Top 41 Python developer Jobs in Lake Mary, Fl

Sr Machine Learning Engineer
Disney Experiences —Orlando, FL
- $135,200 - $181,200 a year
- Azure
- Computer Science
- Research
Senior SCADA & Automation Engineer 2 - Grid
Sargent & Lundy —Lake Mary, FL
- $100,019 - $152,807 a year
- Full-time
- Hybrid work
- 7 years
- Office
- Continuous improvement
- Paid parental leave
- Health savings account
Infrastructure Engineer (AWS/ML) - Delivery Consultant, Software Engineering Solutions
Deloitte —Lake Mary, FL
- Full-time
- Hybrid work
- Office
- Residential
- SQL
11d
Senior Infra and DevOps Cloud Engineer - Senior Delivery Consultant, Infrastructure Engineering Solutions
Deloitte —Lake Mary, FL
- Full-time
- 5 years
- DevOps
- Office
Senior Software Engineer
TaxPlanIQ —United States
- $100,000 - $140,000 a year
- Email
- Remote
- Background check
- System design
- Java
- Health insurance
- Dental insurance
Quick Apply
Senior Salesforce Developer
CGI Group, Inc. —United States
- $97,300 - $156,700 a year
- Computer Science
- 8 years
- AWS
- Paid parental leave
- Paid holidays
7d

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AutoPayPlus by U.S. Equity Advantage —Orlando, FL
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Sr Machine Learning Engineer

Disney Experiences -
Orlando, FL

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Job Details

$135,200 - $181,200 a year

Qualifications

AI models
Performance monitoring
Continuous Delivery (CD) implementation
Software implementation
Generative models
Classification (ML)
Clustering algorithms
Application deployment
Research
AI platforms (beyond public GPTs)
Computational framework
Enterprise software systems development
Prompt engineering
Statistical analysis
Machine learning cloud services
Machine intelligence
Model deployment
Statistical modeling
Supervised learning
Developing large-scale AI models
Cloud Native Design
Relationship management
Leading team collaboration initiatives
Scalability
Monitoring system implementation
System deployment
Cloud automation
Clustering
DevOps automation
Unsupervised learning

Full Job Description

Job Summary:

At Disney Experiences Technology, our team creates world-class immersive digital experiences for the Company’s premier vacation brands including Disney’s Parks & Resorts worldwide, Disney Cruise Line, Aulani, A Disney Resort & Spa, and Disney Vacation Club. The Disney Experiences Technology team is responsible for the end-to-end digital and physical Guest experience for all technology & digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation, and Merchandise lines of business as well as other initiatives including the MyDisneyExperience app and Hey, Disney!

The team is seeking a results-oriented and hands-on Senior Machine Learning Engineer to design, develop, and deploy high-impact AI/ML solutions that drive measurable business value across our entertainment company. In this role, you will Senior complex, cross-functional projects with a strong emphasis on reuse, scalability, reliability, and performance.

The Senior ML Engineer will report to the ML Engineering Manager.

This position is in office.

About The Role & Team:

The DXT AI Technology Platform team is responsible for building an AI enablement platform for the DX segment that provides streamlined AI & Generative AI capabilities for the segment to build solutions around and on top of. The Senior Machine Learning Engineer will design, develop, implement enterprise grade and robust AI/ML solutions, including agentic systems, multi-modal models, RAG, and Responsible AI applications.

What You'll Do:

Own the operational backbone of the AI/ML platform — design and run the CI/CD pipelines, model/agent versioning, automated deployment, rollback, and release management that move systems from experimentation to production reliably and repeatably.

Stand up comprehensive observability and monitoring infrastructure — model/agent performance, drift, data quality, latency, cost, and reliability — with alerting and automated remediation where possible.

Develop production-scale AI systems, including multi-step agentic workflows and multi-agent orchestration platforms, and operationalize them end to end.

Drive complete ownership of the AI/ML lifecycle — implementation, testing, deployment, and continuous operational monitoring — delivering projects on schedule and to specification.

Design and implement Responsible AI frameworks — hallucination detection, safety guardrails, evaluation systems, and observability — to ensure model reliability, accuracy, and ethical deployment.

Establish evaluation frameworks for Large Language Models and agent-based systems, measuring model quality, task success rates, safety compliance, and operational effectiveness.

Champion LLMOps and MLOps best practices — infrastructure-as-code, reproducibility, automated testing, and environment parity — across the platform.

Partner strategically with cross-functional stakeholders including product managers, data scientists, application teams, vendors, and partners to align on requirements, iterate on solutions, and deliver successful outcomes.

Provide hands-on technical leadership, driving architectural decisions across AI development, LLMOps, quality assurance, and production deployment.

Proactively identify and resolve technical blockers that could impact project timelines or deliverables.

Communicate technical strategy and progress to executive leadership and key stakeholders with clarity and confidence.

Engage directly in development and problem-solving on high-complexity technical challenges to maintain project velocity and quality.

Drive innovation through research and experimentation with emerging AI technologies and frameworks, evaluating and integrating new capabilities that advance our platform.

Basic Qualifications:

5+ years of proven expertise in designing, building, and deploying AI/ML solutions at scale, with 1–2 years of production experience in Generative AI technologies.

Comprehensive MLOps/LLMOps experience with hands-on implementation of CI/CD pipelines, model and agent monitoring, versioning, observability, and lifecycle management in production.

Production deployment experience on major cloud platforms (AWS, Azure, or GCP) with a demonstrated ability to architect, scale, and operate cloud-native ML solutions.

Expert-level programming proficiency in Python and AI/ML development ecosystems.

Strong foundation in machine learning including statistical modeling, supervised and unsupervised learning algorithms.

Advanced skills in prompt engineering with a deep understanding of optimization techniques and best practices for LLM interactions.

Versatile ML skillset spanning traditional techniques (classification, regression, clustering) and cutting-edge deep learning approaches.

Production-grade Generative AI experience deploying and maintaining LLMs and multi-modal models in live environments.

Exceptional analytical capabilities with a track record of solving complex technical problems and thriving in ambiguous, rapidly-evolving situations.

Outstanding communication and collaboration skills with the ability to translate complex technical concepts for diverse audiences and drive cross-functional alignment.

Success partnering across organizational levels from individual contributors to senior leadership, building trust and delivering results.

Proven ability to influence and lead in matrix organizations where collaboration and relationship-building are essential to achieving outcomes.

Preferred Qualifications:

Experience with container orchestration and infrastructure-as-code (Docker, Kubernetes, Terraform) for ML workloads.

Experience with vector databases and embedding technologies.

Required Education:

Bachelor's degree in Computer Science, Machine Learning, Mathematical Sciences, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.

Preferred Education:

Master's degree or Ph.D in Artificial Intelligence, Machine Learning, Mathematical Sciences, Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.

#DISNEYTECH

#LI-AF2

The hiring range for this position in FL is $135,200.00 to $181,200.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

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python developer jobs in lake mary, fl

Sr Machine Learning Engineer

Senior SCADA & Automation Engineer 2 - Grid

Infrastructure Engineer (AWS/ML) - Delivery Consultant, Software Engineering Solutions

Senior Infra and DevOps Cloud Engineer - Senior Delivery Consultant, Infrastructure Engineering Solutions

Senior Software Engineer

Senior Salesforce Developer

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