At a Glance
- Tasks: Train in AI Engineering with hands-on projects and real-world tools.
- Company: Join a leading tech programme with a focus on career success.
- Benefits: Earn £45,000 to £75,000, flexible training, and job placement support.
- Other info: Flexible payment options and dedicated tutor support throughout your journey.
- Why this job: Launch your career in AI with no experience needed and a money-back guarantee.
- Qualifications: No prior experience required; just a passion for technology.
The predicted salary is between 75000 - 75000 £ per year.
This is a self-funded programme that leads to employment, fees apply.
Job Guarantee: Complete the programme and get a job, or get your course fees back.
Location: UK Wide (Remote Opportunities Available)
Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required.
Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes:
- Official AWS Certified Cloud Practitioner certification
- Training in Python, Machine Learning, and AI systems
- Hands-on projects using real-world AI tools and technologies
- Professional CV and LinkedIn support
- Interview preparation
- Dedicated recruitment support until placed
- Personalised 1-1 tutor support
- Hands-on projects to build your AI portfolio
Flexible, affordable, achievable: To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure.
Salary expectations:
- AI Engineer: £45,000 - £60,000
- Machine Learning Engineer: £60,000 - £75,000
Progression into senior AI roles with higher earning potential. We support you into employment. We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role.
Important: Money-back guarantee applies to candidates who complete and pass all required qualifications, meet programme requirements, and actively engage with the recruitment process. If you do not secure a role within 12 months, you will receive a refund. Full T&Cs available on request.
Apply now to get started.
AI Engineer Placement Programme No Experience Needed in Biggar employer: IT Online Learning
Join a forward-thinking company that prioritises your growth and success in the rapidly evolving field of AI Engineering. With a supportive work culture, flexible training options, and a money-back job guarantee, we empower you to build a rewarding career without prior experience. Our dedicated recruitment team ensures you have the best opportunities across the UK, making this an ideal place for aspiring AI professionals to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer Placement Programme No Experience Needed in Biggar
✨Get Involved in Data Communities
Join local data science meetups or online communities like Kaggle, where you can showcase your skills through competitions and collaborate with others. Being part of these groups not only boosts your visibility but also opens up potential placement opportunities!
✨Leverage University Career Services
Don’t forget to check in with your university’s career services! They often have exclusive placement opportunities, workshops, and networking events tailored for data science students that can help you land that sweet gig at IT Online Learning.
✨Show Off Your Projects
Create a public portfolio or blog where you can share your data science projects. This not only demonstrates your skills but also gives potential employers like IT Online Learning a taste of what you can do! Plus, it’s a great conversation starter in interviews.
✨Connect with Professionals on LinkedIn
Reach out to data science professionals on LinkedIn and ask for informational interviews. Get to know their journeys and share your interest in placements. This approach makes you memorable and could open doors to opportunities at places like IT Online Learning.
We think you need these skills to ace AI Engineer Placement Programme No Experience Needed in Biggar
Some tips for your application 🫡
Show off Your Data Skills:As a budding data scientist, we want to see your hands-on experience. Make sure your CV highlights any relevant projects you've worked on, especially those involving data analysis or machine learning. Include any programming languages you're proficient in, like Python or R, and don't forget to mention tools like TensorFlow or SQL that you’ve used!
Craft a Passionate Cover Letter:For a placement, your enthusiasm and eagerness to learn mean loads to us! In your cover letter, express what excites you about data science and how it aligns with your aspirations. Share specific examples of what you've learned so far – whether it's courses, personal projects, or even data challenges you've tackled!
Make Your Projects Pop:We love seeing practical examples of your work, so if you have a portfolio, now's the time to shine! Include detailed descriptions of your projects, the data sources you used, the challenges you faced, and what you achieved. If possible, share links to your GitHub or a personal website showcasing your work – it adds that extra touch!
Demonstrate Statistical Knowledge:Data science isn't just about coding; it's also about understanding the stats behind the algorithms. Be sure to highlight any coursework or relevant certifications you have in statistics or data analysis on your CV. It’ll show us you’ve got the theoretical background to complement your practical skills!
How to prepare for a job interview at IT Online Learning
✨Master Your Data Tools
For a data science placement, it's crucial to get comfy with tools like Python, R, or SQL. Brush up on libraries like Pandas and NumPy, as you might be thrown some technical questions during the interview that require real-time coding or problem-solving.
✨Showcase Your Projects
Bring along a portfolio of your data projects, especially if they're relevant to IT Online Learning. Whether it's a Kaggle competition or a personal project, showing off your practical work can really set you apart and demonstrate your hands-on experience.
✨Prepare for Case Studies
Interviews in data science often include case study questions. Be ready to walk through your thought process on how to approach a data problem, what analysis you'd do, and how you'd interpret the results. This shows your analytical thinking and understanding of data.
✨Express Your Enthusiasm
Since it's a placement, they're looking for potential and enthusiasm just as much as skills. Be sure to express why you're passionate about data science, how you're eager to learn, and why you want to join IT Online Learning specifically. Let your motivation shine through!
