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Manager Machine Learning Finance Jobs in Florida

Machine Learning Engineer - Generative Al Long term contract Sunrise, FL (Hybrid-3 days onsite ... Solid understanding of LLM memory architectures and state management. Proficiency in Python and ML ...

Non-Management Exempt Workshift: Job Family: IFT > Artificial Intelligence Please be advised that ... financial education resources, to name a few. Elevance Health operates in a Hybrid Workforce ...

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Manager Machine Learning Finance information

What does a Manager of Machine Learning in Finance do?

A Manager of Machine Learning in Finance oversees teams that develop and implement machine learning models to solve financial problems, such as risk assessment, fraud detection, and algorithmic trading. They coordinate with data scientists, engineers, and business stakeholders to ensure models meet regulatory standards and align with company goals. Additionally, they are responsible for project management, mentoring team members, and staying updated with advancements in both finance and artificial intelligence.

What are the key skills and qualifications needed to thrive as a Manager of Machine Learning in Finance, and why are they important?

To thrive as a Manager of Machine Learning in Finance, you need strong expertise in machine learning, statistics, and financial analysis, typically supported by a relevant advanced degree and experience in both data science and finance. Familiarity with programming languages like Python or R, cloud platforms, and machine learning frameworks such as TensorFlow or Scikit-learn is essential, along with knowledge of regulatory compliance systems. Exceptional leadership, strategic thinking, and communication skills set top candidates apart by enabling effective team management and cross-functional collaboration. These skills and qualities are crucial to drive innovative solutions, ensure regulatory adherence, and deliver business value in a complex financial environment.

What is the difference between Manager Machine Learning Finance vs Data Scientist Finance?

AspectManager Machine Learning FinanceData Scientist Finance
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or Finance; certifications in machine learning or data analysisBachelor's or Master's in Data Science, Statistics, or related fields; often includes certifications in data analysis or programming
Work EnvironmentLeads teams, manages projects, collaborates with stakeholders in financeAnalyzes data, develops models, supports decision-making in finance teams
Employer & Industry UsageFinancial institutions, hedge funds, investment firmsFinancial firms, banks, fintech companies

The Manager Machine Learning Finance oversees teams and projects applying machine learning to finance problems, focusing on leadership and strategy. In contrast, Data Scientists in finance primarily analyze data and develop models to support financial decisions. Both roles require strong technical skills, but the manager role emphasizes team management and project oversight.

How does a Manager of Machine Learning in Finance typically collaborate with cross-functional teams?

A Manager of Machine Learning in Finance often works closely with data scientists, software engineers, financial analysts, and business stakeholders. They are responsible for translating business problems into machine learning solutions and ensuring models meet both technical and regulatory requirements. Regular meetings and clear communication are essential, as the manager must align team efforts with organizational goals, facilitate knowledge sharing, and integrate model outputs into financial decision-making processes. Collaboration also involves coordinating with IT for data infrastructure and with compliance teams to uphold data privacy standards.
What are the most commonly searched types of Machine Learning Finance jobs in Florida? The most popular types of Machine Learning Finance jobs in Florida are:
What cities in Florida are hiring for Manager Machine Learning Finance jobs? Cities in Florida with the most Manager Machine Learning Finance job openings:
Infographic showing various Manager Machine Learning Finance job openings in Florida as of June 2026, with employment types broken down into 1% As Needed, 88% Full Time, 10% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.
Machine Learning Engineer

Machine Learning Engineer

Intraedge

Sunrise, FL • On-site

Other

Posted 26 days ago


Job description

Machine Learning Engineer - Generative Al

Long term contract

Sunrise, FL (Hybrid-3 days onsite)

Direct client- Immediate client interview

Job description:

We are seeking a Machine Learning Engineer to design, build, and deploy Generative Al solutions powered by Large Language Models (LLMs). In this role, you will work on end-to-end GenAl use cases, from model selection to production-ready systems.

Strong python, have work experiment on LLM, gen AI, Lang chain, Lang Graph, Python API, Google Cloud Platform

Key Responsibilities

Develop and productionize GenAl applications using LLMs (open-source and closed-source).

Design agentic workflows using LangChain and LangGraph.

Implement short-term and long-term memory strategies for LLM-based systems.

Optimize prompts, retrieval pipelines, and orchestration logic.

Colaborate with product and platform teams to deliver scalable Al solutions.

Required Qualifications

Strong experience with LLMs (e.g., OpenAl, Anthropic, Llama, Mistral).

Hands-on experience with LangChain and/ or LangGraph.

Solid understanding of LLM memory architectures and state management.

Proficiency in Python and ML engineering best practices.

Nice to Have

Experience with Google Cloud Platform services (e.g.,Vertex Al, BigQuery, GCS).

Experience deploying ML/GenAl systems in production environments.


IntraEdge logo

About IntraEdge

Sourced by ZipRecruiter

At heart, we are a technology, products and services organization In our soul, it’s the people who make us what we are — the professionals we train and connect to next-level opportunities and the experts who create innovative solutions and value for our national and international partners. It’s true that innovative technology can provide a major boost to your business, but you also need the right talent pushing it forward. This critical combination is what we offer all of our partners: cutting edge tech solutions and the expertise to bring it to life.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chandler, AZ, US

Year founded

2002

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