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- Tasks: Build and evaluate machine learning models while collaborating with a dynamic tech team.
- Company: Join a forward-thinking tech company with a focus on AI and data-driven solutions.
- Benefits: Enjoy competitive salary, hybrid working, mentorship, and career development opportunities.
- Why this job: Make a real-world impact by working on AI systems used globally.
- Qualifications: Degree in relevant field and 0-2 years of experience in AI or machine learning.
- Other info: Flexible work environment with strong emphasis on learning and growth.
The predicted salary is between 28800 - 48000 £ per year.
Are you a Junior AI Engineer looking to kick-start your career working on real-world machine learning systems used at scale? We’re looking for a curious and motivated Junior AI Engineer to join a collaborative, data-driven technology team, working in a flexible hybrid setup with offices in London and Luton. This role is ideal for someone early in their career who’s excited about applied AI, enjoys building things that go into production, and wants to learn from experienced engineers in a fast-moving environment.
You’ll be part of a modern engineering function working on large-scale data and AI products, contributing to model development, data pipelines, and deployment workflows that power mission-critical platforms.
In this role, you’ll:
- Build, train, and evaluate machine learning models using Python
- Work with large, complex datasets to support AI-driven products and insights
- Assist with feature engineering, model experimentation, and performance optimisation
- Contribute to data and ML pipelines in cloud-based environments
- Work with structured and semi-structured data using SQL
- Support the deployment and monitoring of models in production environments
- Collaborate closely with data engineers, software engineers, and product teams
- Help maintain best practices around testing, documentation, and reproducibility
What’s in it for you?
- Career Development – Hands-on experience, mentorship from senior AI and data engineers, and clear progression paths
- Learning Culture – A team that encourages curiosity, experimentation, and continuous improvement
- Hybrid Working – A flexible mix of remote work and time in London and Luton offices
- Real-World Impact – Work on AI systems used by global customers at scale
- Competitive Package – Salary and benefits based on experience, including bonus, pension, and generous annual leave
What we’re looking for:
- A degree in Computer Science, AI, Data Science, Mathematics, Engineering, or a related field
- 0–2 years of experience in AI, machine learning, or software/data engineering (including internships, placements, or academic projects)
- Strong Python skills for ML and data processing
- Experience working with SQL and structured datasets
- Familiarity with cloud platforms and modern data stacks
- A solid understanding of machine learning fundamentals and data workflows
- Strong communication skills and a collaborative mindset
- Experience with Snowflake
- Experience with Databricks
- Exposure to ML pipelines, MLOps, or production ML systems
If you’re excited about building AI systems, learning fast, and growing your career in a supportive, high-impact environment, we’d love to hear from you.
Apply now and take the next step in your AI engineering career.
Artificial Intelligence Engineer employer: Intellect Group
Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the AI field on LinkedIn or at local meetups. You never know who might have a lead on a job or can give you insider info about a company.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and Python. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common AI-related questions and be ready to discuss your past projects and how they relate to the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that match the job description. We want to see your Python prowess and any hands-on projects you've tackled, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and how you can contribute to our team. We love seeing enthusiasm and a bit of personality, so let us know why you're excited about this role.
Showcase Your Projects: If you've worked on any AI or machine learning projects, make sure to mention them! Whether it's an academic project or something from an internship, we want to see what you've built and how it relates to the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining the StudySmarter family!
How to prepare for a job interview at Intellect Group
✨Know Your Stuff
Make sure you brush up on your Python skills and understand the basics of machine learning. Be ready to discuss any projects or experiences you've had with AI, data processing, or SQL. This will show that you're not just a theory person but someone who can apply their knowledge practically.
✨Show Your Curiosity
Since this role values curiosity and a willingness to learn, come prepared with questions about the team’s projects or the technologies they use. This demonstrates your enthusiasm for the field and your eagerness to grow within the company.
✨Collaborate Like a Pro
Highlight your teamwork skills during the interview. Share examples of how you've worked with others in past projects, especially if you’ve collaborated with engineers or data scientists. This will resonate well, as the role involves close collaboration with various teams.
✨Be Ready for Practical Scenarios
Expect some technical questions or practical scenarios related to model development or data pipelines. Practise explaining your thought process clearly and concisely, as communication is key in a collaborative environment. This will help you stand out as a candidate who can articulate complex ideas effectively.