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Machine Learning Engineer Associate Jobs in The Colony, TX

Capital One

Senior Machine Learning Engineer

Plano, TX · On-site +1

$100K - $137.30K/yr

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Capital One

Lead Machine Learning Engineer

Plano, TX · On-site +1

$98.10K - $129.20K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Ascentt

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137.30K/yr

Senior Machine Learning Engineer Location: Ann Arbor, Michigan Experience Level: 7+ Years Department: Data Science / Engineering Employment Type: Full-time About the Role: We are looking for an ...

Intuit

Staff Machine Learning Engineer

Plano, TX

Overview Come join Intuit as a Staff Machine Learning Engineer! In this role, you'll work alongside AI scientists and machine learning engineers to create AI-powered experiences. You'll be expected ...

Intuit

Staff Machine Learning Engineer

Plano, TX · On-site

Come join Intuit as a Staff Machine Learning Engineer! In this role, you'll work alongside AI scientists and machine learning engineers to create AI-powered experiences. You'll be expected to help ...

Vanguard

Machine Learning Engineer, Specialist

Dallas, TX · On-site

$113.30K - $136K/yr

Performs the development and programming of machine learning integrated software algorithms to structure, analyze, and leverage data in a production environment. Leverages detailed understanding of ...

Ascentt

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137.30K/yr

We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We're hiring ...

Photon

Machine Learning Engineer - NJ

Addison, TX · On-site

$54 - $71.50/hr

We are seeking a Machine Learning Engineer to design and develop robust analytics models using statistical and machine learning algorithms. In this role, you will work closely with product and ...

Photon

Machine Learning Engineer - NJ

Addison, TX

$54 - $71.50/hr

We are seeking a Machine Learning Engineer to design and develop robust analytics models using statistical and machine learning algorithms. In this role, you will work closely with product and ...

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Machine Learning Engineer Associate information

See The Colony, TX salary details

$38.5K

$76.6K

$122.4K

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

As of May 30, 2026, the average yearly pay for machine learning engineer associate in The Colony, TX is $76,629.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,700.00 and $88,100.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.

What are some common challenges faced by Machine Learning Engineer Associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are Machine Learning Engineer Associates?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.
What are the most commonly searched types of Machine Learning Engineer jobs in The Colony, TX? The most popular types of Machine Learning Engineer jobs in The Colony, TX are:
What are popular job titles related to Machine Learning Engineer Associate jobs in The Colony, TX? For Machine Learning Engineer Associate jobs in The Colony, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Associate jobs in The Colony, TX look for? The top searched job categories for Machine Learning Engineer Associate jobs in The Colony, TX are:
What cities near The Colony, TX are hiring for Machine Learning Engineer Associate jobs? Cities near The Colony, TX with the most Machine Learning Engineer Associate job openings:
Machine Learning Engineer Associate jobs near you

Machine Learning Ops Lead

Invitus Strategy Solutions LLC

Fort Worth, TX • On-site

$140K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago

Job description

Invictus Strategy & Solutions is a Service-Disabled Veteran-Owned Small Business (SDVOSB) providing strategic workforce solutions to mission-critical government and commercial operations. From cleared federal programs to complex industrial projects, we deliver top-tier professionals who drive performance, safety, and results. Our commitment to operational excellence and customer alignment makes us the partner of choice for organizations seeking agile and reliable talent solutions.
Summary
Invictus Strategy & Solutions is seeking a Senior Machine Learning Engineer and MLOps POD Lead to join our growing technical delivery team in Fort Worth, Texas. This on-site role requires strong hands-on experience designing, deploying, and operating production grade machine learning systems integrated with enterprise data platforms.
The selected candidate will lead a small delivery pod of three to five engineers and data scientists responsible for building and operating scalable machine learning pipelines. This role combines hands on MLOps execution with technical leadership, ensuring machine learning systems operate reliably across commercial and government environments with varying regulatory, security, and operational requirements.
This role requires an engineer who remains directly involved in architecture, pipeline design, and production operations while guiding a small team responsible for delivery outcomes.
Key Responsibilities
MLOps Architecture and Execution
  • Design, deploy, and operate end to end machine learning pipelines supporting large scale datasets integrated with enterprise data lakes and data warehouses
  • Build and maintain production grade MLOps systems across cloud platforms including Azure, AWS, and GCP with primary emphasis on Microsoft Azure
  • Implement CI and CD pipelines supporting model training, versioning, deployment, and lifecycle management
  • Utilize MLflow for experiment tracking, model registry management, and model lifecycle governance
  • Monitor model performance, data drift, and system reliability across production environments
  • Ensure machine learning services meet defined reliability and SLA expectations
  • Collaborate with Data Engineering teams to integrate ML pipelines with ETL workflows, feature engineering pipelines, and enterprise data platforms
  • Deploy and manage ML workloads on Kubernetes based environments

Technical Leadership and Delivery
  • Lead a delivery pod of three to five engineers and data scientists responsible for building and operating ML systems
  • Provide technical guidance, mentorship, and code review support to team members
  • Translate business, operational, and regulatory requirements into scalable ML system architectures
  • Own delivery outcomes across commercial and public sector engagements while maintaining quality, security, and compliance requirements

Security, Compliance, and Responsible AI
  • Support machine learning implementations aligned with applicable standards including the NIST AI Risk Management Framework
  • Ensure secure handling of sensitive data including healthcare, bioscience, or government datasets
  • Implement model documentation, bias detection, and mitigation practices across deployed ML systems
  • Support governance and operational oversight for machine learning lifecycle management

Qualifications
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related discipline, or equivalent professional experience
  • U.S. Citizenship with the ability to obtain and maintain a government security clearance
  • Minimum seven years of experience in machine learning engineering or MLOps supporting production systems
  • Strong proficiency in Python and experience with modern ML frameworks such as PyTorch, TensorFlow, or similar tools
  • Hands on experience designing and deploying machine learning systems in cloud environments including Azure, AWS, or GCP, with demonstrated depth in Microsoft Azure environments
  • Experience implementing CI and CD pipelines for machine learning workflows
  • Hands on experience supporting enterprise data platforms including data lakes, data warehouses, and ETL pipelines
  • Experience deploying or operating workloads on Kubernetes based platforms
  • Strong foundation in software engineering best practices including version control, automated testing, and documentation

Preferred
  • Experience supporting machine learning systems for commercial clients or federal or state government programs
  • Prior technical leadership experience guiding small engineering teams
  • Experience deploying or operating ML systems in regulated cloud environments including Azure Government
  • Familiarity with infrastructure as code tools such as Terraform
  • Experience with AI governance frameworks, model risk management, or ethical AI practices
  • Relevant certifications may include: Microsoft Azure AI Engineer Associate, Microsoft Azure Data Scientist Associate, AWS Certified Machine Learning Specialty, or TensorFlow Developer Certificate

Compensation and Benefits
  • Employer-paid medical, dental, and vision insurance
  • 401(k) with company match
  • Paid time off and holidays
  • Professional development and certification reimbursement

Invictus Strategy & Solutions is unable to provide sponsorship at this time. All applicants must be legally authorized to work in the United States without current or future sponsorship requirements.
EEO Statement
Invictus Strategy & Solutions is an equal opportunity employer. All qualified applicants will receive consideration without regard to any protected characteristic.
The pay range for this role is:
140,000 - 150,000 USD per year (GGI)

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