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Python Ml Developer Jobs in Fort Worth, TX (NOW HIRING)

MSR Cosmos

Google Cloud ML Engineer

Dallas, TX · On-site

$55.25 - $73.75/hr

Dallas, TX (Day1 Onsite) Duration: Long Term We seek an experienced developer to design, build, and ... Advanced Python skills; experience with ML/NLP libraries (Hugging Face, TensorFlow, PyTorch)

InfoVision, Inc.

Agentic AI Developer

Dallas, TX · On-site

Skills * Required: SQL/Bigquery/Google Cloud Platform, Python, Prompt Engineering, Hands on ... Experience: 4+ years in AI/ML engineering are preferred, with 1+ years specifically focused on ...

Highbrow LLC

Data Scientist / ML Engineer

Frisco, TX · On-site

$100 - $130/hr

... Python and/or R programming and statistical packages, and ML libraries such as scikit-learn, TensorFlow, PyTorch, etc. 3 plus years of experience in building use cases / solutions especially around ...

New

IT America Inc

ML Engineer

Plano, TX · On-site

ML Engineer Location: Plano, TX / Reston, VA (Hybrid) Duration: Long term contract Interview ... Onsite Top Skills' Details: 1. Strong Python and AWS skills 2. Machine Learning, LLM, GenAi ...

Texas Instruments

AI/ML Engineer

Richardson, TX · On-site

... testable Python code; familiarity with agile development and CI/CD concepts Preferred ... pipelines * DevOps & containerization - hands-on experience with Docker, Kubernetes, or cloud ...

Vistra Corp.

Lead Developer - Python , Gen AI

Irving, TX · On-site

$134K - $165K/yr

You will play a pivotal role within the Enterprise Data & Analytics team, improving our ML and ... A "data-first" Python developer who understands the challenges of enterprise data systems. • ...

Vistra Energy

Lead Developer - Python , Gen AI

Irving, TX · Hybrid

$134K - $165K/yr

You will play a pivotal role within the Enterprise Data & Analytics team, improving our ML and ... A "data-first" Python developer who understands the challenges of enterprise data systems. Proven ...

Luminant

Lead Developer - Python , Gen AI

Irving, TX · Hybrid

$134K - $165K/yr

You will play a pivotal role within the Enterprise Data & Analytics team, improving our ML and ... A "data-first" Python developer who understands the challenges of enterprise data systems. Proven ...

Vistra Corp

Lead Developer - Python , Gen AI

Irving, TX · On-site

$134K - $165K/yr

You will play a pivotal role within the Enterprise Data & Analytics team, improving our ML and ... A "data-first" Python developer who understands the challenges of enterprise data systems. Proven ...

Vst

Lead Developer - Python , Gen AI

Irving, TX · Hybrid

$134K - $165K/yr

You will play a pivotal role within the Enterprise Data & Analytics team, improving our ML and ... A "data-first" Python developer who understands the challenges of enterprise data systems. Proven ...

TXU Energy

Lead Developer - Python , Gen AI

Irving, TX · Hybrid

$134K - $165K/yr

You will play a pivotal role within the Enterprise Data & Analytics team, improving our ML and ... A "data-first" Python developer who understands the challenges of enterprise data systems. Proven ...

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Showing results 41-60

All JobsPython Ml Developer JobsPython Ml Developer Jobs in Fort Worth, TX

Python Ml Developer information

See Fort Worth, TX salary details

$12

$56

$82

How much do python ml developer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for python ml developer in Fort Worth, TX is $56.18, according to ZipRecruiter salary data. Most workers in this role earn between $46.30 and $63.80 per hour, depending on experience, location, and employer.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What are the key skills and qualifications needed to thrive as a Python ML Developer?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What are popular job titles related to Python Ml Developer jobs in Fort Worth, TX? For Python Ml Developer jobs in Fort Worth, TX, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Fort Worth, TX look for? The top searched job categories for Python Ml Developer jobs in Fort Worth, TX are:
What cities near Fort Worth, TX are hiring for Python Ml Developer jobs? Cities near Fort Worth, TX with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Fort Worth, TX as of August 2026, with employment types broken down into 2% Internship, 89% Full Time, 3% Part Time, and 6% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $116,859 per year, or $56.2 per hour.

