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Contract Machine Learning Startup Jobs in Florida

Dexian

Senior Applied Machine Learning Engineer

Tampa, FL · On-site

$115K - $152K/yr

Contract To Hire About the Opportunity We're seeking a Senior Applied Machine Learning Engineer to develop intelligent, production-ready solutions that directly improve business operations and ...

New

1872 Consulting

Data Scientist (FL)

Tampa, FL

FL Data Scientist Striveworks is a leader in Machine Learning Operations for highly regulated ... They are a startup, and this is a very unique opportunity to join the team in their fastest growing ...

1872 Consulting

Data Scientist (FL)

Tampa, FL

FL Data Scientist Striveworks is a leader in Machine Learning Operations for highly regulated ... They are a startup, and this is a very unique opportunity to join the team in their fastest growing ...

Lynker

Marine Sensor Data Scientist - AI/ML

Miami, FL · On-site

$110 - $160/hr

Hiring for this position will be contingent on contract award. The SEFSC Advanced Technology and ... Support or lead the development of machine-learning detectors and classifiers for sensor data.

New

Disys

Bigdata Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

Tampa, FL Duration: 12+ Months Contract to hire Job Responsibilities: Principal Responsibilities Design interfaces to the data warehouses/data storages and machine learning/Big Data applications ...

Charter Global, Inc.

AI/ML Engineer

Sunrise, FL · On-site

Hybrid onsite 3 days a week in Sunrise, FL Duration: 7 months+ contract Responsibilities: * Develop ... Proficiency in Python and machine learning libraries such as NumPy, Pandas, and Scikit-learn ...

Disys - Oak Brook

Bigdata Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

Tampa, FL Duration: 12+ Months Contract to hire Job Responsibilities: Principal Responsibilities • Design interfaces to the data warehouses/data storages and machine learning/Big Data • ...

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All JobsContract Machine Learning Startup JobsContract Machine Learning Startup Jobs in Florida

Contract Machine Learning Startup information

What are some common challenges faced by machine learning professionals working on a contract basis at startups?

Machine learning professionals working as contractors at startups often face challenges such as rapidly changing project scopes, limited access to large datasets, and the need to quickly adapt to new tools and frameworks. Startups typically move fast, so contractors must be comfortable with ambiguity and prioritize delivering value in short timeframes. Additionally, they may need to collaborate closely with cross-functional teams, such as product managers and engineers, to ensure that machine learning solutions align with business goals.

What is the difference between Contract Machine Learning Startup vs Data Scientist?

AspectContract Machine Learning StartupData Scientist
CredentialsRelevant degrees, certifications in ML/AITypically similar credentials, often with advanced degrees
Work EnvironmentProject-based, startup setting, flexible hoursOffice or remote, corporate or research settings
Employer & IndustryStartups in tech, AI, or data-driven sectorsVaried industries including tech, finance, healthcare
Search & Comparison IntentUnderstanding contract roles in ML startupsExploring data science career options

Contract Machine Learning Startup roles focus on short-term, project-based work within startup environments, often requiring specialized skills in ML and AI. Data Scientists typically work in more established companies or research settings, with similar credentials but often in a full-time capacity. Both roles demand strong technical backgrounds, but contract roles offer flexibility and varied projects, while Data Scientists may have more stability and broader responsibilities.

What are the key skills and qualifications needed to thrive in a contract machine learning startup role?

Success in a Contract Machine Learning Startup role generally requires expertise in machine learning algorithms, data analysis, and a solid background in computer science or related fields. Familiarity with programming languages such as Python or R, experience with ML frameworks like TensorFlow or PyTorch, and knowledge of cloud platforms (e.g., AWS, GCP) are typically expected. Strong problem-solving, adaptability, and effective communication help professionals collaborate with clients and respond to rapidly changing project requirements. These skills and qualities are vital to deliver innovative, scalable solutions in fast-paced, outcome-driven startup environments.

What is a contract machine learning startup?

