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Machine Learning

3 months ago


London, United Kingdom Faculty Full time

Faculty transforms organisational performance through safe, impactful and human-led AI.
We founded in 2014 with our Fellowship programme, training academics to become commercial data scientists.
Today, we provide over 300 global customers with industry-leading software, and bespoke AI consultancy for retail, healthcare, energy, and governmental organisations, as well as our award winning Fellowship.
Our expertise and safety credentials are such that OpenAI asked us to be their first technical partner, helping customers deploy cutting-edge generative AI safely.
Our high-impact work has saved lives through forecasting NHS demand during covid, produced green energy by routing boats towards the wind, slashed marketing spend by predicting customer spending habits, and kept children safe online.
AI is an epoch-defining technology. We want people to join us who can help our customers reap its enormous benefits safely.
Artificial Intelligence is the most important technology of our age, but it is only valuable when it is applied in the real world - enhancing products, improving services, and saving lives. Since 2014, Faculty has helped 400+ PhD graduates, post-doctoral researchers, masters and experienced software engineers transition into a career in data science through our fellowship programme.
The Faculty Fellowship programme helps academics become highly-skilled data scientists and machine learning engineers, transitioning successfully into careers and industries that are ready to benefit from artificial intelligence. After two weeks of intensive lectures and workshops at Faculty, wherein fellows will learn how to apply their technical knowledge towards the application of data science, fellows are paired with project companies for a seven-week data science project, during which fellows are paid the London Living Wage.
The event is a great chance to network with hiring managers and influential individuals from a wide range of businesses from London, the UK and Europe.
from tech giants like Google, Microsoft and Meta, to the fastest growing startups like PhysicsX and Orbital Witness, to established FTSE 100 companies such as AstraZeneca and Tesco to name a few. You must have the right to work full-time in the UK. Unfortunately, we cannot sponsor this role , so please only apply if you have the right to work in the UK full-time. If this is on the basis of a visa, please provide details of your situation in your application.
A finished PhD or Master's in a STEM subject with some data science/machine learning experience.
The ability to code or have programming experience, especially in Python.
Some experience with theoretical concepts of statistical learning (e.g. hypothesis testing, Bayesian Inference, Regression, SVM, Random Forests, Neural Networks, Natural Language Processing, optimisation).
Experience with some coding libraries frequently used in data science.
Experience composing and following a project plan/sticking to self-imposed deadlines.
The coding test will take place at the beginning of July 2024 . Candidates will be notified about the coding test via email.
The programme runs from Monday 7 October to Friday 6 December 2024 (full-time, Monday to Friday).
Unfortunately, Faculty does not provide accommodation.
The two weeks of training at the beginning of the fellowship are free of charge to you.
After the programme, the fellows are welcome to join our free online community where all the fellowship alumni discuss data science news, techniques, conferences and much more. Faculty provides career support to the graduated fellows - once you are part of our "professional network", we will be delighted to keep in touch and help you succeed in your data science career. #