At a Glance
- Tasks: Complete training in AI Engineering and build practical skills through real-world projects.
- Company: Join a leading programme with over 15 years of experience in AI and machine learning.
- Benefits: Job guarantee, flexible payment options, and personalised tutor support.
- Other info: Affordable training with a structured pathway to employment in the exciting field of AI.
- Why this job: Launch your career in AI with hands-on experience and dedicated recruitment support.
- Qualifications: No prior experience needed; just a passion for technology and learning.
Salary: £30,000 - 45,000 per year
Requirements
- No prior experience required
- We offer a structured pathway into AI Engineering for people looking to start a career in the field
- We provide online training at your own pace and support to become job-ready in as little as a few weeks
Responsibilities
- Complete our training programme in AI Engineering
- Build practical skills through projects using real-world AI tools and technologies
- Develop your CV and LinkedIn profile with our support
- Prepare for interviews with our guidance
- Work with our recruitment team until you are placed into a role
- Complete hands-on projects to build your AI portfolio
Technologies
- AI
- AWS
- Cloud
- Support
- Machine Learning
- Python
We are offering a self-funded programme with a job guarantee: complete the programme and get a job, or get your course fees back. We provide a structured pathway into AI Engineering with training in Python, Machine Learning, AI systems, an official AWS Certified Cloud Practitioner certification, personalised 1-1 tutor support, and dedicated recruitment support for roles across the UK. Our programme is flexible and affordable, with payment options to spread the cost over 12 months. We have over 15 years of experience supporting candidates into AI, machine learning, and data science roles, and we focus on helping you achieve employment outcomes.
Trainee AI Engineer in Birmingham employer: AI Jobs at ITOL Recruit
At ITOL Recruit, we pride ourselves on being an excellent employer by fostering a supportive and innovative work culture that encourages continuous learning and professional growth. Our AI Engineer Traineeship in Greater London not only offers comprehensive training in Python, machine learning, and AWS but also provides a unique opportunity to work on real-world projects, ensuring that you gain valuable experience while preparing for a successful career in technology.
StudySmarter Expert Advice🤫
We think this is how you could land Trainee AI Engineer in Birmingham
✨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 AI Jobs at ITOL Recruit.
✨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 AI Jobs at ITOL Recruit, 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 AI Jobs at ITOL Recruit.
✨Find Internships through Portals and Workshops
Keep an eye out for career fairs and workshops specifically targeting data science roles. Many companies, including AI Jobs at ITOL Recruit, 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 in Birmingham
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 AI Jobs at ITOL Recruit 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 AI Jobs at ITOL Recruit 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 AI Jobs at ITOL Recruit
✨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 AI Jobs at ITOL Recruit 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 AI Jobs at ITOL Recruit’s culture and workflow.
