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Machine learningPythonLogistics
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Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal: ask the recruiter.
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No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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Can’t check pay against the visa rulesNo salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400).
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✓
Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Can’t check pay against the visa rules
- No salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400). Source: https://www.gov.uk/skilled-worker-visa/when-you-can-be-paid-less, rules effective 2025-07-22.
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Before you apply
Sponsorship unknown
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
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About the role
Why Faculty?
We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here .
We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.
Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.
AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.
Why the Faculty Fellowship?
Artificial Intelligence is the defining technology of our age, but it is only valuable when applied to the real world. Since 2014, Faculty has helped over 500 PhDs, postdocs and engineers transition into high-impact careers in data science and machine learning.
How it works:
• 2 Weeks of Intensive Training: Learn to apply your advanced technical knowledge to real-world data science problems.
• 6 Week Paid Placement: Tackle a commercial data science project with a host company (paid at the London Living Wage).
• Demo Day Finale: Present your work to 100+ guests and industry leaders from across the UK and Europe.
Where our alumni go : Our alumni have gone on to shape the future at companies like Google, Meta, Tesco, and AstraZeneca, as well as disruptive startups like PhysicsX and Orbital Witness. We are also incredibly proud that a high percentage of fellows choose to continue their journey internally, joining the Faculty team permanently.
About the role
As a Fellow at Faculty, you will join an elite cohort transforming industries through cutting-edge data science. This intensive, eight-week programme bridges academia and real-world impact, embedding you directly into high-stakes commercial environments.
You will apply advanced machine learning techniques to solve complex, ambiguous problems for our clients, turning theoretical knowledge into high-value deployable solutions. It is a fast-paced launchpad designed to accelerate your technical growth, build exceptional commercial acumen, and empower you to shape the future of artificial intelligence in an ambitious, forward-thinking tech community.
Who we're looking for:
• You hold a finished PhD or Master’s degree in a STEM subject, complemented by a strong foundation in data science or machine learning.
• You possess a high level of mathematical competence alongside solid experience with theoretical concepts like hypothesis testing, Bayesian inference, and neural networks.
• You demonstrate strong programming skills, particularly in Python, and feel comfortable navigating core data science coding libraries.
• You bring an entrepreneurial mindset, showing the resilience and autonomy needed to structure your own project plans and hit critical deadlines.
• You can communicate complex technical ideas clearly, adapting your language seamlessly for both technical peers and non-technical partners.
• You thrive in fast-paced, ambitious environments, showing curiosity and a relentless drive to learn and deploy new technologies.
Requirements
• Right to Work: We are unfortunately unable to offer visa sponsorship for this role, so you will need to hold full-time UK right to work to apply. If your eligibility is based on a visa, just pop the details of your situation into your application so we can review it. To learn more a
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