Junior AI Engineer / Machine Learning Engineer no experience needed in Yorkshire

Junior AI Engineer / Machine Learning Engineer no experience needed in Yorkshire

Yorkshire Internship 29700 - 36300 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Train in AI and machine learning, gain certifications, and work on real-world projects.
  • Company: Newto Training, dedicated to launching your tech career.
  • Benefits: Guaranteed job placement, competitive starting salary, and 1-to-1 tutor support.
  • Other info: Self-funded programme with a money-back guarantee if not hired.
  • Why this job: Join the booming AI industry and secure a future-proof career.
  • Qualifications: No experience needed, just a passion for technology and problem-solving.

The predicted salary is between 29700 - 36300 £ per year.

This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back.

AI is expected to generate 170 million jobs by 2030 and at present experienced professionals can earn salaries of upwards of £66,000. In today's digital world, AI is transforming every aspect of our lives and is at the heart of modern technological advancements. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise.

Newto Training's AI Engineer Career Programme is designed to help aspiring professionals gain the qualifications, practical experience and support needed to secure their first role in the industry. Whether you're looking for a complete career change, returning to work, leaving the Armed Forces, or seeking a future-proof career, we'll help you build the skills employers need.

How Our Career Programme Works:

  • Four industry-recognised certifications (exam voucher and exam resit support included):
    • Microsoft Azure AI Fundamentals (AI-901)
    • Microsoft Azure Data Fundamentals (DP-900)
    • CompTIA Data+
    • CompTIA DataAI
  • Practical, real-world project work designed to help you develop hands-on skills
  • Dedicated 1-to-1 tutor support throughout your learning journey
  • CV support, interview preparation, and career coaching
  • Access to our employer network and recruitment partners

Starting Salaries: Upon successful completion of the programme, we guarantee a starting salary of up to £40,000.

Who Is This Programme For? This programme is designed for individuals with little or no previous experience. You may be:

  • Looking for a career change
  • A recent school, college or university leaver
  • Currently working in another industry
  • Leaving the Armed Forces
  • Interested in technology and problem-solving

The most important qualities are a willingness to learn, good communication skills and a genuine interest in changing your career.

Our Job Guarantee: Successfully complete the programme and meet the agreed career support requirements, and we guarantee you'll receive a job offer within 6 months. If not, we'll refund 100% of your course fees. Full T&Cs available.

Ready to Start Your New Career? Click Apply Now to speak with an Advisor and take the first step towards a rewarding career in one of the UK's fastest-growing sectors.

Junior AI Engineer / Machine Learning Engineer no experience needed in Yorkshire employer: NEWTO TRAINING LIMITED

Join a dynamic and supportive environment where your growth is our priority. Our self-funded career programme not only guarantees a job upon completion but also offers comprehensive training and certification, ensuring you are well-prepared for the thriving field of Network Engineering. With a strong focus on employee development and a culture that values innovation and collaboration, this is an excellent opportunity to kickstart your career in a location that fosters both personal and professional success.

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Contact Details:

NEWTO TRAINING LIMITED Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Junior AI Engineer / Machine Learning Engineer no experience needed in Yorkshire

Join Data-Science Meetups

Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.

Utilise University Career Services

Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.

Show Off Your Stuff on GitHub

If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.

Apply Directly on Our Website

Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.

We think you need these skills to ace Junior AI Engineer / Machine Learning Engineer no experience needed in Yorkshire

Microsoft Azure AI Fundamentals
Microsoft Azure Data Fundamentals
CompTIA Data+
CompTIA DataAI
Hands-on Skills
Problem-Solving Skills
Communication Skills

Some tips for your application 🫡

Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!

Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at NEWTO TRAINING LIMITED will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!

Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!

Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!

How to prepare for a job interview at NEWTO TRAINING LIMITED

Brush Up on Your Coding Skills

As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.

Show Off Your Projects

Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress NEWTO TRAINING LIMITED.

Know Your Stats and ML Basics

Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.

Be Eager to Learn and Adapt

Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show NEWTO TRAINING LIMITED that you’re not just looking for experience, but that you're keen to contribute and grow within the team.