JOB DETAILS

Machine Learning Engineer

CompanyLSports
LocationTel-Aviv
Work ModeOn Site
PostedDecember 21, 2025
About The Company
LSports aspires to lead the sports data industry by creating unique technologies in order to provide business advantages to our partners. Using our advanced sports technology, we collect and process enormous amounts of sports data in real-time. AI, ML, and CV are only some of the mechanics used to create the fastest and most trustworthy database, ultimately sent to our partners. We’re here to meet your needs. Creating innovative solutions to suit our partners' requirements is our main goal at LSports. We focus on making customizable and personalized services that will offer the best products possible.
About the Role

LSports is the leading global provider of sports data, dedicated to revolutionizing the industry through innovative solutions. We excel in sports data collection and analysis, advanced data management, and cutting-edge services like AI-based sports tips and high-quality sports visualization. As the sports data industry continues to grow, LSports remains at the forefront, delivering real-time solutions. If you share our passion for sports and technology and have the drive to advance the sports-tech and data industries, we invite you to join our team!

If you share our love of sports and tech, you've got the passion and will to better the sports-tech and data industries - join the team!

We are looking for a highly motivated ML Engineer.

About the team: Trade

Trade group is the powerhouse behind LSports exceptional portfolio of customer-facing products, blending innovation, functionality, and user experience to deliver industry-leading solutions that redefine customer engagement and satisfaction.

Responsibilities:

  • Lead the design and implementation of advanced machine learning algorithms to solve complex problems in a customer facing environment.
  • Collaborate closely with data engineers, product managers and domain experts to operationalize machine learning models into production.
  • Evaluate the effectiveness of machine learning models through comprehensive validation metrics and make iterative improvements.
  • Conduct research to keep abreast of the latest advancements in machine learning and artificial intelligence.

Requirements

REQUIREMENTS

  • 5+ years of experience in machine learning or data science, with a proven track record of deploying machine learning models into production.
  • Proficiency in Python and machine learning frameworks like PyTorch, or scikit-learn.
  • Strong understanding of algorithms, data structures, and statistical modeling techniques.
  • Product oriented - proven experience with ML PoCs / MVP from ideation to execution.
  • Experience with SQL and NoSQL Databases.
  • Experience with Databricks or similar.
  • Proven experience in Risk and Fraud AI products.

Advantages

  • MLOps experience
  • Experience with Kafka
  • Experience with building GenAI applications

Life at LSports

We’re honest with each other and open to new ideas. We challenge ourselves to excel, knowing that good relationships never come at the expense of professionalism. We’re dynamic, always growing and improving to stay on top.

Come join a team that’s all about winning together, with integrity and heart.


All the Extras You Deserve

• Hybrid work model

• Work From Anywhere – up to 30 days a year

• Extended parental leave for both mothers and fathers

• Quarterly recharge days – company-wide shutdown to fully unplug

• Health insurance

• Professional development budget & skills-based courses

• Birthday day off

And yes — we also care about the little things:

• Cibus

• Holiday eves off

• Team & company social events

• Dog-friendly office

• Kids summer camp

• Access to the Group Hug wellbeing platform

Key Skills
Machine LearningData SciencePythonPyTorchScikit-learnAlgorithmsData StructuresStatistical ModelingSQLNoSQLDatabricksRisk AIFraud AIMLOpsKafkaGenAI
Categories
TechnologyData & AnalyticsEngineeringSports & Recreation
Benefits
Health InsuranceProfessional DevelopmentHybrid Work ModelBirthday Day OffAccess to ‘Group Hug’ PlatformFun Company and Team Social EventsKids Summer Camp
Job Information
📋Core Responsibilities
Lead the design and implementation of advanced machine learning algorithms to solve complex problems in a customer-facing environment. Collaborate closely with data engineers, product managers, and domain experts to operationalize machine learning models into production.
📋Job Type
full time
📊Experience Level
5-10
💼Company Size
243
📊Visa Sponsorship
No
💼Language
English
🏢Working Hours
40 hours
Apply Now →

You'll be redirected to
the company's application page