Machine Learning Engineer - India

Job description

We are a dynamic UK-based technology company that is fundamentally changing the way international logistics operates. We’re searching for a Machine Learning Engineer who is excited by the prospect of working at the bleeding edge of high tech in a rapidly growing scale-up. As we establish a global presence, we're expanding our team in India at pace and looking for fantastic engineers to join us. We've recently raised our Series A round from leading US investor Bessemer Venture Partners (LinkedIn, Twilio, Shopify), alongside Episode 1 (Zoopla, Betfair, Shazam) and supply chain-focused fund Dynamo Ventures (Sennder, Stord).

You will help lead our efforts to remain at the bleeding edge of machine learning by spearheading the implementation of machine learning models in production across the technology stack. You'll be involved in contributing to and overseeing the build and deployment of machine learning models into a highly scalable, distributed system along with the rest of the team. You will also work with our customers and their teams to implement solutions that improve their results. Specifically we're looking for somebody who can:

  • Implement and develop machine learning models in a scalable product architecture
  • Establish a data management pipeline to dynamically update core algorithms
  • Bring machine learning systems into full production, working closely with members of the product and engineering teams
  • Optimize existing implementations of machine learning models in production
  • Optimize open source implementations of research code to production ready systems
  • Communicate clearly, both with internal teams and customers.


  • Work with Python and a few common machine learning frameworks, including but not limited to Tensorflow, Keras and Pytorch
  • Have experience building and deploying machine learning applications at scale
  • Have a very solid grasp of both software engineering and machine learning fundamentals
  • It would also be great to have the following experience:
    • Grasp of the fundamentals of all major aspects of modern artificial intelligence - computer vision, natural language processing, reinforcement learning, etc.
    • 2+ years industry experience building and deploying machine learning applications
    • Be familiar with working on real-world unstructured and noisy datasets
    • Good understanding of MLOps practices

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