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Paperwork, Made Smarter

Senior Machine Learning Engineer

£60k – £80k • 0.0% – 0.5%
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Vector.ai is a machine learning start-up on a mission to transform document-driven operations in the supply chain and shape the future of inter company and ‘inter-national’ trade. An applied AI company, we’re combining bleeding-edge machine learning research with a zealous focus on the customer; everything we do - across our stack - is informed by real-world operational insights. Our customers are some of the largest companies in the world, but our ambition is to help some of the most under-served companies too.

We’re searching for a Senior Machine Learning Engineer to lead our efforts in remaining at the bleeding edge of machine learning by spearheading our research efforts across the technology stack. You will also be involved in contributing to and overseeing the build and deployment of machine learning models into a highly scalable, distributed system along with our implementation focussed machine learning engineers.

Specifically we want someone who can:

- Research and update algorithms to maintain our status at the cutting edge
- Establish a data management pipeline to absorb new data and dynamically update core algorithms
- Bring machine learning systems into full production, working closely with members of the product and engineering teams
- Mentoring the rest of the machine learning team

Skills we expect:

- Work with python and a few common machine learning frameworks
- A good mathematical and theoretical understanding of machine learning fundamentals.
- Have experience building and deploying machine learning applications at scale
- Solid computer science fundamentals like object oriented programming and algorithms

Experience that would be good to have:

- PhD / Postdoc in machine learning or a related field
- Published papers at leading machine learning conferences like NIPS, ICML, ICCV, etc.
- Grasp of the fundamentals of all major aspects of modern artificial intelligence: computer vision, natural language processing, reinforcement learning, etc.
- Be familiar with working on real-world unstructured and noisy datasets

Generous salary and equity. Get in touch!

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