Job title: Machine Learning Engineer -New York
Job type: Permanent
Emp type: Full-time
Salary type: Annual
Salary: GBP £275,000.00
Job published: 31-03-2025
Job ID: 32889
Contact name: Scott Daly
Phone number: +441782376766
Contact email: scott.daly@woodfordgray.com

Job Description

 Machine Learning Engineer /New York /Hybrid 

$220,000 - $275,000 + Benefits 

 

About the job

The Machine Learning Engineer will be an essential member of the Machine Learning R&D Team, where we engineer large tailor-made systems to solve complex data-related problems from many domains. My clients projects often require solutions that utilize the latest and the best from Deep Learning/Machine Learning research. They support advanced projects in both data-constrained and data-rich settings. Qualified candidates should be driven and be able to help craft these systems as a part of our R&D team.

Responsibilities:

Candidates are expected to be familiar with the motions of a classical Machine Learning workflow, and support the team with some of the following tasks:

  • Dataset Creation.
  • Data Exploration/Visualization.
  • Literature Review.
  • Data Wrangling.
  • Implementation and Training of Appropriate Models from Literature.
  • Characterization of Error in Models.
  • Iterative Optimization of Models.

On the engineering side of development, the Machine Learning Engineer will have the ability to be hands-on by:

  • Creating training and preprocessing pipelines for faster experimentation.
  • Creating algorithmic modules to interface your Models output with business requirements.
  • Integrating their code to a larger codebase.
  • Putting your model into production using AWS or GCP.

Required Qualifications:

  • BS. in Computer Science, or related field.
  • 3+ years of professional Software Development experience in Python.
  • Mastery of Deep Learning fundamentals and statistics underlying Machine Learning.
  • History of software projects putting Machine Learning systems into production in any capacity.
  • History of software projects in general.
  • Deep personal interest with the complete state of the art in a subfield of Machine Learning Research.
  • Ability to work independently, and within a team.
  • Ability to communicate effectively with non-technical stakeholders and supervisors.