Lead Machine Learning Engineer

Industry: Technology
Remote
Company size: 11-50
Full-time/Part-time

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Job description

A fast-growing company that is developing a cutting-edge platform providing advanced and accurate data that helps customers to make property decisions, is looking for a Lead Machine Learning Engineer. The engineer will be taking ownership and ensuring that tasks are completed on time. The company is enabling customers to realize the full potential of property investments by using technology to understand the market. During their Series A round, the company managed to securely raise £3.2mn+ in funding. 

 

Job Responsibilities:

  • Define the product strategy, technical architecture, and craft core experiences
  • Communicate and prioritize technical requirements according to the company’s goals
  • Develop innovative machine-learning models for various applications
  • Work with the team to ensure consistent performance

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of relevant experience as a Machine Learning
  • Prolific experience working with Python and Data Engineering
  • Solid understanding of Machine Learning and related technologies
  • Ability to communicate effectively and fluently
  • Fluent in conversational and written English

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Leadership

In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

Equal Opportunity Policy

Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

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