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Mlops Engineer Remote Jobs in Texas (NOW HIRING)

Staff Software Engineer

Austin, TX ยท On-site +1

$470K - $615K/yr

MLOps. Building the infrastructure that lets ML move from notebook to production: feature and data ... Hybrid work structure Rokt has a 4 day in-office, 1 day remote hybrid structure, with a flexible ...

Staff Software Engineer

Austin, TX ยท On-site +1

$470K - $615K/yr

MLOps. Building the infrastructure that lets ML move from notebook to production: feature and data ... Hybrid work structure Rokt has a 4 day in-office, 1 day remote hybrid structure, with a flexible ...

Senior Engineer (Applied AI / ML)

Austin, TX ยท On-site +1

$103K - $142K/yr

Experience in ML / Applied AI tools and patterns including LLM, MLOps, RAG * Experience using ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Sr Data Scientist GenAI

Dallas, TX ยท On-site +1

$150K - $210K/yr

... Engineers, MLOps, software engineering, product, compliance, legal etc., to move models from ... This position is temporarily remote. Compensation: $150,000.00 - $210,000.00 per year About Us We ...

Senior Data Scientist, Applied ML

Austin, TX ยท On-site +1

$154K - $200K/yr

Deeper MLOps/DevOps/data engineering exposure: infra-as-code, CI/CD depth, etc. * Familiarity with ... In addition to our engaging workspace in South Austin, flexible and remote-friendly work options ...

Lead Software Engineer

Austin, TX ยท On-site +1

$110K - $216K/yr

Expertise in cloud platforms (AWS, GCP, or Azure), API architecture, and modern MLOps practices ... REMOTE #LI-GC1 (Pay Transparency Range:$110,000.00 - $216,000.00) Compensation Transparency The ...

AI Engineer (Commercial & MTO) Experience level: 10 + years Job Summary AI Engineer (Commercial ... Cloud & MLOps: 5+ years of experience deploying models using cloud platforms such as AWS , Azure ...

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

Nashville, TN or Dallas, TX or Remote What You'll Do: Execute the Intelligence Vision & Strategy ... Track record of building and scaling high-performing teams (data engineering, data science ...

AI Developer

San Antonio, TX ยท On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0243274 Location: San Antonio,TX,US Share job via: Share AI Developer ... Ability to implement MLOps or DevSecOps practices such as CI/CD, containerization, automated ...

AI Developer

San Antonio, TX ยท On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0243553 Location: San Antonio,TX,US Share job via: Share AI Developer ... Ability to implement MLOps or DevSecOps practices such as CI/CD, containerization, automated ...

Showing results 41-60

Mlops Engineer Remote information

What are common challenges faced by remote MLOps engineers, and how can they be addressed?

Remote MLOps Engineers often encounter challenges related to communication and collaboration, especially when coordinating with data scientists, developers, and operations teams across different time zones. To overcome these challenges, it's essential to establish clear documentation practices, utilize collaborative platforms for workflow management, and schedule regular virtual meetings to ensure alignment. Additionally, maintaining strong version control and automated CI/CD pipelines helps streamline model deployment and monitoring, reducing friction caused by remote coordination. Building proactive communication habits and leveraging cloud-based tools can significantly improve efficiency and team cohesion.

What is the difference between Mlops Engineer Remote vs Data Engineer?

AspectMlops Engineer RemoteData Engineer
Required CredentialsBachelor's in CS, Data Science, or related; experience with cloud platforms and ML toolsBachelor's in CS, Data Engineering, or related; strong SQL and ETL skills
Work EnvironmentRemote, collaborative teams, cloud-based infrastructureRemote or on-site, data pipelines, cloud or on-premises systems
Industry UsageTech, AI, ML-focused companiesFinance, healthcare, tech, and other data-driven industries

While both roles involve working with data and cloud platforms, Mlops Engineers focus on deploying and maintaining machine learning models in production, often working remotely with ML-specific tools. Data Engineers primarily build and manage data pipelines and infrastructure. The roles overlap in cloud experience and data handling but differ in their core focus areas.

What does an MLOps engineer do in a remote role?

An MLOps Engineer is responsible for streamlining and automating the deployment, monitoring, and management of machine learning models in production environments. Working remotely, they collaborate with data scientists, software engineers, and IT teams using cloud-based tools to ensure that ML models are scalable, reliable, and maintainable. Their tasks often include setting up CI/CD pipelines for ML workflows, managing model versioning, and monitoring model performance over time. Remote MLOps Engineers leverage communication and project management tools to stay aligned with distributed teams and ensure seamless operations.

What are the key skills and qualifications needed to thrive as a remote MLOps engineer?

