Artificial Intelligence Intern

RadicalX
Leicester
1 year ago
Applications closed

Related Jobs

View all jobs

Artificial Intelligence Engineer Intern(Applied GenAI)

Artificial Intelligence Engineer Intern(Applied GenAI)

Artificial Intelligence and Machine Learning Intern

Artificial Intelligence Consultant

Artificial Intelligence Engineer

Artificial Intelligence Consultant

Who arewe

Radical AIis dedicated to advancing the field of artificial intelligence forsocial good. Our focus is on creating opensource AI tools thatenhance educational opportunities and foster career developmentglobally. We prioritize ethical AI practices inclusivity andtransparency ensuring our technology benefits everyone. At RadicalAI we believe in the power of collaborative innovation bringingtogether diverse perspectives to develop AI solutions that promotelearning and growth. Join us to be part of a community committed tomaking a positive impact through responsible AIdevelopment.


Whyjoin the opensourcelab

  • ImmersiveLearning Environment: Engage withcuttingedge technology in a vibrant ecosystem that fosterscommunitydriven growth and realworldimpact.

  • GuidedVirtual Experience: Navigate your journeywith the help of an AI Manager participating in coding challengesthat mirror everyday engineeringtasks.

  • EngagingCommunity Events: Participate in virtualmeetups workshops guest lectures and networking events to connectwith other interns and the broader RadicalXcommunity.

  • Flexibilityand Autonomy: Start your virtualexperience at any time with rolling start dates and a duration thatsuits your goals. Work flexible hours including weekends andafterhours as long as you coordinate with yoursquad



CoreResponsibilities:

Weare looking for strong Machine Learning interns to join ouropensource lab and help us explore and build innovative GenerativeAI solutions that will deliver the power of GenerativeAI.

  • Workon initiatives ongoing in the lab such as an AI Tutor and an AITeachingAssistant.

  • Deliverhighquality software that can be easily read and leveraged byothers.

  • Collaboratewith other engineers and product designers on the projects in thelab.

  • Investigateprototype and deliver innovative solutions throughout thestack.



Requirements

  • Fieldof study in Computer Science or a relatedfield

  • Experiencewith machine learning frameworks (e.g. TensorFlowPyTorch)

  • Proficientwith new ideas or improving upon existing ideas in machinelearning.

  • Proficiencyin Python C/C (orequivalent)



Benefits

  • Fieldof study in Computer Science or a relatedfield

  • Experiencewith machine learning frameworks (e.g. TensorFlowPyTorch)

  • Proficientwith new ideas or improving upon existing ideas in machinelearning.

  • Proficiencyin Python C/C (orequivalent)



Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.