Senior ML Engineer Jobs in Florida
Senior ML Engineer jobs in Florida are in strong demand, concentrated in fintech, defense and aerospace, healthcare technology, and enterprise software, with openings at every level from early-career machine learning engineers through principal and staff roles. Miami, Tampa, and Orlando anchor the market, where established employers such as Lockheed Martin, Chewy, and Citi have built engineering teams with sustained ML headcount. Florida's growth in AI-driven financial services and defense contracting makes inference optimization, NLP, and MLOps the most sought-after specialties. Find a role that fits below and apply directly.
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Payabli is a next-generation Payments Infrastructure and Monetization Platform purpose-built for vertical software companies. Through a single, developer-friendly API with low-code embedded payment components, Payabli enables platforms to seamlessly embed, monetize, and operationalize payments—making payments a core part of their platform and business model.
By unifying payment acceptance, payment issuance, and advanced payment operations tooling, Payabli empowers software companies to manage and move money through a single infrastructure stack that delivers total control over the payments experience. Built to scale with PCI DSS 4.0 and SOC 2-compliant security, Payabli’s infrastructure delivers enterprise-grade reliability and trust while leveraging AI-driven intelligence to enhance visibility, streamline operations, and drive revenue growth.
Backed by leading fintech investors including QED Investors, Fika Ventures, TTV Capital, and Bling Capital, Payabli is setting the standard for embedded payments infrastructure powering the next generation of vertical SaaS.
About the Role
Payabli is looking for a Staff Machine Learning Engineer to set the technical direction for ML at Payabli. A few models are already live and driving real decisions: reducing time-to-clear for risk reviews and scoring transactions and merchants. But that's the starting line, not the destination. We want to build a broad portfolio of models that make payments smarter and easier: automatically choosing the best payment method, reducing disputes and chargebacks, improving authorization rates, forecasting payouts, and more. We need a technical anchor who can both raise the bar on what's live today and stand up many new models from scratch, owning evaluation, monitoring, feature development, retraining, and a clear line from model performance to business impact.
The decisions you make in your first quarter (how we build and ship models here, what "good" looks like for ML) will be foundational for years as the function scales. You'll partner closely with product, engineering, and risk operations to find where models create the most leverage across the payments lifecycle and define what "good" means for ML at Payabli.
What You’ll Do
Set the technical direction for Payabli's model portfolio - both maturing what's live (transaction risk, merchant risk) and building new models across the payments lifecycle (payment method optimization, dispute/chargeback reduction, authorization rate improvement, payout forecasting, and beyond)
Establish the ML foundations the team will build on: experimentation workflows, model monitoring, drift detection, performance benchmarking, and incident response
Translate ambiguous payments problems into well-scoped modeling opportunities, and model performance into business terms (loss rates, approval/auth rates, dispute rates, review efficiency)
Raise the technical bar through influence and example: mentor ML engineers and set practices the future team inherits
Partner with product, engineering, and risk operations to own and prioritize the ML roadmap
What We’re Looking For
We're looking for someone who meets the minimum requirements below. If you meet them, we encourage you to apply. Your skills and trajectory matter more than checking every box.
8+ years of ML engineering experience, with 4+ years building and shipping production models that drive real business decisions
A track record of owning modeling architecture and seeing big, hard-to-reverse decisions through to production
Breadth across model types and problem framing. You can stand up a new model in an unfamiliar domain, not just optimize an existing one
Proven experience taking models from prototype to production and owning them post-launch (monitoring, retraining, incident response)
Deep grasp of modeling tradeoffs: precision/recall vs. operational cost, explainability, latency, and regulatory/compliance considerations
Experience establishing ML processes and infrastructure that a growing team inherits
A high technical bar set through influence and example. You make the work and the people around you better, and you're as comfortable in the codebase as in a design review
Ability to communicate model behavior and business impact to non-ML stakeholders
Comfortable in a fast-moving startup environment; bias toward shipping
Nice to Haves
Payments, fintech, or lending experience: chargebacks, merchant risk, KYC/KYB, authorization/routing, or similar domains. Experience with risk, underwriting, fraud, or credit models specifically is a big plus
Familiarity with AWS ML tools (e.g. SageMaker), and experience with feature stores, training/inference pipelines, and MLOps tooling
An interest in growing into people leadership as the function scales. We expect technical leadership from this role from the start; whether you want to manage a team down the road is genuinely up to you, and there's a clear path if you do.
We think you'll love being part of our team because
At Payabli, you'll have a front row seat into building a high-growth venture backed fintech company. As a senior leader in Operations, you'll shape how the organization scales and be the driving force behind our AI-first operations strategy — directly influencing how we build, automate, and optimize for the future. You'll stretch yourself every day, learn a ton, grow alongside the company, and have a lot of fun building Payabli with us. We're a values driven company that cares deeply about our team, partners, and customers. Our north star values are:
Team Love = Customer Love — You understand that when you build great products for your internal partners, they deliver exceptional experiences to merchants. You obsess over the platform partners and businesses that depend on every payout landing on time.
