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Machine Learning Manager Jobs in Orlando, FL (NOW HIRING)

AI DevOps Engineer (AWS)

Orlando, FL · On-site

$49.25 - $67.50/hr

... Machine Learning, data platforms, or MLOps environments, with strong scripting skills in Python and/or Bash. * Experience implementing monitoring, observability, IAM, secrets management, cloud ...

Lead ML Ops Engineer

Orlando, FL

$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 ...

Sales Manager

Orlando, FL · On-site

$80K - $225K/yr

If you have any prior experience in sales, recruitment, HR technology, or machine learning ... Current Sales Managers who plug into our system, engage in self-development, and focus on core ...

... and machine learning, crossed with the knowledge and experience of our small team of EDPNA's and case managers. We are seeking a highly organized and dedicated Case Manager to join Advocate and ...

... and machine learning, crossed with the knowledge and experience of our small team of EDPNA's and case managers. We are seeking a highly organized and dedicated Case Manager to join Advocate and ...

Job Posting Title: Data Product Mgr Req ID: 10155281 As a Data Product Manager at Disney ... support machine learning workflows. * Quality & Governance: Support data governance practices by ...

Showing results 41-60

Machine Learning Manager information

See Orlando, FL salary details

$47.6K

$76.3K

$110.2K

How much do machine learning manager jobs pay per year?

As of Aug 7, 2026, the average yearly pay for machine learning manager in Orlando, FL is $76,276.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,600.00 and $86,400.00 per year, depending on experience, location, and employer.

What are some of the main challenges a machine learning manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

Is machine learning a high paying job?

Machine Learning Managers typically earn high salaries due to their specialized skills in data analysis, programming, and model development. Compensation varies based on experience, location, and industry, but it is generally considered a well-paying role within the tech sector.

What are the key skills and qualifications needed to thrive as a machine learning manager?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What is a machine learning manager?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are the most commonly searched types of Machine Learning jobs in Orlando, FL? The most popular types of Machine Learning jobs in Orlando, FL are:
What are popular job titles related to Machine Learning Manager jobs in Orlando, FL? For Machine Learning Manager jobs in Orlando, FL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Manager jobs in Orlando, FL look for? The top searched job categories for Machine Learning Manager jobs in Orlando, FL are:
What cities near Orlando, FL are hiring for Machine Learning Manager jobs? Cities near Orlando, FL with the most Machine Learning Manager job openings:

AI DevOps Engineer (AWS)

Capco

Orlando, FL • On-site

$49.25 - $67.50/hr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 19 hours 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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Capco logo

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