Artificial Intelligence Trainee (Career Accelerator with Employment Guarantee)

Nuyew Tech Academy
London
5 days ago
Create job alert

This is a remote position.

Are you looking to start a new career in Artificial Intelligence, data or automation? Want a training programme that leads directly to real job opportunities?

At Nuyew Tech Academy, we specialise in helping people launch successful tech careers—regardless of your background. Our AI Practitioner Career Pathway is designed to give you the practical skills, hands-on experience and career support you need to secure a high-demand role in this fast-growing industry.

What the AI Practitioner Career Pathway includes:

Comprehensive Training
Practical, beginner-friendly modules covering GenAI tools, Excel for data analysis and Python for automation.
Hands-on Project Experience
Work on a real-world AI Capstone Project to showcase your skills to employers.
Industry-Recognised Certifications
Earn globally respected qualifications from CompTIA, Pearson and CertNexus—boosting your CV and job prospects.
Dedicated Support
Ongoing guidance from our expert training and career support teams to ensure your success.
Career Development + Job Guarantee
We help you secure employment, offering CV writing, interview coaching, job search assistance—and our unique 3-Year Employment Guarantee.
Professional Network Access
Join our growing community of tech professionals and alumni to discover career opportunities and industry connections.
Flexible Funding Options
Scholarships and interest-free student loans are available to make the programme accessible for all.


Requirements


No previous experience or qualifications required
Strong interest in tech and AI
Ability to work independently and in a team environment
Detail-oriented and strong attention to accuracy and completeness
Willingness to learn and continuously improve technical and professional skills


Benefits


 

  • Career Advancement: Elevate your professional journey with a tailored training course that's designed to set you on the path towards high-demand tech roles.

 

  • Competitive Salary Prospects: Upon completing our training and gaining some relevant experience, candidates are poised to secure roles with salaries aligned to what's advertised on the job listing. Invest in your future potential!

 

  • <span style="font-family:"Arial", sans-serif; color:black; background:white">Employment Guarantee: If you haven't secured a tech job by course completion, we'll provide additional training and career support until you do. Still not employed after three years? We'll refund your tuition in full, and you keep your certifications. Your future in tech starts with us.


 

  • Professional Growth: Broaden your horizons and skill set with diverse professional development opportunities throughout and post-training

 

  • Dynamic Learning Environment: Experience a vibrant and supportive academy atmosphere where innovation meets education

 

  • Affordable Learning: We're committed to making education accessible. The academy career pathway tuition fee of £3995 can be funded by scholarship opportunities and interest free student loans which enable you to spread your tuition fee over 36 months.

 

Please Note: While we offer robust training and support to help candidates find employment, it's important to clarify that candidates will not be directly employed by Nuyew Tech Academy. Our commitment is to empower you with the skills and support needed to enhance your job prospects in the broader tech industry.




Related Jobs

View all jobs

Data Science Trainee

Data Scientist

Faculty in Applications of Physics, Data Science and/or Engineering to Particle Accelerators (Tenured, F1117A

Graduate Machine Learning Engineer - £30,000 (Edinburgh)

Computer Vision Specialist - Freelance AI Trainer Project

Forward Deployed Data Scientist

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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

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.