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Senior Machine Learning Engineer Jobs in The Colony, TX

SSI People

Machine Learning Engineer

Dallas, TX · On-site

Machine learning model solution design, build, orchestration and implementation * Experience building solutions with model governance, risk management, and regulatory adherence at top of mind * GPT 5 ...

Capital One

Lead Machine Learning Engineer

Plano, TX

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Lead Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing Generative AI and advanced agentic systems at scale.

Capital One

Lead Machine Learning Engineer

Plano, TX · On-site

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Lead Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing Generative AI and advanced agentic systems at scale.

Bespoke Labs

Machine Learning Engineer

Dallas, TX · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Mckinney, TX

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Mckinney, TX · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Dallas, TX

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Tihinsurance

Machine Learning Engineer

Dallas, TX

... the machine learning function at a market-leading insurance company. As one of the first data ... Leverage continuous engineering practices to deliver business value regarding effectiveness of the ...

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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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in The Colony, TX

Senior Machine Learning Engineer information

See The Colony, TX salary details

$55.2K

$117.4K

$170.2K

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

As of Aug 5, 2026, the average yearly pay for senior machine learning engineer in The Colony, TX is $117,357.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,900.00 and $133,100.00 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 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 Senior Machine Learning Engineer jobs in The Colony, TX? For Senior Machine Learning Engineer jobs in The Colony, TX, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Engineer jobs in The Colony, TX look for? The top searched job categories for Senior Machine Learning Engineer jobs in The Colony, TX are:
What cities near The Colony, TX are hiring for Senior Machine Learning Engineer jobs? Cities near The Colony, TX with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you

Machine Learning Engineer

AspireIT Solutions

Dallas, TX • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Title: Principal Machine Learning Engineer
Location: Dallas, TX (Onsite, 5 days/week)
Secondary: Chicago, IL or New York City, NY (also onsite)
Duration/Type: Contract
Client: System Integrator
Role Overview
Lead design and delivery of scalable ML/GenAI solutions for a large-scale Mail/communications platform, focusing on personalization, user insights, and production-grade ML systems.

Key Responsibilities

  • Design, build, and deploy ML/GenAI models for personalization, recommendations, and user insights.
  • Lead and mentor a small team of ML/Software Engineers; enforce high standards for code and architecture.
  • Work with product, data, and platform teams to integrate ML features into Mail and broader ecosystem.
  • Build data/ML pipelines and tools for large-scale data processing, experimentation, and observability.
  • Run A/B tests and analyze impact; implement feedback loops and safe recovery paths for model failures.
  • Balance cost, latency, and quality for production ML services.

Required Skills & Experience

  • 8+ years in Machine Learning / Data Science / Applied ML Engineering.
  • Strong programming in Python (preferred) and/or Java/C++.
  • Hands-on with ML frameworks: TensorFlow, PyTorch, Scikit-learn.
  • Experience with LLMs / Generative AI: prompt engineering, RAG, fine-tuning, LLMOps, agent frameworks, GPU optimization.
  • Big data & ML infra: Spark, Hadoop, Airflow, MLFlow, feature stores, vector DBs, CI/CD for ML.
  • Strong ML fundamentals: supervised/unsupervised learning, NLP, data mining, experimentation (A/B testing).
  • Experience building production ML systems with monitoring, telemetry, and user feedback loops.
  • Excellent communication; able to work closely with tech leads, architects, and cross-functional teams.

Aspire IT Solutions is an equal opportunity employer.
All applicants must submit accurate information; misrepresentation may disqualify candidacy.
This role may require background checks/work authorization verification.
Rate/benefits are negotiable.
Aspire IT Solutions reserves the right to modify or withdraw this posting.

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