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Machine Learning Engineer Associate Jobs in Orlando, FL

Senior ML Platform Engineer Job at a Glance * Title: Senior ML Platform Engineer * Location ... The ideal candidate is someone who builds and supports the platform that enables machine learning ...

Collaborate closely with the MLOps, product teams, business stakeholders, machine learning ... The health of our associates and communities is a top priority for Elevance Health. We require all ...

Focused on relationships, you are building meaningful client connections, and learning how to ... Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus ...

We are looking for aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering. Position ...

AI Engineer

Lake Mary, FL · On-site

$60K - $135K/yr

Develop and implement AI solutions using advanced machine learning techniques and algorithms. Work with Large Language Models (LLM) to enhance natural language processing capabilities. Write ...

The Senior Data Engineer designs and maintains curated datasets and data products that support reporting, analytics, machine learning, and operational decision-making. The ideal candidate applies ...

Full Stack/Java Developer(REMOTE)

Orlando, FL · On-site

$49 - $63.25/hr

We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics ...

They are looking for an experienced MLOps Engineer to join their Data and AI team to design and ... machine learning models • Experience with Model explainability (SHAP, LIME) or similar • ...

AI DevOps Engineer (AWS)

Orlando, FL

$49.25 - $67.50/hr

Design, build, and maintain scalable AWS cloud infrastructure supporting AI, Machine Learning, and ... Engineer - Professional, AWS Solutions Architect, or Azure/Google Cloud certifications. Why Join ...

Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming ...

Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming ...

Lead ML Ops Engineer

Orlando, FL · On-site

$95K - $126K/yr

This role manages a team of Machine Learning Operations Engineers, oversees the endtoend machinelearning strategy and execution, sets vision for MLOps, and ensures alignment with business goals. How ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

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Machine Learning Engineer Associate information

See Orlando, FL salary details

$38.7K

$77.1K

$123.2K

How much do machine learning engineer associate jobs pay per year?

As of Jul 13, 2026, the average yearly pay for machine learning engineer associate in Orlando, FL is $77,142.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,100.00 and $88,700.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Machine Learning Engineer Associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are Machine Learning Engineer Associates?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Associate, and why are they important?

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.
What are the most commonly searched types of Machine Learning Engineer jobs in Orlando, FL? The most popular types of Machine Learning Engineer jobs in Orlando, FL are:
What are popular job titles related to Machine Learning Engineer Associate jobs in Orlando, FL? For Machine Learning Engineer Associate jobs in Orlando, FL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Associate jobs in Orlando, FL look for? The top searched job categories for Machine Learning Engineer Associate jobs in Orlando, FL are:
What cities near Orlando, FL are hiring for Machine Learning Engineer Associate jobs? Cities near Orlando, FL with the most Machine Learning Engineer Associate job openings:
Senior ML Platform Engineer

Senior ML Platform Engineer

CEI

Kissimmee, FL

$70 - $80/hr

Full-time, Contractor

Posted 13 days ago


Job description

Senior ML Platform Engineer
Job at a Glance
  • Title: Senior ML Platform Engineer
  • Location: Orlando, FL
  • Contract: W2 only, 12-month contract with potential for extension or full-time conversion
  • Pay: $70-80/hr + optional medical, dental, vision, and 401(k) match

Overview
Our entertainment client is seeking a Senior Platform Engineer to help build and support the infrastructure that powers real-time computer vision and machine learning systems used across connected devices, cameras, and large-scale digital experiences. This is NOT a Data Scientist, AI Research, or Prompt Engineering role. The focus is on platform engineering, cloud infrastructure, Kubernetes, distributed systems, and production support for machine learning applications. The ideal candidate is someone who builds and supports the platform that enables machine learning systems to run reliably in production rather than someone primarily focused on developing ML models.
Key Responsibilities
Platform Engineering:
  • Build and support production platforms that power computer vision and machine learning workloads
  • Design and maintain scalable Kubernetes-based infrastructure supporting real-time systems
  • Develop automation, tooling, and services that improve reliability and operational efficiency
Production Support:
  • Troubleshoot complex production issues across infrastructure, applications, networking, and data pipelines
  • Design highly available, observable, resilient, and scalable systems
  • Monitor system health and optimize platform performance
Real-Time Systems:
  • Design and support event-driven architectures and real-time processing pipelines
  • Build and maintain microservices supporting distributed applications
  • Support high-throughput messaging technologies such as Kafka, Kinesis, Redis, or similar platforms
Cloud & Infrastructure:
  • Develop and maintain cloud-native solutions in AWS
  • Build and support containerized applications using Docker and Kubernetes
  • Maintain Linux/Ubuntu-based environments
Machine Learning Infrastructure:
  • Partner with computer vision and machine learning teams to deploy and operationalize models
  • Support inference pipelines and ML workloads running in production
  • Assist with deployment, monitoring, and scaling of ML-enabled applications
Required Skills
Platform Engineering:
  • 3+ years of software engineering or platform engineering experience
  • Strong Kubernetes experience
  • Strong Docker/containerization experience
  • Experience supporting production distributed systems
  • Experience building and supporting microservices architectures
Cloud & Development:
  • Strong AWS experience
  • Strong Python development experience
  • Experience working in Linux/Ubuntu environments
Real-Time Systems:
  • Experience building or supporting real-time/streaming data pipelines
  • Strong understanding of event-driven architectures
  • Experience with Kafka, Kinesis, Redis, RabbitMQ, Pulsar, or similar messaging technologies
Operations & Troubleshooting:
  • Proven production troubleshooting experience
  • Strong understanding of observability, monitoring, logging, and system reliability
  • Ability to independently investigate and solve complex technical problems
Machine Learning Awareness:
  • Experience supporting machine learning or computer vision systems in production environments
  • Understanding of inference pipelines and ML deployment workflows
Preferred Skills
  • Experience supporting computer vision applications
  • Exposure to object detection or inference pipelines
  • Experience with MLOps environments
  • AWS SageMaker
  • Experience with YOLO, OWL, SAM, VLMs, or similar computer vision models
  • Stream processing frameworks such as Spark Streaming, Kafka Streams, or Flink
  • Experience supporting high-visibility, performance-critical systems
  • Experience handling sensitive data with strong security and access controls
  • Java experience
Required Education
Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical field

About CEI
CEI is a trusted technology partner delivering solutions across strategy, application development, and managed services. Our staffing solutions provide specialized talent to support complex project and workforce needs.
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