How robust are supply chains in this age of globalisation?

Recent experience shows not nearly enough.

In the last year we've seen toilet roll stockpiling at the start of the pandemic...

Semiconductor shortages stopping smartphone or electric car production...

Evidence of Modern Slavery in the fashion industry supply chain...

Myriad shortages caused by the Suez Canal blockage...

Container ships queued outside ports for weeks due to lorry driver shortages...

Warnings of empty Christmas stockings…

An imperative to reach Net Zero.

At Versed AI we're helping companies take action to address these issues with AI-powered supply chain visibility to multiple levels.

Our tech is cutting edge AI (NLP & ML) that surfaces previously-unknown supplier relationships. Our customers use this insight to make better decisions and take meaningful action - improving their supply chain's resilience, environmental and ethical performance.

Spun out from our CTO's PhD research at Cambridge University, we're backed by Founders Factory, Innovate UK, the Royal Academy of Engineering and a member of Tech Nation's Applied AI 2021 cohort.

https://www.versed.ai/

We are looking for a Machine Learning Engineer in Natural Language Processing to join our energetic and diverse team focused on building a brand-new innovative product. Our exciting technology collects large volumes of text data from the web and ingests this data through our NLP pipelines to extract supply chain relationships and insights, this is then aggregated into large knowledge graphs that provide our clients with highly valuable insights about their supply chain networks.

You will work closely with our CTO, data team, and our core engineering team in a supportive environment to help bring your ML models from the lab into the real world.

This is a pivotal role in our team. The recent global supply chain issues have increased demand for Versed AI’s data, accelerated our product roadmap and doubled the size of our development team in the last 6 months. We expect this high growth to continue, and you’ll have a key role in shaping the future of tech development at Versed AI.

If you’d like to make a big impact at an exciting, fast-growing start-up, we’d love to hear from you!

Your Responsibilities:

• Develop, train, and deploy machine learning models for text classification and information extraction
• Help build and deploy NLP pipelines on cloud platforms
• Particular focus on Named Entity Linking and Relation Extraction tasks.
• Benchmark and measure the quality of the model’s predictions on data from various domains
• Keep up to date with the latest developments in AI and NLP

• Experience in common deep learning frameworks (e.g., PyTorch and TensorFlow) is required
• Experience in using modern NLP architectures (e.g. Transformers) is required
• Prior experience in building information extraction systems (especially involving Named Entity Linking and Relation Extraction) is highly desirable
• Experience in using NLP tools (e.g. spaCy) is desirable
• Prior experience in using Amazon SageMaker or Google Colab is desirable

Culture

You'll be joining a tight-knit team through the exciting stages of growing an AI tech business.

Our values are impactful and trusted - precisely what you'll be when you're helping the team to create game-changing value for Versed AI clients, particularly complex manufacturers.

We have a diverse range of nationalities in the team with locations spread across the UK, so you'll be joining a team comfortable with flexible working. We operate a mix of fully-remote and hybrid working (1-2 office days per week), so you'll be able to choose the best arrangement to suit your personal preference.

Perks/Benefits

• Flexible working location - we've been a virtual team since we started and also have access to co-working spaces in London and across the UK via our partnership with Flowspace.
• Flexible working times - whilst you’ll be doing a full-time role, some of us work better at different times of day. We’re happy to agree working schedules that align with your best times, as long as there is enough overlap with the team to appropriately carry out your role
• 33 days holiday (including Bank Holidays)
• Directly contribute to the growth of a VC-backed, Cambridge AI spin-out that's developing world-leading tech
• The chance to solve difficult problems and ownership of the solutions to those problems
• Opportunity to learn rapidly - you’ll be working with experienced tech pioneers in a fast-paced company and industry.
• As a growing company, there will be opportunities for career progression as we bring new clients onboard and expand the team.