1

Afternoon Software Engineer Applied Math Jobs in Brandon, FL

Senior Applied Machine Learning Engineer

Tampa, FL · On-site

$115K - $152K/yr

Senior Applied Machine Learning Engineer Location : Tampa (Hybird) Length : Contract To Hire About ... This role combines machine learning, software engineering, and data science to solve real-world ...

New

Formal training or certification on software engineering concepts and 7+ years applied experience in PEGA * Working experience on projects in Java * Demonstrates understanding of overall software ...

... engineering, physics, finance, and computational science applications. * Conceptual Teaching ... Familiar with applied mathematics curricula and common challenges such as translating physical ...

Senior Computer Scientist/Engineer

Tampa, FL · On-site

$98K - $135K/yr

... Software Engineering, Systems Engineering, Applied Mathematics, or related STEM field • 8 years of Relevant Experience • Strong expertise in RF engineering, spectrum management, signal processing ...

Senior Product Software Engineer

Tampa, FL · On-site

$115K - $152K/yr

Applied Problem Solving: Apply analytical and structured problem-solving approaches to resolve ... Software Engineering: The ability to design, develop, and maintain enterprise-grade software ...

Senior Product Software Engineer

Tampa, FL · On-site

$115K - $152K/yr

Take your software engineering career to the next level as a Lead Product Software Engineer within ... Applied Problem Solving: Apply analytical and structured problem-solving approaches to resolve ...

Senior Product Software Engineer

Tampa, FL · On-site

$115K - $152K/yr

Applied Problem Solving: Apply analytical and structured problem-solving approaches to resolve ... Software Engineering: The ability to design, develop, and maintain enterprise-grade software ...

Software Engineer: Level V Job Summary The Software Engineer Level V position at Beyond SOF is ... Required Qualifications • Bachelor's degree in engineering, computer science, mathematics, or ...

next page

Showing results 1-20

Afternoon Software Engineer Applied Math information

See Brandon, FL salary details

$55.2K

$128.2K

$178.6K

How much do afternoon software engineer applied math jobs pay per year?

As of Aug 8, 2026, the average yearly pay for afternoon software engineer applied math in Brandon, FL is $128,187.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,300.00 and $150,300.00 per year, depending on experience, location, and employer.

Senior Applied Machine Learning Engineer

Dexian

Tampa, FL • On-site

$115K - $152K/yr

Contractor

This job post has expired today. Applications are no longer accepted.


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.
  • Experience developing backend services using Node.js and building RESTful APIs.
  • 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 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.