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Remote Machine Learning Ops Engineer Jobs in McKinney, TX

Data Scientist

Richardson, TX · Remote

$116K - $198K/yr

Machine Learning & Data Science * Develop, evaluate, and deploy predictive and generative models ... Perform feature engineering and data preparation for modeling workflows * Translate business and ...

Data Scientist

Richardson, TX · Remote

$116K - $198K/yr

Responsibilities Machine Learning & Data Science * Develop, evaluate, and deploy predictive and ... Perform feature engineering and data preparation for modeling workflows * Translate business and ...

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 ...

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

Sr. Software Engineer

Irving, 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 ...

Data Solutions Engineer

Irving, TX · On-site +1

$91K - $156K/yr

Stay abreast of the latest trends in cloud computing, machine learning, AI, and data engineering. Explore new technologies and methodologies to continuously improve systems, tools, and data processes.

As a Principal Scientist at CAI, you will play an integral part of the machine learning team, which consists of data scientists, psychometricians, linguists, and software engineers. Our team focuses ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

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Showing results 1-20

Remote Machine Learning Ops Engineer information

See McKinney, TX salary details

$29.2K

$119.5K

$179.6K

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

As of Jul 17, 2026, the average yearly pay for remote machine learning ops engineer in McKinney, TX is $119,502.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,200.00 and $143,800.00 per year, depending on experience, location, and employer.
What are popular job titles related to Remote Machine Learning Ops Engineer jobs in McKinney, TX? For Remote Machine Learning Ops Engineer jobs in McKinney, TX, the most frequently searched job titles are:
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What cities near McKinney, TX are hiring for Remote Machine Learning Ops Engineer jobs? Cities near McKinney, TX with the most Remote Machine Learning Ops Engineer job openings:
Data Scientist

Data Scientist

RealPage, Inc.

Richardson, TX • Remote

$116K - $198K/yr

Full-time

Re-posted 8 days ago


RealPage rating

6.0

Company rating: 6.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

189th of 209 rated software companies


Job description

We are looking for a Data Scientist to help design, build, and deploy machine learning and generative AI solutions that power real world products and decisions. In this role, you’ll work on production AI systems, partner closely with engineering and product teams, and take ownership of meaningful data science initiatives from idea to deployment. 

This is a hands on, individual contributor role for someone who enjoys shipping models, working with modern AI tooling, and solving real business problems with data. 


Machine Learning & Data Science 

  • Develop, evaluate, and deploy predictive and generative models for real production use cases 

  • Perform feature engineering and data preparation for modeling workflows 

  • Translate business and product questions into analytical solutions 

Generative AI 

  • Build and maintain LLM powered features and services 

  • Develop retrieval augmented generation (RAG) pipelines using embeddings and vector databases 

  • Integrate LLMs with APIs and internal tools using structured function calling 

  • Finetune foundation models with parameter efficient approaches (e.g., LoRA) 

  • Evaluate model quality, detect hallucinations, and implement safety guardrails 

  • Use synthetic data to improve model performance, testing, and fairness 

  • Optimize inference performance and cost across different model providers 

MLOps & Production Systems 

  • Deploy and operate machine learning and GenAI models in production 

  • Build CI/CD pipelines for models and data workflows 

  • Monitor performance, data quality, and model drift 

  • Design versioning, rollback, and retraining strategies 

  • Partner with platform and infrastructure teams to ensure reliability and scalability 

RealTime Analytics 

  • Build low latency data pipelines and real time decisioning systems 

  • Work with streaming data and event driven architectures 

  • Support systems with strict uptime and response time requirements 

  • Contribute to feature stores used for both real time and batch inference 


  •  3–6 years of experience in data science, machine learning, or applied AI 

  • A degree (Master's or better preferred)  in Computer Science, Data Science or related fields 

KNOWLEDGE/SKILLS/ABILITIES 

  •  Strong Python and SQL skills 

  • Handson experience deploying models into production 

  • Familiarity with cloud platforms (AWS, Azure, or GCP) 

  • Experience with modern ML frameworks (PyTorch, TensorFlow, scikitlearn) 

  • Exposure to LLMs, embeddings, and GenAI workflows 

  • Ability to communicate clearly with engineers, product managers, and nontechnical partners 

Nice to Have 

  • Experience with streaming data systems 

  • Experience operating models at scale 

  • Knowledge of MLOps tools and observability practices 

  • Experience building AI solutions that support customer facing products  #LI-REMOTE #LI-JL1

Physical Demands and Working Conditions 

While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to finger, handle or feel objects, tools or controls; reach with hands and arms; climb stairs; talk or hear. The employee must have the ability to operate a personal computer and express or exchange ideas by means of the spoken word. May be required to sit and/or stand for long periods of time. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. May be required to lift or move 10+ pounds. 

Compensation may vary depending on your location, qualifications including job-related education, training, experience, licensure, and certification, that could result at a level outside of these ranges. Certain roles are eligible for additional rewards, including annual bonus, and sales incentives depending on the terms of the applicable plan and role as well as individual performance.

Equal Opportunity Employer: RealPage Company is an equal opportunity employer and committed to creating an inclusive environment for all employees.

#LI-REMOTE #LI-JL1


USD $116,400.00 - USD $198,200.00 /Yr.

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