Machine Learning Engineer Engineering London

icon building Company : Upscale Labs
icon briefcase Job Type : Full Time

Number of Applicants

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000+

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Job Description - Machine Learning Engineer Engineering London

At Loci we’re building powerful and fast 3D content understanding algorithms. We leverage cutting-edge technologies such as computer vision, machine learning, and graphics to revolutionise 3D content management and creation.

AI has an important role in assisting 3D content creation. Loci’s ML platform helps enterprise clients understand their 3D content at scale and create entirely new 3D content much faster.

Loci uses state-of-the-art computer vision and computer graphics methods to fill this gap and provide enterprise clients tools to automatically label their 3D content, search for existing 3D assets with high precision, and create new 3D assets from arbitrary text prompts.

Role Summary

We're looking for a Machine Learning Engineer to work on methods for 3D content classification, retrieval, generation, and captioning.

The role is based in London (Vauxhall) with flexible work-from-home options.

You will be an integral part of our founding team. If the idea of building something beautiful from the ground up with a lean, deliberately paced team excites you, this could be a dream opportunity.

Competitive salary & stock options plan.

We are backed by leading European VC funds.

What You Will Be Doing

Write production code to support the development and deployment of deep learning algorithms for 3D content classification, retrieval, generation, and captioning.

Ensure the maintenance and monitoring of our deployed microservices.

Build ownership of data pipelines and contribute to their productionisation.

Writing reusable and well-structured machine learning code in our production system.

Maintain high software engineering standards.

Skills and qualifications

  • A Master's degree in machine learning, computer vision, graphics, or other relevant area.
  • Experience working with Docker both in development and deployment environments.
  • Experience reading/implementing CI/CD workflows.
  • Experience with relational databases.
  • Fluency in Python and at least one deep learning framework.
  • Strong communication skills.
  • Knowledge of AWS.

  • Flexible work-from-home - (If you do your best work from home, then we will support this as much as possible)
  • Office home set up - (budget to help you set up a second workstation wherever you need it)
  • Unlimited sick days & no holiday limit - (We are results-driven and want you to take as much time off as you need to enjoy your life and come into work feeling energised)

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