Trainee AI Engineer

Trainee AI Engineer

Trainee 20000 - 28000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Develop and test AI models while collaborating on exciting projects.
  • Company: Join a supportive tech team focused on growth and innovation.
  • Benefits: Competitive salary, flexible working, and industry-recognised training.
  • Why this job: Kickstart your career in AI with hands-on experience and mentorship.
  • Qualifications: Passion for AI and basic Python knowledge; no prior experience needed.
  • Other info: Structured training programme with clear progression opportunities.

The predicted salary is between 20000 - 28000 £ per year.

Location: Remote / Hybrid

Job Type: Full-time

About the Role

We are looking for a motivated Trainee AI Engineer to join our growing technology team. This role is ideal for individuals looking to break into artificial intelligence and machine learning, including recent graduates or career changers. You will receive structured training, hands‑on project experience, and mentorship while working on real‑world AI applications. No prior professional AI experience is required — just curiosity, commitment, and a willingness to learn.

Key Responsibilities

  • Assist in developing and testing AI and machine learning models
  • Work with data to clean, analyse, and prepare datasets
  • Support the deployment of AI solutions into real-world applications
  • Collaborate with engineers and stakeholders on AI‑driven projects
  • Learn and apply best practices in model evaluation and optimisation
  • Document work and contribute to technical reports

What We’re Looking For

  • Strong interest in AI, machine learning, or data science
  • Basic understanding of Python (or willingness to learn quickly)
  • Familiarity with concepts such as data analysis, algorithms, or statistics (a plus)
  • Good problem‑solving skills and attention to detail
  • Strong communication skills and ability to work in a team
  • Commitment to continuous learning and professional development

Training & Development

  • Structured AI engineering training programme
  • Mentorship from experienced AI engineers
  • Hands‑on experience with real AI projects
  • Exposure to tools such as Python, TensorFlow, PyTorch, and cloud platforms
  • Career progression opportunities upon successful completion

What We Offer

  • Competitive trainee salary / stipend
  • Remote or flexible working options
  • Industry‑recognised training and certification
  • Clear progression into a Junior AI Engineer role
  • Supportive and growth‑focused team environment

Trainee AI Engineer employer: Nxsteprecuitment

Join our innovative technology team as a Trainee AI Engineer, where you'll benefit from structured training and hands-on experience in artificial intelligence and machine learning. Our remote and hybrid work options provide flexibility, while our supportive culture fosters continuous learning and career progression, making it an ideal environment for aspiring engineers to thrive and make a meaningful impact.
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Contact Detail:

Nxsteprecuitment Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Trainee AI Engineer

✨Tip Number 1

Network like a pro! Reach out to people in the AI field on LinkedIn or at local meetups. We can’t stress enough how valuable connections can be when it comes to landing that dream role.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing any projects or relevant coursework. Even if it’s just personal projects, having something to demonstrate your interest and abilities can really set you apart.

✨Tip Number 3

Prepare for interviews by practising common questions related to AI and machine learning. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.

✨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 seeing candidates who are proactive about their job search!

We think you need these skills to ace Trainee AI Engineer

Interest in AI
Interest in Machine Learning
Interest in Data Science
Basic Understanding of Python
Data Analysis
Algorithms
Statistics
Problem-Solving Skills
Attention to Detail
Communication Skills
Team Collaboration
Commitment to Continuous Learning
Willingness to Learn

Some tips for your application 🫡

Show Your Curiosity: We want to see your passion for AI and machine learning! In your application, share any projects or experiences that sparked your interest in this field. Don’t be shy about your enthusiasm!

Tailor Your Application: Make sure to customise your CV and cover letter to highlight relevant skills and experiences. We love seeing how you connect your background to the role of Trainee AI Engineer, so don’t hold back!

Keep It Clear and Concise: When writing your application, clarity is key. Use straightforward language and avoid jargon. We appreciate a well-structured application that’s easy to read and gets straight to the point.

Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. This way, we can easily track your application and get back to you quicker. Plus, it shows you’re serious about joining our team!

How to prepare for a job interview at Nxsteprecuitment

✨Show Your Curiosity

As a Trainee AI Engineer, your eagerness to learn is key. Be prepared to discuss what excites you about AI and machine learning. Share any personal projects or online courses you've taken to show your commitment to the field.

✨Brush Up on Python Basics

Even if you’re not a coding whiz yet, having a basic understanding of Python will help you stand out. Familiarise yourself with common libraries used in AI, like NumPy and Pandas, and be ready to talk about how you plan to improve your skills.

✨Demonstrate Problem-Solving Skills

AI engineering often involves tackling complex problems. Prepare examples of challenges you've faced in the past, whether academic or personal, and explain how you approached them. This shows your analytical thinking and resilience.

✨Communicate Effectively

Strong communication is crucial in a team environment. Practice explaining technical concepts in simple terms, as you may need to collaborate with non-technical stakeholders. This will highlight your ability to work well within a team.

Trainee AI Engineer
Nxsteprecuitment
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