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- Tasks: Collaborate on AI projects and implement machine learning algorithms.
- Company: Educational software support company focused on innovation.
- Benefits: Gain hands-on experience in AI with no prior experience required.
- Why this job: Kickstart your career in AI and work on impactful projects.
- Qualifications: Independent, team-oriented, and good communication skills.
- Other info: Perfect for early-career professionals looking to grow in a dynamic environment.
The predicted salary is between 28800 - 48000 £ per year.
A educational software support company are seeking a motivated Junior AI Engineer to join their team and contribute to the development of an AI Agent. This is an excellent opportunity for a early-career professional to gain hands-on experience in artificial intelligence and machine learning while working on impactful projects. No experience required and is an ideal role for someone new to the industry. KEY DUTIES – * Collaborate with cross-functional teams to define project requirements and deliver scalable solutions. * Conduct data preprocessing, exploratory analysis, and model fine-tuning. * Implement machine learning algorithms * Stay updated on the latest advancements in AI to integrate innovative approaches into the project. CANDIDATE REQUIREMENTS * Independent skills * Team work skills * Organisational skills * Good written and oral communication skills * Self-Motivated Sound like you? Then send us an application and we will let you know if you are suitable for this position, or one of the other roles we have available
Junior AI Engineer employer: Back 2 Work Complete Training
Contact Detail:
Back 2 Work Complete Training Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with professionals on LinkedIn. You never know who might have a lead on that perfect Junior AI Engineer role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing any projects you've worked on, even if they're personal or academic. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI and machine learning. We recommend doing mock interviews with friends or using online platforms to boost your confidence and refine your answers.
✨Tip Number 4
Don't forget to apply through our website! It's the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates like you who are eager to dive into the world of AI!
We think you need these skills to ace Junior AI Engineer
Some tips for your application 🫡
Show Your Passion for AI: Let us know why you're excited about artificial intelligence and machine learning! Share any personal projects or relevant coursework that sparked your interest. We love seeing enthusiasm!
Tailor Your Application: Make sure to customise your CV and cover letter for the Junior AI Engineer role. Highlight your skills in data preprocessing and teamwork, and mention any relevant tools or technologies you've used. This helps us see how you fit into our team!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless necessary. We appreciate a well-structured application that’s easy to read and gets straight to the point!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Back 2 Work Complete Training
✨Know Your AI Basics
Brush up on fundamental concepts in artificial intelligence and machine learning. Be prepared to discuss basic algorithms and their applications, as well as any recent advancements in the field. This shows your enthusiasm and readiness to contribute.
✨Showcase Your Team Spirit
Since collaboration is key for this role, think of examples from your past experiences where you successfully worked in a team. Highlight your ability to communicate effectively and how you contributed to achieving common goals.
✨Prepare for Technical Questions
Even if you’re new to the industry, be ready to tackle some technical questions. Review common machine learning techniques and data preprocessing methods. Practising coding problems or discussing hypothetical scenarios can help you feel more confident.
✨Stay Updated and Curious
Demonstrate your passion for AI by mentioning any recent articles, papers, or projects that have inspired you. Showing that you actively seek out knowledge will impress interviewers and highlight your self-motivation.
