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Machine Learning Jobs in Winter Park, FL (NOW HIRING)

Capco

AI DevOps Engineer (AWS)

Orlando, FL

$49.25 - $67.50/hr

Design, build, and maintain scalable AWS cloud infrastructure supporting AI, Machine Learning, and Generative AI platforms. * Develop Infrastructure as Code using Terraform (preferred), AWS ...

Firebirds Wood Fired Grill

Dish Machine Operator

Orlando, FL · On-site

$11.25 - $14/hr

As a Dish Machine Operator, you are a key part of our Back of House team--ensuring cleanliness ... Never worked in a restaurant before but have a passion for learning more? It will be our pleasure ...

Firebirds Wood Fired Grill

Dish Machine Operator

Orlando, FL · On-site

$11.25 - $14/hr

As a Dish Machine Operator, you are a key part of our Back of House team-ensuring cleanliness ... Never worked in a restaurant before but have a passion for learning more? It will be our pleasure ...

Pwc

US Tech - AI Engineering Senior Associate

Orlando, FL · On-site

$55K - $187K/yr

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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All JobsMachine Learning JobsMachine Learning Jobs in Winter Park, FL

Machine Learning information

See Winter Park, FL salary details

$24K

$40.2K

$83K

How much do machine learning jobs pay per year?

As of Aug 21, 2026, the average yearly pay for machine learning in Winter Park, FL is $40,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,600.00 and $43,400.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Is machine learning a high paying job?

Machine learning engineers and specialists are generally among the higher-paid roles in the tech industry due to their advanced skills in algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but the field is known for competitive compensation compared to many other tech roles.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the most commonly searched types of Machine Learning jobs in Winter Park, FL?

The most popular types of Machine Learning jobs in Winter Park, FL are:

What job categories do people searching Machine Learning jobs in Winter Park, FL look for?

The top searched job categories for Machine Learning jobs in Winter Park, FL are:

What cities near Winter Park, FL are hiring for Machine Learning jobs?

Cities near Winter Park, FL with the most Machine Learning job openings:

Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Winter Park, FL as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 25% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $40,152 per year, or $19.3 per hour.

AI DevOps Engineer (AWS)

Capco

Orlando, FL

$49.25 - $67.50/hr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 14 days ago

Job description

AI DevOps Engineer (AWS)

Location: Orlando, FL (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent, Full-Time

Build the cloud platforms powering the next generation of AI innovation.

The Role

Capco is looking for an experienced AI DevOps Engineer (AWS) to help design, build, and operate the cloud infrastructure that powers our Artificial Intelligence and Generative AI capabilities. Working within our Technology & Engineering Practice, you will enable AI Engineers and Data Scientists to deploy, scale, and manage AI solutions securely, reliably, and efficiently.

This is a senior individual contributor opportunity for someone who enjoys hands-on engineering, automation, cloud-native technologies, and solving complex platform challenges while working alongside multidisciplinary teams delivering innovative solutions for leading financial institutions.

What You'll Do
  • Design, build, and maintain scalable AWS cloud infrastructure supporting AI, Machine Learning, and Generative AI platforms.
  • Develop Infrastructure as Code using Terraform (preferred), AWS CloudFormation, or equivalent technologies while building automated CI/CD pipelines for AI applications and services.
  • Deploy, manage, and optimize containerized workloads using Docker and Kubernetes (Amazon EKS preferred), supporting AI model deployment and lifecycle management.
  • Implement monitoring, logging, observability, security, and governance across cloud environments while optimizing reliability, scalability, performance, and cost efficiency.
  • Collaborate with AI Engineers, Data Scientists, Data Engineers, and Solution Architects to continuously improve platform engineering, automation, and operational excellence.
What We're Looking For
  • 5-7 years of experience in DevOps, Cloud Engineering, Platform Engineering, or Site Reliability Engineering, supported by a Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
  • Strong hands-on experience with AWS cloud services, Infrastructure as Code (Terraform preferred), CI/CD tooling, Docker, Kubernetes, Linux administration, and cloud networking fundamentals.
  • Experience supporting AI, Machine Learning, data platforms, or MLOps environments, with strong scripting skills in Python and/or Bash.
  • Experience implementing monitoring, observability, IAM, secrets management, cloud security, governance, and operational best practices using tools such as CloudWatch, Prometheus, Grafana, Datadog, or Splunk.
  • Strong troubleshooting, communication, collaboration, and stakeholder engagement skills with the ability to work effectively across cross-functional engineering teams.
Bonus Points For
  • Experience with Microsoft Azure and/or Google Cloud Platform.
  • Experience supporting Generative AI, Large Language Models (LLMs), MLOps, MLflow, SageMaker, Kubeflow, or similar technologies.
  • Familiarity with vector databases, AI inference platforms, or modern model deployment architectures.
  • Experience working within Financial Services or other highly regulated industries.
  • AWS Certified DevOps Engineer - Professional, AWS Solutions Architect, or Azure/Google Cloud certifications.
Why Join Capco
  • Deliver high-impact technology solutions for Tier 1 financial institutions.
  • Work in a collaborative, flat, and entrepreneurial consulting culture.
  • Access continuous learning, training, and industry certifications.
  • Be part of a team shaping the future of digital financial services.
  • Help shape the future of digital transformation across Financial Services and Energy.
Benefits
  • Medical, Dental, and Vision coverage.
  • 401(k) with company match, Health Savings Account (HSA), Flexible Spending Account (FSA), and commuter benefits.
  • Maternity and paternity leave, dependent care support, and tuition reimbursement.
  • Wellness reimbursement and Working Advantage employee discount marketplace.
  • A people-first culture focused on continuous learning, career growth, and professional development.
Inclusion at Capco

We're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we'll be happy to help. We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day.

Use of Artificial Intelligence in Talent Acquisition

At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.

AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.

Inclusion at Capco

We're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we'll be happy to help. We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day.

We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.

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About Capco

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

201 - 500 Employees

Headquarters location

Grand Junction, CO, US

Year founded

1958

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