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Hedge Fund Machine Learning Jobs in Florida (NOW HIRING)

SOSi

Data Science Lead

Doral, FL

The contractor shall fund usage-based compute and storage costs through inter-task chargeback ... Proficient in advanced machine learning techniques, statistical modeling, and data science ...

SOSi

Data Science Lead

Doral, FL · On-site

The contractor shall fund usage-based compute and storage costs through inter-task chargeback ... Proficient in advanced machine learning techniques, statistical modeling, and data science ...

SOSi

Data Science Lead

Doral, FL · On-site

The contractor shall fund usage-based compute and storage costs through inter-task chargeback ... Proficient in advanced machine learning techniques, statistical modeling, and data science ...

Voloridge Health

Health AI Engineer

Jupiter, FL

... hedge fund. As an AI Engineer, you'll work at the intersection of engineering and real-world ... Learning new things and bringing new ideas and solutions to the challenges we face is a key driver ...

Prescient Edge

Data Science Lead

Doral, FL · On-site

Fund usage-based compute and storage costs through inter-task chargeback arrangements, as approved ... Personnel must be proficient in advanced machine learning techniques, statistical modeling, and ...

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Hedge Fund Machine Learning information

What engineer makes $500,000 a year?

In the context of hedge fund machine learning roles, senior quantitative engineers or machine learning engineers with extensive experience, advanced skills in programming, data analysis, and financial modeling can earn $500,000 or more annually. Compensation often includes base salary, bonuses, and profit-sharing, especially at top-tier firms or in senior positions.

What are the typical projects or challenges a Hedge Fund Machine Learning professional may encounter?

As a Hedge Fund Machine Learning professional, you may work on projects involving the development of predictive models for market movements, portfolio optimization, anomaly detection, or automated trading strategies. Common challenges include sourcing high-quality financial data, managing noisy or incomplete information, and ensuring that models remain robust in dynamic market conditions. Additionally, you will often collaborate with portfolio managers, data engineers, and other quant researchers to translate model insights into actionable investment strategies. Overcoming these challenges requires both technical expertise and adaptability, offering significant opportunities for career growth and impact within the fund.

Which 5 jobs will survive AI?

In the context of hedge fund machine learning, roles such as quantitative analysts, data scientists, machine learning engineers, risk managers, and compliance specialists are likely to persist as they require complex judgment, domain expertise, and interpretative skills that are difficult for AI to fully replicate. These jobs involve designing models, interpreting results, and making strategic decisions that complement AI tools. Continuous learning and proficiency with programming languages like Python and tools such as TensorFlow enhance job security in this field.

Do hedge funds use machine learning?

Hedge fund machine learning roles involve applying algorithms and statistical models to analyze financial data and inform trading strategies. Professionals in this field often use programming languages like Python or R and have strong quantitative skills. Machine learning is increasingly integrated into hedge fund operations to improve predictive accuracy and automate decision-making.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying role in artificial intelligence, such as a senior machine learning engineer or AI research director, often found in finance or technology firms. These positions usually require advanced skills in machine learning, data analysis, and programming, along with significant experience and sometimes advanced degrees. In the context of hedge funds, such roles involve developing algorithms and models to inform investment strategies.

What are the key skills and qualifications needed to thrive in the Hedge Fund Machine Learning position, and why are they important?

To thrive in a Hedge Fund Machine Learning role, you need a strong background in quantitative analysis, statistics, programming (often in Python or R), and machine learning, typically supported by a degree in mathematics, computer science, or a related field. Proficiency with data analysis libraries (like pandas, NumPy), machine learning frameworks (such as TensorFlow or scikit-learn), and experience with financial data sets or platforms is highly valuable. Effective communication, collaboration, and a strong problem-solving mindset are crucial soft skills in this role. These competencies are essential to designing and implementing robust trading models, navigating complex data, and working efficiently in a fast-paced, team-driven environment.

What is a Hedge Fund Machine Learning job?

A Hedge Fund Machine Learning job involves applying data science, artificial intelligence, and quantitative modeling techniques to improve trading strategies, risk management, and portfolio optimization. Professionals in this role develop and implement machine learning algorithms to analyze financial data, identify patterns, and generate predictive models for market behavior. They work closely with portfolio managers, traders, and quantitative researchers to enhance decision-making and generate alpha. Strong programming skills, expertise in statistics, and knowledge of financial markets are essential for success in this field.

What are popular job titles related to Hedge Fund Machine Learning jobs in Florida? For Hedge Fund Machine Learning jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Hedge Fund Machine Learning jobs in Florida look for? The top searched job categories for Hedge Fund Machine Learning jobs in Florida are:
Hedge Fund Machine Learning jobs near you
Infographic showing various Hedge Fund Machine Learning job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Machine Learning Engineer

Tata Consultancy Service Limited

Sunrise, FL • On-site

$90K - $110K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

Role - Machine Learning Engineer
Experience Required -8+ Years
We are seeking a Machine Learning Engineer to design, build, and deploy Generative AI solutions powered by Large Language Models (LLMs). In this role, you will work on end-to-end GenAI use cases, from model selection to production-ready systems. Key Responsibilities Develop and productionize GenAI applications using LLMs (open-source and closed-source). Design agentic workflows using LangChain and LangGraph.
Must Have Technical/Functional Skills:
We are seeking a Machine Learning Engineer to design, build, and deploy Generative AI solutions powered by Large Language Models (LLMs). In this role, you will work on end-to-end GenAI use cases, from model selection to production-ready systems. Key Responsibilities Develop and productionize GenAI 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.
• Collaborate with product and platform teams to deliver scalable AI solutions.
Required Qualifications
• Strong experience with LLMs (e.g., OpenAI, Anthropic, Llama, Mistral)
• Hands-on experience with LangChain and/or LangGraph.
• Solid understanding of LLM memory architecture and state management.
• Proficiency in Python and ML engineering best practices.
Nice to Have
• Experience with GCP services (e.g., Vertex AI, BigQuery, GCS).
• Experience deploying ML/GenAI systems in production environments.
• data scientist
• Can do ML model
Roles & Responsibilities
• Design, develop, and deploy GenAI applications using LLMs.
• Build and implement agentic workflows using LangChain/LangGraph.
• Develop ML models and production-ready AI solutions.
• Implement and manage LLM memory and state management strategies.
• Optimize prompts, retrieval pipelines, and orchestration workflows.
• Collaborate with product and platform teams to deliver scalable AI solutions.
• Deploy, monitor, and maintain AI/ML systems in production environments.
• Evaluate and integrate open-source and proprietary LLMs.
Base Salary Range : $90,000 to $110,000 Per Annum
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options : Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

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