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Machine Learning Engineer Software Engineer Jobs in Coppell, TX

Machine Learning Engineer

Plano, TX · On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

Machine Learning Engineer

Dallas, TX · On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

Manager, Machine Learning Engineer

Dallas, TX · On-site

$101K - $133K/yr

Leads a team of Machine Learning Engineers responsible for designing, building, deploying, and scaling AI/ML solutions that support Financial Advisory Services (FAS) business objectives. Partners ...

Senior ML Engineer

Addison, TX

$101K - $138K/yr

Develop machine learning models and algorithms to address business needs. Collaborate with data scientists and software engineers to design and implement scalable and efficient solutions. Clean ...

Senior ML Engineer

Addison, TX · On-site

$101K - $138K/yr

Responsibilities : • Develop machine learning models and algorithms to address business needs. • Collaborate with data scientists and software engineers to design and implement scalable and ...

Sr. Machine Learning Engineer

Richardson, TX · On-site

$94K - $129K/yr

We're more than just a software company -- we're building the AI-native platform where the real ... Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next ...

Senior ML Engineer

Addison, TX · On-site

$101K - $138K/yr

Responsibilities: • Develop machine learning models and algorithms to address business needs. • Collaborate with data scientists and software engineers to design and implement scalable and ...

Showing results 41-60

Machine Learning Engineer Software Engineer information

See Coppell, TX salary details

$58.6K

$136.2K

$189.7K

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

As of Aug 21, 2026, the average yearly pay for machine learning engineer software engineer in Coppell, TX is $136,189.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,800.00 and $159,700.00 per year, depending on experience, location, and employer.

How do machine learning engineer software engineers typically collaborate with data scientists and software development teams?

Machine Learning Engineer Software Engineers often serve as a bridge between data scientists and software development teams. They work closely with data scientists to understand and implement machine learning models, ensuring that the models are production-ready and scalable. Additionally, they collaborate with software engineers to integrate these models into existing applications, monitor their performance, and address any engineering challenges. This cross-functional collaboration is essential for delivering robust, end-to-end AI solutions that add real value to the business.

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

AspectMachine Learning EngineerSoftware Engineer
Required CredentialsBachelor's/Master's in CS, specialized ML coursesBachelor's in CS or related field
Work EnvironmentDevelops ML models, algorithms, data pipelinesBuilds software applications, systems, APIs
Industry UsageAI/ML projects, data-driven solutionsWeb, mobile, enterprise software

Machine Learning Engineers focus on designing and deploying ML models, requiring expertise in algorithms and data handling. Software Engineers develop broader software applications, emphasizing coding and system architecture. While both roles require programming skills, ML Engineers specialize in AI/ML tasks, whereas Software Engineers work across various software domains.

What are popular job titles related to Machine Learning Engineer Software Engineer jobs in Coppell, TX?

For Machine Learning Engineer Software Engineer jobs in Coppell, TX, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Software Engineer jobs in Coppell, TX look for?

The top searched job categories for Machine Learning Engineer Software Engineer jobs in Coppell, TX are:

What cities near Coppell, TX are hiring for Machine Learning Engineer Software Engineer jobs?

Cities near Coppell, TX with the most Machine Learning Engineer Software Engineer job openings:

Infographic showing various Machine Learning Engineer Software Engineer job openings in Coppell, 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 $136,189 per year, or $65.5 per hour.

Principal Software Engineer

PeerIslands US Inc

Southlake, TX • On-site, Remote

$127K - $170K/yr

Full-time

Re-posted 20 days ago


Job description

DUTIES: Design, develop, and implement scalable, resilient, cloud-native microservices using Java 21, Spring Boot 3.x, MongoDB, NATS, and Kubernetes for modernization of payment processing systems. Architect and develop fault-tolerant microservices to replace legacy monolithic applications ensuring high availability, transaction integrity, and system reliability for critical payment processing systems. Develop and maintain critical payment related microservices that will process transactions of high value and huge volume. Participate in architecture discussions, sprint planning, and technical reviews to design enterprise-grade solutions aligned with client requirements. Develop cloud-agnostic and cross-platform services deployable on Azure, GCP, and Kubernetes environments. Work on Generative AI integration using Azure OpenAI, LangChain, and Python 3 to automate transformation of legacy codebases into microservices, reducing development time and improving efficiency. Design and build data engineering pipelines and Data Lake solutions using Databricks (Spark with Scala), Azure ADF, and Delta Lake for analytical and machine learning use cases. Architect and develop data ingestion and transformation pipelines from diverse healthcare data sources into unified, analytics-ready structures. Integrate MongoDB and BigQuery using Change Streams, GCP Pub/Sub, DataFlow, and Cloud Run to enable real-time data synchronization for e-commerce recommendations. Lead design and development of workflow orchestration solutions using Apache Airflow, Kafka, and KSQL streams for large-scale retail clients. Provide technical leadership and mentorship, ensuring adherence to coding standards, code quality, and best practices. Collaborate with cross-functional and geographically distributed teams, performing code reviews and delivering high-quality solutions under tight deadlines. Perform performance optimization, exception handling, and automated alerting to ensure smooth production operations. Evaluate emerging technologies and tools to continuously improve system scalability, reliability, and development efficiency.


REQUIREMENTS: Bachelor's or foreign equivalent degree in Computer Science, Computer Engineering, or a related field, and 6 years of progressive, post-baccalaureate experience in the job offered or as a Software Engineer, Software Developer, Software Architect, Lead Developer, or in a related/similar position. Experience therein to include minimum of 6 years of experience in the following: designing, developing, and implementing scalable, resilient, cloud-native microservices; ensuring adherence to coding standards, code quality, and best practices; collaborating with cross-functional and geographically distributed teams; and working with Java, Spring Boot, MongoDB, PostgreSQL, and Open API. Experience therein to include 3 years of experience architecting and developing fault-tolerant microservices to replace legacy monolithic applications ensuring high availability, transaction integrity, and system reliability. Experience therein to include 2 years of experience designing and building data engineering pipelines and Data Lake solutions using Databricks including Spark with Scala, Azure ADF, and Delta Lake for analytical and machine learning use cases; and using Azure OpenAI, LangChain, and Python. Experience therein to include 1 year of experience in NATS. Hybrid role, ability to work from home.


CONTACT: To apply, email resume to anna.zhang@peerislands.io. Ref. job code CHAK-