Senior Machine Learning Engineer at Blume Global
London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

27 Sep, 25

Salary

0.0

Posted On

28 Jun, 25

Experience

1 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Science, Working Experience, Numpy, It, Python, Computer Science, Unstructured Data, Computer Vision

Industry

Information Technology/IT

Description

COMPANY OVERVIEW

Our Shipamax Data Science team seeks a highly skilled and motivated Senior Machine Learning Engineer with 6+ years’ of experience. This team sits within Wisetech’s Digital Document portfolio and develops AI-based software to extract information from documents, structuring critical logistics data that powers the seamless movement of goods worldwide. You would join a team of experienced data scientists and engineers passionate about solving complex real-world problems in a friendly and stimulating atmosphere.

REQUIREMENTS

  • MSc in Computer Science, other STEM subjects .
  • 6+ years of working experience in data science in a commercial environment.
  • Strong programming skills in Python.
  • Experience with Computer Vision .
  • Experience in building and evaluating production-ready machine learning models.
  • Experience with Natural Language Processing (NLP) techniques.
  • Experience working with real-world datasets formed by unstructured data.
  • Solid understanding of fundamental concepts of data science.
  • Experience working with Numpy and PyTorch.
  • Experience working with cloud environments is not essential, but it would be beneficial.
  • Experience with Large Language Models is highly desirable.
Responsibilities
  • Collaborate with R&D and Product to bridge the gap between research and practical implementation, pushing the boundaries of what is achievable in 1-4 month projects.
  • Develop new production-ready machine learning models and improve existing ones.
  • Deliver impressive data extraction software that meets and exceeds customer expectations.
  • Responsible for the quality and ongoing evaluation of our data sets on existing and new ML models in pre-launch and in production.
  • Responsible for complex projects and coaching/supporting more junior team members.
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