A Contract Machine Learning Startup is a company or team that provides machine learning solutions and services to clients on a contract basis. Instead of developing their own products, these startups typically work with other businesses to build custom machine learning models, analyze data, and help integrate AI technologies into existing workflows. They may offer expertise in areas such as natural language processing, computer vision, or predictive analytics, and usually operate on short-term or project-based contracts. This approach allows client companies to access specialized knowledge without hiring full-time data scientists or engineers.
What are the most commonly searched types of Machine Learning Startup jobs in Florida? The most popular types of Machine Learning Startup jobs in Florida are:
What are popular job titles related to Contract Machine Learning Startup jobs in Florida? For Contract Machine Learning Startup jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Contract Machine Learning Startup jobs in Florida look for? The top searched job categories for Contract Machine Learning Startup jobs in Florida are:
What cities in Florida are hiring for Contract Machine Learning Startup jobs? Cities in Florida with the most Contract Machine Learning Startup job openings:
Contract Machine Learning Startup jobs near you

Senior Applied Machine Learning Engineer

Dexian

Tampa, FL • On-site

$115K - $152K/yr

Contractor

Posted 2 days ago

New

Job description

Senior Applied Machine Learning Engineer
Location: Tampa (Hybird)
Length: Contract To Hire
About the Opportunity
We're seeking a Senior Applied Machine Learning Engineer to develop intelligent, production-ready solutions that directly improve business operations and revenue outcomes. This role combines machine learning, software engineering, and data science to solve real-world operational challenges.
You'll partner closely with business leaders across Sales, Operations, and Customer Success to design, deploy, and continuously improve predictive models that influence critical business decisions. From optimizing customer scheduling to forecasting operational demand, you'll play a key role in transforming data into measurable business value.
What You'll Do
  • Design, develop, and deploy production-ready machine learning models that support core business operations.
  • Build predictive models to prioritize inbound leads and improve sales conversion.
  • Develop forecasting models to predict appointment outcomes, including cancellations, no-shows, and conversion probability.
  • Create intelligent scheduling recommendations that optimize appointment timing, technician routing, and daily operational efficiency.
  • Build forecasting models that anticipate staffing and technician capacity needs across geographic regions and seasonal demand.
  • Apply Natural Language Processing (NLP) techniques to customer interactions and call transcripts to identify trends, coaching opportunities, and performance insights.
  • Work closely with business stakeholders to identify additional automation and predictive analytics opportunities.
  • Deploy machine learning solutions through internal applications, REST APIs, dashboards, and embedded business tools.
  • Continuously monitor, evaluate, retrain, and improve models using operational feedback and evolving business data.
  • Engineer meaningful data features from operational, customer, and field-service data to improve model accuracy and business outcomes.
Required Qualifications
  • 3-5+ years of experience as a Machine Learning Engineer, Applied Data Scientist, or similar role.
  • Strong proficiency with Python and SQL.
  • Experience developing machine learning models using frameworks such as:
    • Scikit-learn
    • XGBoost
    • TensorFlow
    • PyTorch
  • Proven experience deploying machine learning models into production environments.
  • Strong understanding of model evaluation, validation, and performance optimization.
  • Experience developing backend services using Node.js and building RESTful APIs.
  • Experience packaging and operationalizing machine learning models for business applications.
  • Ability to collaborate directly with technical and non-technical stakeholders to translate business problems into scalable ML solutions.
Preferred Qualifications
  • Experience working with Google Cloud Platform (GCP).
  • Familiarity with modern MLOps platforms such as MLflow, Vertex AI, or similar tooling.
  • Experience working with Snowflake or enterprise cloud data warehouses.
  • Knowledge of API-driven architectures and production model deployment.
  • Experience building dashboards or integrating model outputs into business intelligence platforms such as Tableau or Power BI.
  • Experience working with geospatial optimization, routing algorithms, dispatch systems, or operational logistics.
  • Exposure to voice or contact center technologies, including platforms such as Twilio or RingCentral.
  • Experience supporting industries such as home services, logistics, transportation, field operations, or other operationally intensive environments.
What We're Looking For
The ideal candidate enjoys solving complex business problems using machine learning and modern software engineering practices. You are comfortable working across the full lifecycle-from data exploration and feature engineering to production deployment and ongoing model optimization.
Success in this role comes from combining strong technical expertise with curiosity, business acumen, and the ability to deliver solutions that create measurable operational impact.
Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support.
Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit https://dexian.com/ .
Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

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