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Machine Learning Engineer Jobs in Tallahassee, FL

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Cyber Manager - AI SOC

Tallahassee, FL

$105K - $142K/yr

Serving as an embedded engineering lead with client teams to translate operational workflows and ... Experience applying artificial intelligence, machine learning, or large language model workflows to ...

Experience applying artificial intelligence, machine learning, or large language model workflows to ... In this client-facing role, you will work with security engineers, security operations center teams ...

... Azure Machine Learning, and supporting data services • Strong grounding in platform engineering, infrastructure-as-code (e.g., Terraform, Bicep), and CI/CD pipeline design for AI workloads • ...

We modernize supply chains by implementing artificial intelligence, machine learning, and connected ... It also requires exposure to data science, and associated software and programming technologies.

Lead Data Scientist

Thomasville, GA · On-site

$144K - $198K/yr

Engineer trustworthy data: turn large, messy operational data into well-structured, trusted ... * 2+ years in SQL, Python, Machine learning modeling, and time-series analytics * Must be ...

Statics Tutor

Tallahassee, FL · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Showing results 41-60

Machine Learning Engineer information

See Tallahassee, FL salary details

$29.9K

$122.3K

$183.8K

How much do machine learning engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for machine learning engineer in Tallahassee, FL is $122,286.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,400.00 and $147,200.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are popular job titles related to Machine Learning Engineer jobs in Tallahassee, FL?

For Machine Learning Engineer jobs in Tallahassee, FL, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer jobs in Tallahassee, FL look for?

The top searched job categories for Machine Learning Engineer jobs in Tallahassee, FL are:

What cities near Tallahassee, FL are hiring for Machine Learning Engineer jobs?

Cities near Tallahassee, FL with the most Machine Learning Engineer job openings:

Infographic showing various Machine Learning Engineer job openings in Tallahassee, FL as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,286 per year, or $58.8 per hour.

Cyber - Google Cloud Security - Senior Manager

Deloitte

Tallahassee, FL • On-site

$105K - $142K/yr

Full-time

Re-posted 3 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services


Job description

Deloitte is seeking a Senior Manager to lead how clients secure their Google Cloud Platform (GCP) cloud and artificial intelligence (AI) estates across large-scale transformation initiatives. This role advises executive stakeholders on cloud and AI security strategy and architecture, leads teams delivering complex technical programs, and supports practice growth through sales, account expansion, and marketplace eminence. The ideal candidate combines deep GCP security experience with strong leadership, client service, and business development capabilities.

Our Deloitte Cyber team understands the unique challenges and opportunities businesses face in cybersecurity. Join our team to deliver powerful solutions to help our clients navigate the ever-changing threat landscape. Through powerful solutions and managed services that simplify complexity, we enable our clients to operate with resilience, grow with confidence, and proactively manage to secure success.

Recruiting for this role ends on 12/31/2026.

Work you'll do

As a Senior Manager on the GCP Cloud Security team, you will be responsible for:

  • Leading executive client relationships and Google Cloud and AI security engagements from strategy through implementation
  • Setting technical direction for securing GCP environments, including generative AI and machine learning services, Google Kubernetes Engine (GKE), data protection, encryption, and cloud-native security capabilities
  • Defining target-state cloud security operating models, reference architectures, roadmaps, and investment priorities aligned to business and technology transformation objectives
  • Driving executive workshops, developing recommendations, and presenting implementation strategies to client leadership
  • Overseeing engagement teams, delivery quality, risk, engagement economics, and coordination across technical workstreams
  • Leading business development, growing client accounts, and building practice eminence through solution development, thought leadership, and talent mentorship

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Our Enterprise Security offering embeds security in all aspects of digital transformation by securing a client's technical backbone while enabling secure digital transformation. Includes security architecture, secure development and deployment, end-to-end cyber cloud capabilities, application security, and security for emerging technologies and connected products.

