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/

* This is a remote-first role; candidates should be based in the UK *

Responsibilities:

• As an NLP/ML Intern, you will work closely with the ML team to develop new products, and improve current ML solutions.

• More specifically, you will help in the research and development of machine learning models for ML/NLP based tasks (e.g. text classification, entity recognition, relation extraction etc.).

• Will aid the team to train and evaluate these ML/NLP models.

• Will help to build and deploy ML/NLP pipelines on cloud platforms.

• Keep up to date with the latest developments in machine learning and NLP.

Must have:

• Enthusiasm for career development in the Machine Learning field in particular in the field of Natural Language Processing.

• Have a good knowledge of the foundations of Deep Learning and Neural Networks.

• Experience using common deep learning frameworks (e.g. Pytorch, Tensorflow or Keras).

• Excellent command of a programming language: e.g. Python.

• Comfortable working with common Python packages (e.g. pandas, NumPy, or scikit-learn).

• Some experience in applying research to solve machine learning problems.

Desirable but not essential:

• Experience using NLP tools (e.g. spaCy) is desirable.

• Prior experience using Amazon Sagemaker or Google Colab.

• Knowledge of classic machine learning algorithms e.g. kNN, Random Forest, SVM.

• Understanding of software development lifecycles and engineering practices.

• Knowledge of some flavour of SQL.

• Contributions to open-source projects.

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 per annum (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.