At a Glance
- Tasks: Train in AI engineering and work on real-world projects.
- Company: Join a leading programme with dedicated recruitment support.
- Benefits: Earn while you learn with flexible payment options and career progression.
- Other info: Flexible online learning at your own pace with personalised tutor support.
- Why this job: Launch your career in AI with hands-on training and job placement assistance.
- Qualifications: No prior experience needed; just a passion for technology.
Placement Programme – Trainee AI Engineer – Hastings
Location: Hastings
Program Overview
This self‑funded programme leads to employment in AI engineering. Training, support and dedicated recruitment assistance are provided for roles across the UK. No prior experience is required.
Training & Development
- 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 placement
- Personalised 1‑to‑1 tutor support
- Portfolio development through hands‑on projects
Learning Flexibility
Train online at your own pace and become job‑ready in a few weeks. Flexible payment options allow you to spread the cost of training over 12 months, reducing financial pressure.
Salary Expectations
- AI Engineer: £45,000 – £60,000
- Machine Learning Engineer: £60,000 – £75,000
Career Support
Progression into senior AI roles with higher earning potential. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning and data science. Our specialised recruitment team helps secure your first job role.
Trainee AI Engineer Placement Programme in Hastings employer: ITonlinelearning
Join ITOL Recruit in Hastings, where we empower aspiring AI engineers through our comprehensive Trainee AI Engineer Placement Programme. With a strong focus on training and development, including AWS certification and hands-on projects, we foster a supportive work culture that prioritises employee growth and career progression. Our dedicated recruitment assistance ensures you are job-ready and well-prepared for a successful career in AI, making us an excellent employer for those seeking meaningful and rewarding opportunities.
StudySmarter Expert Advice🤫
We think this is how you could land Trainee AI Engineer Placement Programme in Hastings
✨Get in on the Data Science Meetups
Data science is all about community! Join local meetups or workshops related to data science and analytics. It's a fab way to network with industry professionals, learn about the latest trends, and maybe even snag a lead on an upcoming opportunity at companies like ITonlinelearning.
✨Show Off Your Projects
As a trainee, showcasing your skills is key. Start a GitHub repository with your projects or analytics problems you've solved. Share them on platforms like Kaggle, and make sure to link them on your LinkedIn. Potential employers, including ITonlinelearning, love seeing hands-on experience!
✨Connect with Alumni
Tap into your university's alumni network! Reach out to past graduates who are working in data science roles and see if they'd be willing to chat. They often have great insights into internship openings and can even refer you internally, increasing your chances with companies like ITonlinelearning.
✨Find Internships through Portals and Workshops
Keep an eye out for career fairs and workshops specifically targeting data science roles. Many companies, including ITonlinelearning, often scout for trainee talent at these events. Plus, applying directly through job portals and company websites can give you an edge!
We think you need these skills to ace Trainee AI Engineer Placement Programme in Hastings
Some tips for your application 🫡
Show Off Your Data Skills:Make sure to highlight your data-related skills clearly in your CV. If you've worked on any projects using Python or R, be sure to mention them. Also, if you've dabbled in machine learning, include that too—employers love a hands-on learner!
Include Relevant Projects:Since this is a trainee position, listing your university projects or any personal data science projects can really impress. Attach a GitHub link if possible, so ITonlinelearning can see your code and your thought process. Practical experience, even if it's academic, can set you apart!
Personalise Your Cover Letter:Use your cover letter to show how passionate you are about data science. Describe why you're excited about the opportunity at ITonlinelearning and how the role aligns with your career goals in this dynamic field. We want to see your enthusiasm and potential to grow.
Tailor Your CV for Trainees:Since you’re applying for a trainee position, focus on academic achievements and any relevant coursework in your CV. Don’t sweat the lack of professional experience—your ability to learn and adapt is what counts. Also, make sure to align your CV format with data science norms; keep it clear and concise!
How to prepare for a job interview at ITonlinelearning
✨Show Off Your Data Skills
Make sure you're ready to chat about the tools we use in data science, like Python, R, or SQL. Brush up on key concepts like data cleaning, analysis, and visualisation — interviewers often delve into these areas to see how you think and approach problems.
✨Prepare for Practical Assessments
Don't be surprised if you're given a case study or data set to analyse during the interview. We should be prepared to demonstrate how we interpret and present data findings — it's a chance to show off our analytical thinking in real time!
✨Highlight Your Passion for Learning
As a trainee, it’s all about showing your enthusiasm for data science! Share any personal projects, online courses, or relevant experiences. This tells ITonlinelearning that we’re eager to grow and develop our skills in this exciting field.
✨Ask Insightful Questions
Use this opportunity to find out more about the team’s projects and tools. Questions like ‘What data challenges are you currently facing?’ can demonstrate our interest while also helping us understand how we might fit into ITonlinelearning’s culture and workflow.
