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Python Ml Developer Jobs in Orlando, FL (NOW HIRING)

Worth AI

Senior Agentic (AI) Engineer

Orlando, FL · Remote

$107K - $146K/yr

Python, Node.js, TypeScript * Agent / LLM frameworks: LangGraph, LangChain, Claude Agent SDK, MCP ... Background in classical ML (ranking, scoring, calibration). * Experience designing explainable ...

INSPYR Solutions

Senior Software Engineer

Orlando, FL · On-site

$80 - $84/hr

Learn and apply concepts related to predictive analytics or AI/ML in automation use cases ... Experience developing backend services and/or APIs using languages such as Python, Go, or similar

Worth AI

Senior Agentic (AI) Engineer

Orlando, FL · On-site +1

$97K - $134K/yr

Python, Node.js, TypeScript * Agent / LLM frameworks: LangGraph, LangChain, Claude Agent SDK, MCP ... Background in classical ML (ranking, scoring, calibration). * Experience designing explainable ...

Worth AI

Senior Agentic (AI) Engineer

Orlando, FL · On-site +1

$97K - $134K/yr

Python, Node.js, TypeScript * Agent / LLM frameworks: LangGraph, LangChain, Claude Agent SDK, MCP ... Background in classical ML (ranking, scoring, calibration). * Experience designing explainable ...

AgileEngine

Lead AppSec Engineer ID71666

Orlando, FL · On-site

$95K - $125K/yr

We rank among the leaders in areas like application development and AI/ML, and our people-first ... NICE TO HAVES - Prior experience building or implementing AI-assisted developer workflows or ...

Capco

AI Technical Architect

Orlando, FL · Hybrid

$61.75 - $74.75/hr

Technology & Engineering | Type: Permanent Shape the architecture of enterprise-scale generative AI ... Proficiency in Python and experience with leading AI/ML frameworks and cloud platforms (AWS, Azure ...

Electronic Arts Inc.

Detection Engineer

Orlando, FL · On-site

... ML/LLM techniques for threat intel consumption, detection candidate creation and data ... Proficiency in automation development (Python preferred) and building/consuming APIs (REST, auth ...

The Walt Disney Company

Sr Software Engineer

Orlando, FL

$135K - $181K/yr

Hands-on expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data pipelines ... Excellent programming skills in languages Java and Python. * Experience with cloud platforms (AWS ...

Versant Media

Sr. Infrastructure Engineer

Orlando, FL · Remote

$101K - $137K/yr

... using Python, Bash, or similar • Collaborate with engineering, security, and product teams to ... ML or AI-assisted tooling WORKER TYPE Fully Remote: This position has been designated as fully ...

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All JobsPython Ml Developer JobsPython Ml Developer Jobs in Orlando, FL

Python Ml Developer information

See Orlando, FL salary details

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How much do python ml developer jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for python ml developer in Orlando, FL is $54.72, according to ZipRecruiter salary data. Most workers in this role earn between $45.10 and $62.16 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.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and interpreting complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and model deployment to adapt to evolving AI technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually involve leadership, strategic planning, and extensive experience in the field.

Which 3 jobs will survive AI?

For a Python ML Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, interpreting, and improving AI models, which currently require advanced expertise, critical thinking, and domain knowledge that AI cannot fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience.

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.

Can you do ML in Python?

Yes, Python is widely used for machine learning (ML) development due to its extensive libraries such as TensorFlow, scikit-learn, and PyTorch. Python skills are essential for a Python ML developer to build, train, and deploy ML models efficiently in various environments.
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What job categories do people searching Python Ml Developer jobs in Orlando, FL look for? The top searched job categories for Python Ml Developer jobs in Orlando, FL are:
What cities near Orlando, FL are hiring for Python Ml Developer jobs? Cities near Orlando, FL with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Orlando, FL as of July 2026, with employment types broken down into 81% Full Time, 8% Part Time, 1% Temporary, and 10% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $113,826 per year, or $54.7 per hour.

