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Python Casino Jobs (NOW HIRING)

CCT

Machine Learning Engineer (AWS)

Tulsa, OK · Remote

Strong Python skills and familiarity with common ML frameworks (scikit-learn, PyTorch, XGBoost, or ... Since 2012, Casino Insight has helped casinos replace manual work with streamlined workflows ...

CCT

Machine Learning Engineer (AWS)

Tulsa, OK

Strong Python skills and familiarity with common ML frameworks (scikit-learn, PyTorch, XGBoost, or ... Since 2012, Casino Insight has helped casinos replace manual work with streamlined workflows ...

Fanatics Betting & Gaming

Data Scientist III

Denver, CO

$117K - $167K/yr

Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West ... Strong SQL proficiency and strong proficiency in Python, with experience building and validating ...

Fanatics Betting & Gaming

Data Scientist III

Denver, CO · On-site

$117K - $167K/yr

Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West ... Strong SQL proficiency and strong proficiency in Python, with experience building and validating ...

1 point system

Lead Data Analyst

Miami, FL · On-site

Experience in cruise, casino, hospitality or a similar industry preferred * Strong proficiency in SQL, Python, Power BI, VBA, and Alteryx is essential, as these tools are foundational to driving ...

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How much do python casino jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for python casino in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is a Python Casino developer?

A Python Casino developer is a software professional who designs, develops, and maintains casino games or gaming platforms using the Python programming language. Their work often involves creating the game logic, user interfaces, and backend systems for online casinos or gaming applications. They may also be responsible for ensuring the games are fair, secure, and compliant with relevant regulations. Python’s versatility and ease of use make it a popular choice for rapid development and prototyping in the gaming industry.

What is the difference between Python Casino vs Python Developer?

AspectPython CasinoPython Developer
Required CredentialsBasic programming knowledge, gaming industry familiarityProficiency in Python, possibly certifications in software development
Work EnvironmentCasino software development, gaming companiesTech companies, software firms, startups
Industry UsageGaming and entertainment industryVarious industries including tech, finance, healthcare
Common Search IntentCasino software roles, gaming industry jobsSoftware development roles, Python programming jobs

Python Casino roles focus on developing gaming software for casinos, often requiring knowledge of gaming regulations and industry standards. Python Developer positions are broader, involving general software development skills across multiple industries. While both roles require Python skills, Python Casino roles are specialized for the gaming sector, whereas Python Developers have a wider application scope.

What are some common challenges faced by Python developers working in the casino gaming industry?

Python developers in the casino gaming industry often face unique challenges such as ensuring game fairness, compliance with strict regulatory standards, and handling high volumes of real-time data securely. Additionally, they must optimize code for performance to provide seamless user experiences and collaborate closely with game designers, QA testers, and security teams. Staying updated with evolving technologies and security protocols is also essential for success in this fast-paced environment.

What are the key skills and qualifications needed to thrive as a Python Developer in the casino gaming industry, and why are they important?

To thrive as a Python Developer in the casino gaming industry, you need proficiency in Python programming, experience with game development frameworks, and a solid understanding of probability and gaming regulations. Familiarity with tools such as Django, Flask, SQL databases, and version control systems like Git is typically required, along with relevant certifications in software development or computer science. Strong problem-solving skills, attention to detail, and effective teamwork set outstanding developers apart in this field. These skills and qualities are critical to ensure secure, fair, and engaging gaming experiences while maintaining compliance with industry standards.
Machine Learning Engineer (AWS)

Machine Learning Engineer (AWS)

CCT

Tulsa, OK • Remote

Full-time

Posted 4 days ago

Job description

Summary
 
We’re looking for a Machine Learning Engineer to design, deploy, and operate production ML systems on Amazon Web Services. You’ll own the full lifecycle in a real-world, high-stakes environment — from training and packaging through deployment, monitoring, retraining, security, and cost control.
 
This role sits at the intersection of ML engineering and MLOps and is core to CCT’s analytics strategy. You’ll partner closely with data scientists, engineers, and product stakeholders to turn complex time-series and transactional data into reliable, observable, and cost-effective ML services that our customers can trust.
 
You’ll thrive here if you naturally dig into why models behave the way they do, enjoy tracing issues to their root cause, and like collaborating across disciplines to ship robust systems that are built to last.
What You'll Do
  • Build and maintain reproducible model training workflows on AWS (SageMaker, S3, Glue, etc.), making retraining, rollback, and experimentation routine rather than heroic.
  • Deploy and operate real-time and batch inference services with full CI/CD pipelines, versioning, and safe rollout strategies (canary, shadow, A/B) so changes are deliberate and observable.
  • Instrument production models for performance, data drift, latency, and errors — and automate retraining triggers when models drift out of tolerance.
  • Maintain model lineage, auditability, and traceability to meet the compliance, governance, and reporting needs of the regulated gaming industry.
  • Enforce least-privilege IAM, encryption, and secure data access patterns across the entire ML platform.
  • Treat cost as a first-class engineering metric — right-size infrastructure, balance batch vs. real-time workloads, and continually reduce platform spend without sacrificing reliability.
  • Collaborate with engineers, data scientists, and product teams to translate business problems into ML solutions, communicate tradeoffs clearly, and iterate based on feedback.
  • Continuously explore new AWS services, ML frameworks, and deployment patterns to improve reliability, observability, and developer velocity on the ML platform.
Requirements
  • 3+ years of experience in machine learning engineering, MLOps, or a closely related discipline.
  • Hands-on experience with AWS ML and data services — SageMaker (training, endpoints, pipelines), S3, Lambda, Step Functions, CloudWatch, MWAA (Apache Airflow).
  • Experience working with time series data, including feature engineering, seasonality handling, and temporal train/test splits.
  • Strong Python skills and familiarity with common ML frameworks (scikit-learn, PyTorch, XGBoost, or equivalent).
  • Experience building and maintaining CI/CD pipelines for ML systems.
  • Demonstrated ability to monitor and debug production ML systems — latency, drift, errors, and data quality — and drive issues to root cause.
  • Comfort with SQL and working with structured data at scale.
  • Able to work collaboratively across teams, assume positive intent, and communicate clearly with both technical and non-technical stakeholders.
  • Track record of self-directed learning and technical growth in areas like AWS, ML frameworks, or deployment patterns.
Nice to Have
  • Experience in a regulated industry (gaming, finance, healthcare) where auditability, explainability, and compliance are first-class concerns.
  • Familiarity with feature stores, model registries, or ML metadata tools (e.g., MLflow, SageMaker Model Registry).
  • Experience with infrastructure-as-code (Terraform, CDK, or CloudFormation).
  • Exposure to data drift detection libraries or custom drift monitoring implementations.
Success Looks Like
  • Production models run reliably with clear, measurable business impact for casino operators.
  • Failures are observable, recoverable, and explainable — with logs, metrics, and traces that tell the full story.
  • ML systems scale predictably with usage and data volume, without runaway cost.
  • The ML platform becomes a trusted, well-understood part of CCT’s product ecosystem — for both internal teams and external customers.

About CCT 

CCT is the creator of Casino Insight™, the award-winning platform trusted by more than 350 casinos worldwide to automate cage operations, revenue audits, and operational analysis. Since 2012, Casino Insight has helped casinos replace manual work with streamlined workflows, improving accuracy, compliance, and profitability. 

Headquartered in Tulsa, Oklahoma, CCT integrates seamlessly with leading casino management, hospitality, and financial systems—delivering measurable ROI and empowering teams to work smarter at every level. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.