.00 and $154,300.00 per year, depending on experience, location, and employer.

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.

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 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 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 popular job titles related to Remote Senior Machine Learning Engineer jobs in Leander, TX?

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

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

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

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

Cities near Leander, 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 Leander, TX as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $136,916 per year, or $65.8 per hour.

Senior DevOps Engineer

Hired Recruiters

Austin, TX • On-site, Remote

$128K - $165K/yr

Full-time

Re-posted 20 days ago

Job description

Senior DevOps for Pienso
  • Funding $7M
  • Founded 2016
  • Remote
  • Salary $150k - $200k
  • Seed Company
  • Skills: Ansible, Bash, Python, Terraform, Docker, AWS, GCP, Azure
  • Citizenship and Green card only

You will work on cutting-edge technology to help architect Pienso's on-premise and multi-cloud infrastructure. You will help define best principles and practices for our microservices initiatives while building out a high-performance horizontally scaled machine learning architecture.
  • Have an expert level understanding of Terraform and Ansible in order to support both multi-cloud and on-premise customers.
  • Work closely with the core engineering team to iterate on existing Docker Swarm infrastructure and Jenkins CI pipelines strategies.
  • Have an expert-level understanding of AWS / GCP / Azure and related tooling.
  • Bring an expert-level understanding of Docker containerization and orchestration.
  • Ensure continued success of our containerization strategy by advising on persistence and parameterization requirements for new services.
  • Advise on infrastructure goals while keeping an eye on developer productivity and security.
  • Help ensure operational integrity by advising on uptime requirements, data backups, maintenance planning, and swarm migration strategies.

Requirements:
  • 5+ years of production DevOps experience
  • 3+ years of traditional software development experience
  • Professional experience with each of the major cloud providers ( GCP / Azure / AWS )
  • Must be fluent in Terraform / Ansible / Bash / Python
  • Strong understanding of Postgres Administration
  • Experience building and maintaining distributed microservices; debugging and monitoring live production environments with Docker.
  • Experience working at a venture-backed early-stage startup
  • B.S., or M.S., in Computer Science or equivalent work experience.

Our Stack:
  • Infrastructure: Terraform / Ansible / Docker Swarm / AWS / GCP / Azure
  • Languages: Python / JavaScript / TypeScript / Node
  • Storage: PostgreSQL / Redis / Elasticsearch / Minio
  • MicroServices / Continuous Deployment
  • On-Premise first / Multi Cloud

Apply