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

Exposure to Python ML/agent tools like TensorFlow, PyTorch, or LangChain. Data preprocessing and feature engineering with structured and unstructured data. Strong OOP and design patterns, Git, unit ...

AI/ML Engineers Location: Dallas, TX (Hybrid 2 days/week) Local Only Duration: 3 Months Contract ... python scripting Core requirements: • Strong command of SQL and experience with relational ...

Strong proficiency in CI/CD, DevOps, and MLOps is essential to support the deployment and ... Proficiency in Python, SQL, Scala, and scripting languages * Experience building production grade ...

Senior AI/ML Engineer Location: Memphis, TN / Dallas, TX ( Onsite ) Position : ( C2C Role ... Python Design, build, train, and optimize machine learning and deep learning models Implement AI ...

AI/ML Engineer Position: AI/ML Engineer Location: Malvern, PA (1st Choice); Charlotte, NC (2nd ... Proficient in Python and familiar with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.

Knowledge of speech-to-text and text-to-speech integrations Cloud & DevOps * Proficiency with AWS ... Java or Python * Production-level AI/ML experience * AI/ML architecture expertise * CI/CD pipelines

Data & ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Strong proficiency in CI/CD, DevOps, and MLOps is essential to support the deployment and ... Proficiency in Python, SQL, Scala, and scripting languages * Experience building production grade ...

Data & ML Engineer

Dallas, TX

$113K - $136K/yr

Strong proficiency in CI/CD, DevOps, and MLOps is essential to support the deployment and ... Proficiency in Python, SQL, Scala, and scripting languages * Experience building production grade ...

Senior Applied ML Engineer

Irving, TX · Remote

$125K - $183K/yr

We are looking for a Senior Applied ML Engineer to be part of revolutionizing these industries. We ... Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face). * Experience ...

AI/ML Engineer Location: Plano, TX or Houston, TX or Morris Plains, NJ, (Hybrid) Duration: Contract ... Proficiency in programming languages commonly used in machine learning, such as Python and/or R.

Core Responsibilities (AI/ML, Python, AWS, GenAI) * Design and implement end-to-end AI/ML and Generative AI solutions using Python, including model training, evaluation, optimization, and deployment.

Lead AI/ML Engineer

Irving, TX

$98K - $129K/yr

As a Lead ML/AI Engineer, you will drive the design and implementation of functionality related to ... Establish strong software engineering principles for development in Python on the Azure/Google ...

AI/ML Engineer Location: Irving, TX Salary Range: $120,000 - $125,000 a year (plus full time ... Strong proficiency in PyTorch (preferred) or TensorFlow, and Python-based ML development. * Solid ...

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)

Terraform, Python, Cloud, GCP, Data Management, AI/ML,MCP Technical Skills * AI/LLM Agent and MCP ... CI/CD Pipeline - Azure DevOps Pipeline * Infrastructure as Code (IaC) - Terraform Diverse Lynx LLC ...

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Python Ml Developer information

See Fort Worth, TX salary details

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How much do python ml developer jobs pay per hour?

As of Jun 15, 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, and why are they important?

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:
Infographic showing various Python Ml Developer job openings in Fort Worth, TX as of June 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% 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.

Java Full Stack AI Developer

BC Forward

Addison, TX

$68.25/hr

Other

Posted 2 days ago


Job description

Job Title: Application Programmer III Location: Addison, TX Duration: Contract - 10 months (potential contract-to-hire) Pay Range: $68.25/hr (W2) Job ID: 373553 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.

Job Description We are seeking a Software Engineer (Core Java, AI Agents) to join our dynamic team. The ideal candidate will have strong experience in Java and Python, AI agent development, and scalable software delivery and a proven ability to design, implement, and deploy autonomous agents and intelligent systems. Responsibilities: Design, develop, and deploy AI agents for autonomous decision-making and task execution.

Build robust services and APIs using Core Java and Spring Boot. Collaborate with cross-functional teams to integrate agents with data sources and external systems. Apply ML fundamentals to train, evaluate, and deploy models supporting agent behavior.

Implement CI/CD, unit testing, and debugging practices to ensure quality and reliability. Required Skills & Qualifications: Proficiency in Core Java; working knowledge of Python. Hands-on experience with AI agent development or integration (autonomous, conversational, or task-oriented agents).

Understanding of ML concepts: supervised/unsupervised learning, training, fine-tuning, transfer learning, embeddings, validation, evaluation, and deployment. Familiarity with Java-based ML libraries such as Deeplearning4j, Weka, or Apache Mahout. Exposure to Python ML/agent tools like TensorFlow, PyTorch, or LangChain.

Data preprocessing and feature engineering with structured and unstructured data. Strong OOP and design patterns, Git, unit testing, and debugging skills. Familiarity with CI/CD pipelines and Agile delivery.

Experience level: 5+ years in software engineering. Preferred Skills: Experience implementing autonomous agents for planning, decision-making, or environment interaction. Knowledge of agent frameworks such as JADE, OpenAI Gym, ReAct, or AutoGPT.

Understanding of agent architectures including reactive, deliberative, and multi-agent systems. Integration experience with APIs, databases, and external services. Exposure to AWS or Azure.

Familiarity with LLM-based agents and prompt engineering. Role Logistics & Process: Start month: July. Hybrid schedule: minimum 3 days onsite per week.

Onsite day 1. Interview process: first round in person at the Bank office, second round via video. Glider: ID verification.

Potential contract-to-hire. Candidates must not require sponsorship now or in the future. Approved location: Addison, TX.

Max 3 submissions per vendor. Submission Guidance: On resume: include current location and relocation plan. List availability, target start date, and any cooling-off period.

Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits.

Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects.

About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status.

Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.

Include your current location, relocation plan, availability, and any cooling-off requirement.