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Machine Learning Engineer Associate Jobs in Orlando, FL

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 ...

Title:- AI ML Engineer Location:- Orlando, FL(Onsite) Long Term Contract Required Skills ... Experience in machine learning and deep learning with Python. * Familiarity with Azure and cloud ...

Sr. AI/ML Engineer

Orlando, FL

$97.60K - $134K/yr

Title: Sr. AI/ML Engineer Location: Orlando, FL (Onsite) Duration: Contract Rate: on W2 Only locals ... years of experience · - Experience in machine learning and deep learning with Python. · ...

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 ...

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

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 ...

Cole Engineering Services (CESI), a By Light company, is recognized as a premier provider of ... Machine learning or data analysis * Strong willingness to learn, take direction, and work ...

Lead ML Ops engineer

Orlando, FL · On-site

$95.70K - $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 ...

Data Scientist

Orlando, FL · On-site

$45 - $51/hr

... machine learning, mathematical optimization, and decision analysis, to name a few, in the ... Lead and manage interns, co-ops, Analysts, Engineers and/or Associate Data Scientists * Understand ...

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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Showing results 1-20

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 May 30, 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 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 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 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:
Infographic showing various Machine Learning Engineer Associate job openings in Orlando, FL as of May 2026, with employment types broken down into 1% As Needed, 62% Full Time, 34% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $77,142 per year, or $37.1 per hour.
MLOps Engineer

Full-time

Posted 28 days ago


DPR Construction rating

7.8

Company rating: 7.8 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

23rd of 77 rated construction


Job description

Job DescriptionDPR is looking for an experienced Data and MLOps Engineer to join our Data and AI team and work closely with the Data Platform, BI and Enterprise architecture teams to influence the technical direction of DPR's AI initiatives.
You will work closely with cross-functional teams, including business stakeholders, data engineers, and technical leads, to ensure alignment between business needs and data architecture and define data models for specific focus areas.

MLOps Engineer

DPR is a leading construction company committed to delivering high-quality, innovative projects. Our team integrates cutting-edge technologies into the construction process to streamline operations, enhance decision-making, and drive efficiency at all levels. 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 Overview

TheMLOps Engineerwill be instrumental inthe designand implementation of scalable, cloud-nativesolutions to meet the growing needs of ourData & Developmentteam.Thesuccessful candidatewill demonstrate the abilitytoabstract complexity andcreatereusable, scalable patternsthat accelerate development.The MLOps Engineerwilldesign, build and support the infrastructureand systemsthat enable our teams to deliver reliable, high-impactdata,workflows, and collaboratingclosely with data engineers, software developers, data scientists and product teams.

Responsibilities

  • Lead hands-on implementation of automation-first DevOps and MLOps practices, enabling infrastructure-as-code and consistent, repeatable environment provisioning

  • Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly detection

  • Standardize observability practicesacross AI/ML and other development teamsincluding logging, metrics, tracing, and model performance monitoring, ingesting data from multiple platforms

  • Design and deploy containerized MLworkloads,partnering withInfrastructureEngineering for cluster provisioning and governance

  • Extend existing CI/CD pipelines to support automated infrastructure changes and ML workflows

  • Implement AI-driven data validation, schema drift detection, and metadata management.

  • Establish governance frameworks for AI systems, including bias detection, explainability, and auditability

  • Extend existing Azure RBAC strategy by automating role and permission management to reduce manual intervention

  • Collaborate withInfrastructureEngineering toautomate infrastructure provisioning

  • Act as a technical point of contact forDevOps andMLOps practices,developing reusable patterns, documentation, and proof-of-concepts to drive adoption

Qualifications

  • Bachelor's degree in Computer Science,Data Science,Information Systems, or a related field

  • 5+years of experience inDevOps, MLOps,Data Engineering,Software Engineeringor Site Reliability Engineering

  • Strong understanding of cloudinfrastructure and experience working with at least one major cloudprovider, preferably Azure

  • Proficiencyinat least one objected-oriented programming language, preferably pythonwith hands-on experience inml frameworks like TensorFlow, PyTorch or Scikit-learn

Required Skills

  • Experience with CI/CD processes and automation

  • Experience withInfrastructure as Codetoolssuch as Terraform,Bicep

  • Proficiencyincontainerized application deploymentsand container orchestration- experience with Kubernetes, especially AKS would be a huge plus

  • Experiencestanding up and managingobservability tools such as Datadog, Azure Monitor or GrafanaforAPM, LLM Opsand model performance monitoring

  • Experiencedeploying production-ready machine learning models

  • Experience withModel explainability (SHAP, LIME)or similar

  • Experience with cloud cost management and practices (e.g., Azure Cost Management, chargeback/show back models).

Nice to Have

  • Experience in Azure, particularly AKS,ACR, ARM,App Service, Azure Machine Learning and AI Foundry, Azure Monitor

  • Familiarity with semantic search, retrieval-augmented generation (RAG), or embedding pipelines

  • Exposure to managing and monitoring ML workloads that support generative AI or advanced analytics use cases

  • Proficiency with Snowflake

  • Experience with workflow orchestration platforms such as Apache Airflow, Argo Workflow, Prefect, etc.

DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world.

Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek.

Explore our open opportunities atwww.dpr.com/careers.


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