Senior Agentic (AI) Engineer

Worth AI

Orlando, FL • Remote

$107K - $146K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

Job description

Worth AI is hiring a Senior Agentic AI Engineer to design and ship production agent systems that automate KYB, underwriting, and risk decisions on regulated financial data. You’ll own agents end-to-end architecture, retrieval, tools, evals, and production deployment and partner closely with our Chief AI Officer, applied scientists, and platform teams.

Responsibilities
  • Design and ship multi-step agentic systems (planner/executor, tool-using, multi-agent, human-in-the-loop) for onboarding, underwriting, case review, and continuous monitoring.
  • Architect agent graphs in LangGraph (or comparable — CrewAI, AutoGen, Claude Agent SDK) with explicit state, durable execution, retries, and safe fallbacks.
  • Build the retrieval layer powering our agents — chunking, hybrid search, reranking, and grounded citation.
  • Own the eval stack: golden sets, offline regression suites, LLM-as-judge, online A/B and shadow evals, and red-teaming for jailbreaks, prompt injection, and PII leakage.
  • Expose agents to production systems via well-typed tools and MCP servers. Treat tool surface area as a product.
  • Drive production MLOps: deployment, versioning, traffic shaping, cost/latency budgets, tracing, and on-call playbooks for agent incidents.
  • Partner with security and compliance to keep agents inside SOC 2, GDPR, CCPA, and fair-lending posture — auditability and explainability built in, not bolted on.
  • Mentor engineers on agent patterns, prompt hygiene, eval discipline, and LLM failure modes.
  • Technology Stack
    • Languages: Python, Node.js, TypeScript
    • Agent / LLM frameworks: LangGraph, LangChain, Claude Agent SDK, MCP, OpenAI SDK
    • Models: Anthropic Claude, OpenAI, open-weight where appropriate
    • Retrieval & Data: PostgreSQL, pgvector, OpenSearch, Kafka, Redshift, Redis
    • Infra: AWS, Kubernetes (EKS), ArgoCD, Terraform
    • Evals & Observability: LangSmith / Langfuse / Braintrust-style tooling, DataDog

Requirements

  • 5+ years of software engineering experience, with 2+ years building production LLM or agentic systems (not just notebooks or demos).
  • Hands-on experience with a modern agent framework (LangGraph strongly preferred) and a track record of shipping agents that run, fail gracefully, and recover.
  • Strong RAG fundamentals chunking, embeddings, hybrid retrieval, reranking, grounding — and judgment about when RAG isn’t the right answer.
  • Real eval experience golden sets, offline and online evaluations, used to make ship/no-ship calls.
  • Production MLOps fluency: deployed LLM workloads under real latency, cost, and reliability constraints.
  • Strong Python; comfortable in TypeScript / Node.js.
  • Solid systems engineering instincts APIs, async patterns, queues, databases, distributed system failure modes.
  • Calibrated communicator; thrives in ambiguous, fast-moving environments.
  • Prior experience in fintech, lending, payments, KYB/KYC, fraud, or AML.
  • Experience building MCP servers or other structured tool interfaces for LLMs.
  • Background in classical ML (ranking, scoring, calibration).
  • Experience designing explainable / auditable AI workflows for regulated environments.
  • Open-source contributions to agent frameworks, eval tooling, or retrieval libraries.
  • AWS depth (EKS, MSK, RDS, S3, Lambda) and IaC with Terraform.
Success Metrics
  • Agent Quality: Measurable improvements in task success rate, grounding accuracy, and hallucination rate on our eval suites.
  • Production Reliability: Agents you own meet defined SLOs for latency (P90/P99), tool-call success, and cost per task.
  • Velocity: New agent capabilities go from prototype to production in weeks, without skipping evals or guardrails.
  • Risk Posture: Zero material incidents tied to prompt injection, PII leakage, or unsafe tool use on agents you own.
  • Force Multiplier: Patterns, tools, and eval scaffolding you build get adopted across engineering.

All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town Halls and team collaboration, in addition to orientation in Orlando.

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance
  • Flexible Paid Time Off
  • 9 paid Holidays
  • Family Leave
  • Remote
  • Hybrid work (for Orlando Associates)
  • Free Food & Snacks (Orlando)
  • Wellness Resources