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Machine Learning Engineer Jobs in Plano, TX (NOW HIRING)

Samprasoft

Machine Learning Engineer

Roanoke, TX · On-site

Sr. Machine Learning Engineer Duration: 12 -24 Months Location: Merrimack, NH/ Smithfield, RI/ Westlake, TX/ Durham, NC/ Covington, KY/ Jersey City, NJ/ Boston, MA Candidate should be local or ...

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 ...

Photon

Machine Learning Engineer - NJ

Dallas, TX · On-site

Machine Learning Engineer 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 ...

SynergisticIT

Machine Learning Engineer

Dallas, TX · On-site

Work with an international top-notch engineering team with full commitment on Machine Learning development. Required Candidate Profile Skills Required * Passionate about search and AI technologies.

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 ...

Ascentt

Senior Machine Learning Engineer

Plano, TX · On-site

$100.40K - $137.90K/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

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 ...

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 ...

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 ...

Vanguard

Machine Learning Engineer, Specialist

Dallas, TX

$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 ...

Tiger Analytics

Machine Learning Engineer

Plano, TX · On-site

Tiger Analytics is looking for experienced Machine Learning Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine ...

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Machine Learning Engineer information

See Plano, TX salary details

$29.4K

$120.4K

$180.9K

How much do machine learning engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for machine learning engineer in Plano, TX is $120,379.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,900.00 and $144,900.00 per year, depending on experience, location, and employer.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

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

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Plano, TX? The most popular types of Machine Learning Engineer jobs in Plano, TX are:
What are popular job titles related to Machine Learning Engineer jobs in Plano, TX? For Machine Learning Engineer jobs in Plano, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Plano, TX look for? The top searched job categories for Machine Learning Engineer jobs in Plano, TX are:
What cities near Plano, TX are hiring for Machine Learning Engineer jobs? Cities near Plano, TX with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Machine Learning Engineer

Machine Learning Engineer

Samprasoft

Roanoke, TX • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Sr. Machine Learning Engineer

Duration: 12 -24 Months

Location: Merrimack, NH/ Smithfield, RI/ Westlake, TX/ Durham, NC/ Covington, KY/ Jersey City, NJ/ Boston, MA

Candidate should be local or willing to work onsite on any of the above locations for 5 days/ month

The Expertise And Skills You Bring
  • Bachelor’s or Master’s Degree in a technology related field (e.g. Engineering, Computer Science, etc.)
  • 8+ years of proven experience in implementing Big data solutions in data analytics space
  • 2+ years of experience in developing ML infrastructure and MLOps in the Cloud using AWS Sagemaker
  • Extensive experience working with machine learning models with respect to deployment, inference, tuning, and measurement required
  • Experience in Object Oriented Programming (Java, Scala, Python), SQL, Unix scripting or related programming languages and exposure to some of Python’s ML ecosystem (numpy, panda, sklearn, tensorflow, etc.)
  • Experience with building data pipelines in getting the data required to build and evaluate ML models, using tools like Apache Spark or other distributed data processing frameworks
  • Data movement technologies (ETL/ELT), Messaging/Streaming Technologies (AWS SQS, Kinesis/Kafka), Relational and NoSQL databases (DynamoDB, EKS, Graph database), API and in-memory technologies
  • Strong knowledge of developing highly scalable distributed systems using Open-source technologies
  • Experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), orchestration/DAGs tools (AWS Step Functions, Airflow, Luigi, Kubeflow, or equivalent)
  • Solid experience in Agile methodologies (Kanban and SCRUM)
  • Strong technical design and analysis skills
  • Ability to deal with ambiguity and work in fast paced environment
  • Experience supporting critical applications
  • Familiarity with applied data science methods, feature engineering and machine learning algorithms
  • Data wrangling experience with structured, semi-structured and unstructured data
  • Experience building ML infrastructure, with an eye towards software engineering
  • Excellent communication skills, both through written and verbal channels
  • Excellent collaboration skills to work with multiple teams in the organization
  • Ability to understand and adapt to changing business priorities and technology advancements in Big data and Data Science ecosystem

Required Skills : Basic Qualification : Additional Skills : Please do not send junior candidates, Need 10 plus years of experience.

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