Run to the Fire — When ACH returns spike or a card program hits a snag, you're the first one in the war room. You don't shy away from hard problems—you chase them. You volunteer for the complex, messy challenges others avoid.
Little Things Count — You sweat the details because you know a single decimal error in a payout can damage a business. You double-check edge cases, validate every assumption, and understand that excellence lives in the details.
Truth Seekers — You give direct feedback, receive it with grace, and never let ego get in the way of finding the right answer. You document what you don't know, admit mistakes quickly, and hold yourself accountable in the open.
Relentlessly Curious — You're constantly asking "what if?" and "why not?" You study how competitors solve problems, explore adjacent industries for inspiration, and never stop learning about the payments ecosystem.
We build technology that gets noticed and a workplace where people want to grow their careers.. Our work has been recognized by some of the industry’s most respected organizations, including the 2026 Forbes Fintech 50 list, which highlights the most innovative private companies in financial technology, Inc.’s 2025 Best Workplaces, and Built In’s 2026 Best Places to Work in Miami.
What we can offer you
Competitive salary
Stock options with the potential to unlock more equity as we grow
Flexible PTO and paid parental leave
Medical, dental, & vision insurance
401K, HSA, pre-tax savings programs
Payabli is an equal opportunity employer and values a diverse, inclusive workplace.
Principals only. No external agency submissions. Candidates must apply directly; We will not accept submissions from third-party recruiters or staffing agencies.
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Where Florida roles are concentrated, by current openings.
Senior ML Engineer Job Market in Florida
A snapshot from current Florida openings, updated as new roles post.
Who's Hiring


Top Industries Hiring
- Consulting & Professional Services
What Florida Employers Look For
The qualifications that appear most often in senior ML engineer jobs across Florida.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Five or more years of hands-on experience building and deploying production ML systems
- Proficiency in Python and core ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience designing MLOps pipelines, model monitoring, and CI/CD workflows for ML
- Strong background in one or more Florida-relevant domains: fintech, defense, or healthcare AI
- Ability to lead technical design reviews and mentor junior engineers on ML best practices
Senior ML Engineer Jobs in Florida: Frequently Asked Questions
How do you become a senior ml engineer in Florida?
Senior ML engineer roles in Florida do not require a state-issued license, so the path runs through education and demonstrated experience. Most hiring managers expect at least a bachelor's degree in computer science, mathematics, or a related field, with a master's preferred at larger defense and fintech employers. Building a portfolio of production ML systems, contributing to open-source projects, and earning cloud ML certifications strengthens candidacy considerably in Florida's competitive market.
How much do senior ML engineers make in Florida?
Senior ML engineers in Florida earn a median of about $105,370 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $52,960 for the lowest 10% to over $173,260 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire senior ml engineers in Florida?
Employers hiring senior ml engineers in Florida right now include Northrop Grumman, PODS, and Mosai, based on current listings on Migrate Mate as of September 2026. Florida's defense corridor near Orlando and the fintech and banking sector concentrated in Miami and Tampa produce some of the most consistent senior-level openings in the state.
Which Florida cities have the most senior ml engineer jobs?
Melbourne, Miami, and Tampa have the most senior ml engineer openings in Florida. Miami leads because of its dense fintech, banking, and tech-startup ecosystem, Tampa draws demand from healthcare IT and insurance analytics firms headquartered there, and Orlando's concentration of defense contractors and simulation technology companies sustains steady ML engineering hiring even outside the largest coastal metros.
Are there remote senior ml engineer jobs in Florida?
Yes, and more than most fields. ML engineering is a desk-based, highly technical discipline that transfers well to remote work, making it one of the more remote-accessible roles in tech. About 38% of senior ml engineer openings tied to Florida are remote or hybrid as of September 2026, reflecting how broadly Florida employers have adopted flexible arrangements for this role. Research and modeling work is most often fully remote, while roles involving proprietary data or defense clearances tend to require on-site presence.
How can I get hired as a senior ml engineer in Florida with little or no experience?
The most realistic entry path is through a junior or associate machine learning engineer role, targeting Florida employers with structured new-grad programs. Large defense and aerospace firms near Orlando, including Lockheed Martin and L3Harris, run engineering rotational programs that place candidates without prior industry experience into ML-adjacent teams. Healthcare technology companies in Tampa have similar associate data science tracks. Building a GitHub portfolio of end-to-end ML projects and earning a cloud provider ML certification gives candidates without work history a credible edge.
Where can I find and apply to senior ml engineer jobs in Florida?
You can find and apply to senior ml engineer jobs in Florida on Migrate Mate, which lists current Florida openings from employers hiring now. Search the listings, find roles that match your experience and the Florida market you want to work in, and apply directly to each one.
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