To thrive as an MLOps Engineer, you need a solid background in machine learning, software engineering, and cloud infrastructure, typically supported by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, and cloud platforms such as AWS or Azure, as well as certifications in cloud services or DevOps, are highly valuable. Strong problem-solving, collaboration, and communication skills help you bridge the gap between data science and operations teams in a remote setting. These competencies are crucial for building scalable, reliable machine learning systems that deliver real-world value efficiently.
What are the most commonly searched types of Mlops Engineer jobs in Texas? The most popular types of Mlops Engineer jobs in Texas are:
What job categories do people searching Mlops Engineer Remote jobs in Texas look for? The top searched job categories for Mlops Engineer Remote jobs in Texas are:
What cities in Texas are hiring for Mlops Engineer Remote jobs? Cities in Texas with the most Mlops Engineer Remote job openings:
Infographic showing various Mlops Engineer Remote job openings in Texas as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% Remote job distribution.

Staff Software Engineer

Rokt

Austin, TX โ€ข On-site, Remote

$470K - $615K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Job description

Description

Rokt is an ecommerce technology company with the mission of making every transaction more relevant. The Rokt ecommerce Network leverages proprietary machine learning recommendation systems, powering billions of transactions for hundreds of millions of customers, and is trusted to do this by companies like Live Nation, Fanatics, Macy's, AMC Theatres, PayPal, Uber, Hulu, Staples, Albertsons and HelloFresh.

The Role: As a Staff Software Engineer on one of Rokt's core platform teams, you will lead the architecture, design, and delivery of the scalable services behind Rokt's ecommerce platform, setting technical direction across teams for systems that power over 10 billion transactions a year.

Growth: Pathways to Principal Software Engineer (IC Track) and Engineering Manager/Director (People Leader Track) per your preferences and abilities.

Pay: Target total compensation ranges from $470k - $615k, comprised of a fixed annual salary of $290k - $360k, plus employee equity plan grant. In addition, you will receive world-class employee benefits.

Responsibilities

Technical

  • Own the architecture, design, development, testing, deployment and maintenance of high-throughput, low-latency services in languages like Go, Scala, Java, C#, or TypeScript.
  • Drive systemic performance optimisations and refactors that improve reliability, latency, and cost across multiple services or teams.
  • Lead root cause analysis on complex, cross-system production incidents, and drive the engineering response that prevents recurrence.
  • Own architectural decisions and lead system design reviews across teams, ensuring solutions scale as transaction volume and traffic grow.
  • Research and leverage AI tooling, LLMs, and agents to automate manual processes, accelerate learning, and lift developer productivity across the org.
  • Contribute to knowledge sharing through tech talks, brown bags, and best practice evangelism.

Leadership

  • Act as technical and project leader across a group of engineers spanning one or more teams.
  • Provide leadership on complex technical issues, unblocking teams and de-risking high-stakes delivery.
  • Set standards for technical excellence, from coding to architectural best practices.
  • Mentor senior and mid-level engineers, and support their growth toward technical leadership.
  • Work cross-functionally with engineering and product leadership to plan and manage delivery expectations of roadmap items.
  • Actively monitor progress and intervene where required to mitigate risks and bottlenecks, managing expectations within and outside the team.

Requirements

  • Relevant bachelor's degree (or equivalent experience) and 10+ years in commercial software development, designing, building, and operating distributed systems in modern languages like C#, Go, Java, Scala, or TypeScript,
  • Track record of owning system architecture and driving delivery in a high-throughput, low-latency production environment at internet scale, with your own designs having gone to production and been operated at scale.
  • Experience with cloud platforms, CI/CD pipelines, and containerisation and orchestration tools (Docker/Kubernetes).

+ Deep expertise in at least one of the following:

  • High-throughput, low-latency distributed systems. Designing and operating internet scale backend services and APIs, with versioning, performance, scalability, and reliability treated as first-order concerns.
  • Data engineering. Building and scaling ingestion and storage on open-source foundations like Kafka, Spark, Cassandra, Iceberg, and Trino. Owning data systems that stay correct and queryable as volume grows by orders of magnitude.
  • MLOps. Building the infrastructure that lets ML move from notebook to production: feature and data access at scale, model management & training, deployment, and the tooling ML Applied Scientists depend on to ship and iterate.
  • Site Reliability Engineering. Owning the operational surface of high-traffic systems: observability, anomaly detection, incident response, and automations that keep on-call sustainable as the network grows. Owning and Administering cloud platforms, CI/CD pipelines, and containerisation and orchestration tools
  • Web & Mobile front-end & SDKs. Building and refining Rokt's Web and Mobile Software Development Kits for performance, security, and seamless integration across thousands of partner environments.

Hybrid work structure

Rokt has a 4 day in-office, 1 day remote hybrid structure, with a flexible approach to start/finish times.

Benefits

  • Equity in a profitable, fast-growing company approaching $1 Billion in revenue.
  • Dollar-for-dollar 401K matching plan (up to 4% of fixed annual remuneration)
  • Fully funded health insurance (Dental, Optical, and Medical)
  • Generous allowances for wellness, technology, mobile, and transit.
  • Daily catered lunch, stocked pantry & fridges
  • Dog-friendly offices
  • Extra leave (bonus annual leave, sabbatical leave etc.)

Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

If this sounds like a role youโ€™d enjoy, apply here, and youโ€™ll hear from our recruiting team.

Note: The first stage of Rokt's recruitment process is a 15-minute online aptitude test, which will be sent out to your application email. Successful candidates will be contacted on next steps.