AWS Gen AI / ML Engineer

NAVA Software Solutions

Plano, TX • On-site

Full-time

Re-posted 23 days ago

Job description

NAVA Software solutions is looking for an AWS Gen AI / ML Engineer
Details:
AWS Gen AI / ML Engineer
Location: Plano, TX - Onsite 5 days
Job Type: Contract
Description: We are seeking an AWS ML Cloud Engineer to design, deploy, and optimize cloud-native machine-learning systems that power our next-generation predictive-automation platform. You will blend deep ML expertise with hands-on AWS engineering, turningdata into low-latency, high-impact insights. The ideal candidate commands statistics, coding, and DevOps-and thrives on shipping secure, cost-efficient solutions at scale
Objectives of this role
  • Design and productionize cloud ML pipelines (SageMaker, Step Functions, EKS) that advance predictive-automation roadmap
  • Integrate foundation models via Bedrock and Anthropic LLM APIs to unlock generative-AI capabilities
  • Optimize and extend existing ML libraries / frameworks for multi-region, multi-tenant workloads
  • Partner cross-functionally with data scientists, data engineers, architects, and security teams to deliver end-to-end value
  • Detect and mitigate data-distribution drift to preserve model accuracy in real-world traffic
  • Stay current on AWS, MLOps, and generative-AI innovations; drive continuous improvement

Responsibilities
  • Transform data-science prototypes into secure, highly available AWS services; choose and tune the appropriate algorithms, container images, and instance types
  • Run automated ML tests/experiments; document metrics, cost, and latency outcomes
  • Train, retrain, and monitor models with SageMaker Pipelines, Model Registry, and CloudWatch alarms
  • Build and maintain optimized data pipelines (Glue, Kinesis, Athena, Iceberg) feeding online/offline inference
  • Collaborate with product managers to refine ML objectives and success criteria; present results to executive stakeholders
  • Extend or contribute to internal ML libraries, SDKs, and infrastructure-as-code modules (CDK / Terraform)

Skills and qualifications
  • Primary technical skills
  • AWS SDK, SageMaker, Lambda, Step Functions
  • Machine-learning theory and practice (supervised / deep learning)
  • DevOps & CI/CD (Docker, GitHub Actions, Terraform/CDK)
  • Cloud security (IAM, KMS, VPC, GuardDuty)
  • Networking fundamentals
  • Java, Springboot, JavaScript/TypeScript & API design (REST, GraphQL)
  • Linux administration and scripting
  • Bedrock & Anthropic LLM integration

Secondary / tool skills
  • Advanced debugging and profiling
  • Hybrid-cloud management strategies
  • Large-scale data migration
  • Impeccable analytical and problem-solving ability; strong grasp of probability, statistics, and algorithms
  • Familiarity with modern ML frameworks (PyTorch, TensorFlow, Keras)
  • Solid understanding of data structures, modeling, and software architecture
  • Excellent time-management, organizational, and documentation skills
  • Growth mindset and passion for continuous learning

Preferred qualifications
  • 10+ years of Software Experience
  • 3+ years in an ML-engineering or cloud-ML role (AWS focus)
  • Proficient in Python (core), with working knowledge of Java or R
  • Outstanding communication and collaboration skills; able to explain complex topics to non-technical peers
  • Proven record of shipping production ML systems or contributing to OSS ML projects
  • Bachelor's (or higher) in Computer Science, Data Engineering, Mathematics, or a related field
  • AWS Certified Machine Learning - Specialty and/or AWS Solutions Architect - Associate a strong plus
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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