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Senior Machine Learning Software Engineer Jobs in Magnolia, TX

Sr. ML Ops Engineer

Spring, TX · On-site

$96K - $132K/yr

... Software Engineers to identify and define requirements ... Design, develop, and support machine learning operations (MLOps) platforms and tools in support of ...

Sr. Lead Software Engineer

Houston, TX · On-site

$100 - $130/hr

As a Senior Lead Software Engineer at JPMorgan Chase within Corporate Technology, you are an ... machine learning, mobile, etc.) * Practical cloud native experience- AWS cloud with hands‑on ...

... engineering, or a related field, along with experience preparing biological data for AI models ... AI, machine learning, software development, and prototype implementation • Design, analyze ...

New

As a Senior Data Software Engineer at JPMorganChase within the Commercial and Investment Bank, you ... Experience with pipelines and DAGs for data processing and/or machine learning * Demonstrated ...

New

Sr. Software Engineer

Houston, TX · On-site

$113K - $149K/yr

Sr. Software Engineer Location : Houston, TX All Day Onsite or Hybrid (Ideally look for TX Region ... Continuous Learning and Innovation: * Stay updated with the latest trends and advancements in ...

Showing results 21-40

Senior Machine Learning Software Engineer information

See Magnolia, TX salary details

$64.6K

$122.6K

$164.3K

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

As of Aug 10, 2026, the average yearly pay for senior machine learning software engineer in Magnolia, TX is $122,643.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,800.00 and $138,200.00 per year, depending on experience, location, and employer.

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

AspectSenior Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related; experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, integrates algorithms into products, collaborates with engineering teamsAnalyzes data, builds statistical models, visualizes insights, collaborates with business teams
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, healthcare

While both roles involve working with data and algorithms, Senior Machine Learning Software Engineers focus on developing and deploying scalable ML models within software systems, whereas Data Scientists primarily analyze data to generate insights and inform business decisions.

What are the key skills and qualifications needed to thrive as a senior machine learning software engineer, and why are they important?

A Senior Machine Learning Software Engineer requires deep expertise in machine learning algorithms, statistical analysis, and strong programming skills in languages like Python or Java, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, as well as experience with cloud platforms and version control systems, is standard. Exceptional problem-solving, leadership, and communication skills help drive project success and mentor junior engineers. These competencies are crucial for designing scalable ML solutions, ensuring code quality, and effectively collaborating within cross-functional teams.

What is a senior machine learning software engineer?

A Senior Machine Learning Software Engineer is an experienced professional who designs, develops, and deploys machine learning models and systems to solve complex problems. They work closely with data scientists, engineers, and other stakeholders to build scalable and efficient solutions that leverage large data sets and advanced algorithms. Their responsibilities often include architecting ML pipelines, optimizing model performance, and mentoring junior team members. Typically, they have a strong background in computer science, programming, and applied mathematics, along with several years of hands-on experience in machine learning and software engineering.

What are some common challenges senior machine learning software engineers face when deploying models to production?

Senior Machine Learning Software Engineers often encounter challenges such as ensuring model scalability, maintaining performance under real-world data conditions, and integrating models seamlessly with existing systems. Handling data drift and monitoring model predictions for accuracy over time are also critical responsibilities. Collaboration with data engineers, DevOps, and product teams is essential to address these challenges and ensure robust, reliable deployments.
What job categories do people searching Senior Machine Learning Software Engineer jobs in Magnolia, TX look for? The top searched job categories for Senior Machine Learning Software Engineer jobs in Magnolia, TX are:
What cities near Magnolia, TX are hiring for Senior Machine Learning Software Engineer jobs? Cities near Magnolia, TX with the most Senior Machine Learning Software Engineer job openings:
Infographic showing various Senior Machine Learning Software Engineer job openings in Magnolia, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $122,643 per year, or $59 per hour.

$140K - $170K/yr

Full-time

Posted 12 days ago


Job description

**Looking for local candidates**

Want to work in technology in the financial industry?

Our client is seeking a highly motivated Senior Software Developer to design and build scalable, secure, and high-performance systems. This role focuses on developing robust solutions using Python and AWS, driving best practices across the SDLC, and leveraging emerging technologies such as Generative AI and Agentic AI. The ideal candidate will collaborate with cross-functional stakeholders, contribute to trade and risk management systems, and mentor junior engineers while aligning technical delivery with business goals.

About mthree:

Since 2010, mthree has been helping clients solve their business and technological challenges. We are a technology and business consultancy with a global workforce delivering significant business and IT projects in some of the largest financial services organizations worldwide.

Core Services:

  • Consulting and Advisory
  • Managed Services
  • Alumni Graduate Program
  • Alumni Pro Program

We have a global presence and are experts in delivering exceptional quality to our client base, providing consulting services across Risk, Regulation & Compliance; Vendor Products; Application Support; Application Development; Cyber & Information Security; Data Science and DevOps areas.

Our Expert program offers experienced professionals access to top roles in tech, finance, aviation and insurance. Join us to work on groundbreaking technology projects, from international trading platforms to critical applications for leading airlines. We recruit professionals who are eager to fast-track their careers in technology or operations within prestigious global organizations.

Key Responsibilities

  • Design and build scalable, secure, and high-performance systems.
  • Write clean, efficient, and maintainable code with a focus on performance and security.
  • Conduct design reviews and code reviews to ensure quality and best practices.
  • Drive and enforce Software Development Lifecycle (SDLC) best practices.
  • Optimize applications using tools such as AWS X-Ray.
  • Partner with stakeholders to gather requirements and manage expectations, aligning technical delivery with business objectives.
  • Collaborate across multiple lines of business and with upstream/downstream partners.

Required Qualifications

  • Bachelor's degree in Computer Science or related field.
  • 5+ years of software engineering experience, with the ability to lead or mentor junior engineers.
  • Strong programming expertise in Python (and/or other languages).
  • Experience with:
    • Machine Learning / Generative AI
    • Prompt Engineering
    • Agentic AI systems
    • Writing and maintaining Markdown documentation
  • Hands-on experience with AWS Cloud services.
  • Familiarity with:
    • AWS Athena
    • AWS X-Ray
    • CI/CD pipelines
    • Infrastructure as Code (IaC)
    • VS Code and modern development environments
    • GitHub Copilot or similar AI-assisted coding tools
  • Experience building trade and risk management systems (preferred).
  • Demonstrated experience or capability in team leadership or technical leadership (nice to have).

At mthree, our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We take great pride in celebrating the diversity of each individual who contributes to making mthree the company it is today and will be in the future. We value diversity both within mthree and with our partner companies, and we're proud to provide an environment where all our colleagues can flourish. That means promoting a strong culture of equality but, most importantly, inclusion.

We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The base pay rate for this position is $140,000 - 170,000 USD. 

This pay rate represents mthree's good faith and reasonable estimate of the base pay for this role at the time of posting and based on the locations listed in the job advertisement. It is anticipated that qualified candidates selected for a placement will receive this pay rate as a starting salary once onsite with the mthree client, however, the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies. 

Applicants must be currently authorized to work in the United States on a full-time basis. The Company will not sponsor applicants for work visas.