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Mlops Machine Learning Engineer Jobs in Austin, TX

Lauretta AI LLC

Machine Learning Engineer L-1

Austin, TX · On-site

$80K - $93K/yr

Experience working in MLOps and building pipelines for deploying ML models * Programming skills in Python, C/C++ or Javascript * Understanding of machine learning and deep learning fundamentals

Lauretta AI LLC

Machine Learning Engineer L-1

Austin, TX · On-site

$80K - $93K/yr

Experience working in MLOps and building pipelines for deploying ML models * Programming skills in Python, C/C++ or Javascript * Understanding of machine learning and deep learning fundamentals

Realtor.com Careers

Sr. Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

As a Senior Machine Learning Engineer, you'll take a leading technical role in building the ... Build and maintain CI/CD pipelines and MLOps workflows using Metaflow and ArgoCD, ensuring reliable ...

Avride

Machine Learning Engineer

Austin, TX · On-site

Avride develops autonomous vehicle and delivery robot technology, and they are seeking an experienced Machine Learning Engineer to enhance their autonomous systems. The role involves developing and ...

Avride

Machine Learning Engineer

Austin, TX

About the role We are looking for an experienced Machine Learning Engineer with a strong background in developing and deploying modern machine learning solutions for complex real-world challenges. In ...

Avride

Machine Learning Engineer

Austin, TX · On-site

About the role We are looking for an experienced Machine Learning Engineer with a strong background in developing and deploying modern machine learning solutions for complex real-world challenges. In ...

Q2

Machine Learning Engineer

Austin, TX · On-site

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...

Shipwell

Machine Learning Engineer

Austin, TX · On-site +1

About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building and scaling our AI-powered logistics solutions. You'll design, develop, and maintain the data ...

PayPal

Machine Learning Engineer

Austin, TX · On-site

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

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All JobsMlops Machine Learning Engineer JobsMlops Machine Learning Engineer Jobs in Austin, TX

Mlops Machine Learning Engineer information

See Austin, TX salary details

$31.2K

$127.6K

$191.8K

How much do mlops machine learning engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for mlops machine learning engineer in Austin, TX is $127,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,600.00 and $153,600.00 per year, depending on experience, location, and employer.

What does an MLOps Machine Learning Engineer do?

An MLOps Machine Learning Engineer bridges the gap between data science and IT operations by developing, deploying, and maintaining machine learning models in production environments. They are responsible for automating workflows, managing model versioning, monitoring performance, and ensuring scalability and reliability of ML systems. Their work enables organizations to deploy machine learning solutions efficiently and consistently, making it easier to update and manage models as business needs evolve.

How does an MLOps Machine Learning Engineer typically collaborate with data scientists and software engineers during the deployment of machine learning models?

An MLOps Machine Learning Engineer acts as a bridge between data scientists and software engineers, ensuring machine learning models transition smoothly from development to production. They often work closely with data scientists to understand model requirements, data pipelines, and performance metrics, while also collaborating with software engineers to integrate models into scalable systems. Regular communication, shared documentation, and joint troubleshooting sessions are common, as the role requires aligning model performance with system reliability and maintainability. This collaborative environment helps ensure that models are robust, scalable, and impactful in real-world applications.

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

AspectMlops Machine Learning EngineerData Scientist
Required CredentialsBachelor's or master's in CS, data science, or related fields; certifications in cloud platforms or MLOps toolsBachelor's or master's in statistics, data science, or related fields; certifications in data analysis or machine learning
Work EnvironmentFocus on deploying, maintaining, and scaling ML models in production environmentsFocus on data analysis, model development, and insights generation
Employer & Industry UsageTech companies, startups, enterprises implementing ML solutionsResearch institutions, analytics firms, tech companies for data insights

While both roles involve machine learning, Mlops Machine Learning Engineers specialize in deploying and maintaining models in production, ensuring scalability and reliability. Data Scientists primarily focus on developing models and analyzing data to generate insights. The roles often overlap but differ in their core responsibilities and work environments.

What are the key skills and qualifications needed to thrive as an MLOps Machine Learning Engineer, and why are they important?

To thrive as an MLOps Machine Learning Engineer, you need a strong background in machine learning concepts, 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, cloud platforms (AWS, GCP, Azure), and certifications such as Google Professional Machine Learning Engineer are highly beneficial. Strong problem-solving abilities, collaboration, and communication skills help you work effectively across data science and engineering teams. These skills are essential for reliably deploying, monitoring, and maintaining scalable machine learning solutions in production environments.
What are popular job titles related to Mlops Machine Learning Engineer jobs in Austin, TX? For Mlops Machine Learning Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Mlops Machine Learning Engineer jobs in Austin, TX look for? The top searched job categories for Mlops Machine Learning Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Mlops Machine Learning Engineer jobs? Cities near Austin, TX with the most Mlops Machine Learning Engineer job openings:
Mlops Machine Learning Engineer jobs near you
Infographic showing various Mlops Machine Learning Engineer job openings in Austin, TX as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $127,637 per year, or $61.4 per hour.
Machine Learning Engineer

Machine Learning Engineer

Adidev Technologies Inc

Austin, TX

Full-time

Posted 14 days ago

Job description

Role: Jr-Mid Machine Learning Engineer

(This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.)

Summary:

 Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients.

About Adidev Technologies Inc.  

Adidev Technologies,(www.adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation.

 

Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience.

Global Presence: Our diverse employee workforce spans four continents.

Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA.

How We'll Guide You

Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients.

Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success.

Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients.

Career Growth: We facilitate industry experience to propel your technical journey forward.

 

Key Responsibilities:

·        Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions.

·        Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring.

·        Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.

·        Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences.

·        Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement.

·        Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency.

·        Conduct exploratory data analysis to extract valuable insights and influence strategic decisions.

·        Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks.

·        Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices.

 

Requirements:

·        Degree in Computer Science, Engineering, Statistics, or a related technical field.

·        Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains.

·        Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings.

·        Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems.

·        Strong foundational understanding of algorithmic complexity and data structure optimization.

·        Excellent problem-solving, collaboration, and communication abilities.

·        Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI.

·        Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.

·        Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects.

·        Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).

·        Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures.

·        Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices.

·        Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team.

·        Ensure all AI implementations are compliant with ethical guidelines and data privacy standards.

How to Apply: 

Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise.

Perks and Beyond! 

Competitive salary range: Based on experience and market value

Pack your bags! Paid relocation is on us.

Support, even from afar, with our remote assistance.

Regular salary reviews? You betcha!

Ready to Embark? 

 we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects.  At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth.

Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life.  Your unique perspective could be the catalyst for our next revolutionary breakthrough

Employment Type: FULL_TIME

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