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Sports Analytics Machine Learning Jobs in Kentucky

Varsity Tutors

Machine Learning Tutor

Louisville, KY · Remote

$40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Lexington, KY · Remote

$40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Xometry

Senior Machine Learning Engineer

Lexington, KY · Hybrid

$103.90K - $142.60K/yr

Xometry is seeking a Senior Machine Learning Engineer to join our growing organization. The right ... You're comfortable working with SQL and/or NoSQL, understand database design, and data analysis

Xometry

Senior Machine Learning Engineer

Lexington, KY · On-site

$103.90K - $142.60K/yr

Xometry is seeking a Senior Machine Learning Engineer to join our growing organization. The right ... You're comfortable working with SQL and/or NoSQL, understand database design, and data analysis

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Sports Analytics Machine Learning information

What are the key skills and qualifications needed to thrive as a Sports Analytics Machine Learning Specialist, and why are they important?

To thrive as a Sports Analytics Machine Learning Specialist, you need a strong background in statistics, data analysis, programming (typically in Python or R), and an understanding of machine learning algorithms, often supported by a degree in data science, statistics, or a related field. Familiarity with data visualization tools, sports databases, and machine learning frameworks like TensorFlow or scikit-learn is essential, along with experience using SQL and data pipelines. Strong problem-solving, communication, and collaboration skills help translate complex data findings into actionable insights for coaches, players, and stakeholders. These skills are crucial for extracting meaningful patterns from vast sports datasets and driving performance improvements or strategic decisions within sports organizations.

How do Sports Analytics Machine Learning professionals typically collaborate with coaches and athletes to impact game strategy?

Sports Analytics Machine Learning professionals often work closely with coaches and athletes by translating complex data insights into practical recommendations. They attend strategy meetings, present findings through visualizations, and help interpret trends that can influence training, player selection, and in-game tactics. Effective communication is key, as these professionals must bridge the gap between technical analyses and real-world sports applications. This collaborative environment not only enhances team performance but also provides opportunities to see the direct impact of your work on the field.

What is sports analytics machine learning?

Sports analytics machine learning is the application of data science and machine learning techniques to analyze sports data, such as player statistics, game outcomes, and biometric information. Professionals in this field develop models to identify patterns, predict player performance, optimize team strategies, and gain competitive advantages. This work involves collecting large datasets, cleaning and processing data, and using algorithms to extract actionable insights that can benefit teams, coaches, and athletes. Sports analytics with machine learning is increasingly used in professional sports to inform decisions about training, recruitment, and game tactics.
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What job categories do people searching Sports Analytics Machine Learning jobs in Kentucky look for? The top searched job categories for Sports Analytics Machine Learning jobs in Kentucky are:
What cities in Kentucky are hiring for Sports Analytics Machine Learning jobs? Cities in Kentucky with the most Sports Analytics Machine Learning job openings:
Sports Analytics Machine Learning jobs near you

Machine Learning Engineer

Purple Drive Technologies

Louisville, KY • On-site

Full-time

Posted 8 days ago

Job description

Overview:
Job Title: Machine Learning Engineer
Location: Louisville, KY
Responsibilities:
  • Build, train, and deploy ML models for business use cases (classification, NLP, CV, recommendation).
  • Preprocess and analyze large datasets.
  • Collaborate with teams to integrate ML solutions into applications.
  • Monitor and improve model performance using MLOps practices.
  • Stay updated on new AI/ML techniques and tools.

Requirements:
  • Bachelor's/Master's in CS, Data Science, or related field.
  • Strong Python skills with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Experience with data pipelines, SQL/NoSQL, and cloud platforms (AWS/GCP/Azure).
  • Knowledge of MLOps (Docker, Kubernetes, MLflow, Airflow).
  • Strong problem-solving and analytical skills.

Apply