Qualifications

Required:

  • Bachelor's degree
  • 15+ years of experience in cybersecurity, cloud security, technology strategy, or management consulting
  • 5+ years of experience securing Google Cloud Platform (GCP) environments, including cloud security architecture and control design
  • 6+ years of experience leading cloud security, security architecture, or cyber risk programs
  • 4+ years of experience managing teams and delivering workstreams in a client-service environment, including experience leading technical security proposals and growing client accounts
  • Experience with Google Cloud-native security services, including Security Command Center, Identity and Access Management, Organization Policy Service, Cloud Key Management Service, Google Kubernetes Engine, Cloud Data Loss Prevention, and artificial intelligence or machine learning security workloads; and experience developing enterprise cloud security strategy, roadmap, operating model, business case, or target-state architecture
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Master's degree in Business Administration, Cybersecurity, Information Systems, Computer Science, or Engineering
  • Experience securing generative artificial intelligence and agentic workloads on Google Cloud Platform services, including Gemini AI, Gemini Enterprise, Model Garden, or Model Armor
  • Experience leading large-scale transformation programs in a consulting or Big 4 environment
  • Experience authoring whitepapers or points of view and leading or speaking at industry security conferences
  • Experience with Google Cloud Organization Policy Service or policy-as-code at enterprise scale
  • Industry certifications such as Google Cloud Professional certifications, Certified Information Systems Security Professional (CISSP), Certified Information Security Manager (CISM), Certified Cloud Security Professional (CCSP), or Project Management Professional (PMP)

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $163,400 to $322,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Deloitte is seeking a Senior Manager to lead how clients secure their Google Cloud Platform (GCP) cloud and artificial intelligence (AI) estates across large-scale transformation initiatives. This role advises executive stakeholders on cloud and AI security strategy and architecture, leads teams delivering complex technical programs, and supports practice growth through sales, account expansion, and marketplace eminence. The ideal candidate combines deep GCP security experience with strong leadership, client service, and business development capabilities.

Our Deloitte Cyber team understands the unique challenges and opportunities businesses face in cybersecurity. Join our team to deliver powerful solutions to help our clients navigate the ever-changing threat landscape. Through powerful solutions and managed services that simplify complexity, we enable our clients to operate with resilience, grow with confidence, and proactively manage to secure success.

Recruiting for this role ends on 12/31/2026.

Work you'll do

As a Senior Manager on the GCP Cloud Security team, you will be responsible for:

  • Leading executive client relationships and Google Cloud and AI security engagements from strategy through implementation
  • Setting technical direction for securing GCP environments, including generative AI and machine learning services, Google Kubernetes Engine (GKE), data protection, encryption, and cloud-native security capabilities
  • Defining target-state cloud security operating models, reference architectures, roadmaps, and investment priorities aligned to business and technology transformation objectives
  • Driving executive workshops, developing recommendations, and presenting implementation strategies to client leadership
  • Overseeing engagement teams, delivery quality, risk, engagement economics, and coordination across technical workstreams
  • Leading business development, growing client accounts, and building practice eminence through solution development, thought leadership, and talent mentorship

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Our Enterprise Security offering embeds security in all aspects of digital transformation by securing a client's technical backbone while enabling secure digital transformation. Includes security architecture, secure development and deployment, end-to-end cyber cloud capabilities, application security, and security for emerging technologies and connected products.

Qualifications

Required:

  • Bachelor's degree
  • 15+ years of experience in cybersecurity, cloud security, technology strategy, or management consulting
  • 5+ years of experience securing Google Cloud Platform (GCP) environments, including cloud security architecture and control design
  • 6+ years of experience leading cloud security, security architecture, or cyber risk programs
  • 4+ years of experience managing teams and delivering workstreams in a client-service environment, including experience leading technical security proposals and growing client accounts
  • Experience with Google Cloud-native security services, including Security Command Center, Identity and Access Management, Organization Policy Service, Cloud Key Management Service, Google Kubernetes Engine, Cloud Data Loss Prevention, and artificial intelligence or machine learning security workloads; and experience developing enterprise cloud security strategy, roadmap, operating model, business case, or target-state architecture
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Master's degree in Business Administration, Cybersecurity, Information Systems, Computer Science, or Engineering
  • Experience securing generative artificial intelligence and agentic workloads on Google Cloud Platform services, including Gemini AI, Gemini Enterprise, Model Garden, or Model Armor
  • Experience leading large-scale transformation programs in a consulting or Big 4 environment
  • Experience authoring whitepapers or points of view and leading or speaking at industry security conferences
  • Experience with Google Cloud Organization Policy Service or policy-as-code at enterprise scale
  • Industry certifications such as Google Cloud Professional certifications, Certified Information Systems Security Professional (CISSP), Certified Information Security Manager (CISM), Certified Cloud Security Professional (CCSP), or Project Management Professional (PMP)

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $163,400 to $322,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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