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Senior Machine Learning Engineer Jobs in Manor, TX

CesiumAstro

Senior Machine Learning Engineer II

Austin, TX · On-site

$103K - $142K/yr

We are looking for a Senior Machine Learning Engineer II to contribute to the development and deployment of machine learning solutions for our advanced distributed processing platforms. This role is ...

CesiumAstro

Senior Machine Learning Engineer II

Austin, TX

$103K - $142K/yr

We are looking for a Senior Machine Learning Engineer II to contribute to the development and deployment of machine learning solutions for our advanced distributed processing platforms. This role is ...

CesiumAstro

Senior Machine Learning Engineer II

Austin, TX

$103K - $142K/yr

We are looking for a Senior Machine Learning Engineer II to contribute to the development and deployment of machine learning solutions for our advanced distributed processing platforms. This role is ...

X4 Engineering

Machine Learning Engineer

Austin, TX · On-site

$140K - $180K/yr

🚀 Machine Learning Engineer 📍 Austin, TX (Hybrid/Remote Considered) 💰 $140,000 - $180,000 Base We're partnering with a fast-growing energy firm looking to hire a Machine Learning Engineer to ...

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 ...

PayPal

Machine Learning Engineer

Austin, TX

Collaborate with senior engineers and data scientists on model deployment. * Conduct experiments and run machine learning tests. * Stay updated with the latest advancements in machine learning.

Apple

Machine Learning Engineer

Austin, TX · On-site

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop ...

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 ...

Apple

Sr. Machine Learning Engineer - Finance

Austin, TX

$184K - $277K/yr

As a machine learning engineer in Finance, you'll play an integral and global role in building the data foundations, services, and platforms used for delivering insights and automating decisions for ...

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 ...

Apple

Sr. Machine Learning Engineer - Finance

Austin, TX

$184K - $277K/yr

As a machine learning engineer in Finance, you'll play an integral and global role in building the data foundations, services, and platforms used for delivering insights and automating decisions for ...

Q2

Machine Learning Engineer

Austin, TX

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 ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Manor, TX

Senior Machine Learning Engineer information

See Manor, TX salary details

$64.1K

$136.4K

$197.8K

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

As of Jul 20, 2026, the average yearly pay for senior machine learning engineer in Manor, TX is $136,444.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,700.00 and $154,700.00 per year, depending on experience, location, and employer.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a Senior Machine Learning Engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

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

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What job categories do people searching Senior Machine Learning Engineer jobs in Manor, TX look for? The top searched job categories for Senior Machine Learning Engineer jobs in Manor, TX are:
What cities near Manor, TX are hiring for Senior Machine Learning Engineer jobs? Cities near Manor, TX with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Manor, TX as of July 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $136,444 per year, or $65.6 per hour.

Sr Machine Learning Engineer( Austin only)

Autonomize Inc

Austin, TX • On-site

$103K - $142K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 4 days ago

Job description

About Autonomize AI
Autonomize AI is revolutionizing healthcare by streamlining knowledge workflows with AI. We reduce administrative burdens and elevate outcomes, empowering professionals to focus on what truly matters - improving lives. We're growing fast and looking for bold, driven teammates to join us.
The Opportunity
As a Senior Machine Learning Engineer at Autonomize, you will lead the development and deployment of machine learning solutions with an emphasis on large language models (LLMs), vision models, and classic NLP (Natural Language Processing) models. The ideal candidate will have a proven track record in these areas, particularly within healthcare contexts, and will play a significant role in advancing our AI-driven healthcare optimized AI Copilots and Agents.
Key Responsibilities
  • Help fine-tune or prompt engineer large language models (LLMs) for various healthcare applications across various customer engagements.

  • Develop and refine our approach to handling vision based data using state-of-the-art VLM based models capable of processing and analyzing medical documents, healthcare forms in various formats and other visual data accurately.

  • Create and enhance classic NLP models to understand and generate human language in healthcare settings, supporting clinical documentation, and patient interaction.

  • Collaborate with multi-disciplinary teams including data scientists,ml engineers, healthcare clients, and product managers to deliver robust solutions.

  • Ensure models are efficiently deployed and integrated into healthcare systems, maintaining high performance and scalability.

  • Mentor and provide guidance to junior engineers and data scientists, fostering a culture of continuous learning and innovation.

  • Conduct rigorous testing, validation, and tuning of models to ensure accuracy, reliability, and compliance with healthcare standards.

  • Deep understanding of various training techniques including distributed training on GPUs and TPUs.

  • Stay informed on the latest research, tools, and technologies in machine learning, particularly those applicable to language and vision processing in healthcare.

  • Document methodologies, model architectures, and project outcomes effectively for both technical and non-technical audiences.

Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.

  • 5-7 years of experience in machine learning engineering, with a significant track record in the developing production grade models and model pipelines in a regulated industry such as healthcare.

  • Hands-on expertise in working with large language models (e.g., GPT, BERT), computer vision models, and classic NLP technologies.

  • Proficient in programming languages such as Python, with extensive experience in ML libraries/frameworks like TensorFlow, PyTorch, OpenCV, etc.

  • Strong understanding of deep learning techniques, model fine-tuning, hyper parameter optimization, and model optimization

  • Proven experience in deploying and managing ML models in production environments.

  • Excellent analytical skills, with a problem-solving mindset and the ability to think strategically.

  • Strong communication skills for articulating complex concepts to diverse audiences.

  • Working knowledge or experience in MLOps and LLMOps using tools like mlflow, kubeflow

  • Working knowledge of basic software engineering principles and best practices

  • Demonstrated working knowledge and experience on classic ML techniques and frameworks.

  • Nice to have : Knowledge of Cloud vendor based ML Platforms such as Azure ML, Sagemaker

Who you are as a person/leader
  • Owner mentality - For you, the buck stops at you, You own it, you will learn it, and you will get it done

  • You are naturally curious. Always experimenting than hypothesizing - You like to push boundaries, you figure things out and experiment your way through any problem

  • You are passionate, unafraid & loyal to the team & mission

  • You love to learn & win together

  • You communicate well through voice, writing, chat or video, and work well with a remote/global team

Nice to have competencies
  • Large/Complex organization experience in deploying NLP/ML in production

  • Experience in efficiently scaling ML model training and inferencing

  • Experience with Big Data technologies using Kafka, Spark, Hadoop, Snowflake

What We Offer
  • A chance to make a real impact in the future of healthcare

  • Autonomy, ownership, and the ability to chart your own growth path

  • Competitive compensation and benefits

  • 100% employer-paid health, vision, and dental insurance

  • Retirement plans (401k), disability insurance, employee assistance programs

How to Apply
Send your resume and a brief cover letter to careers@autonomize.ai explaining why you're the right partner for this mission.

Apply